1
|
Naquin TD, Canning AJ, Gu Y, Chen J, Naquin CM, Xia J, Lu B, Yang S, Koroza A, Lin K, Wang HN, Jeck WR, Lee LP, Vo-Dinh T, Huang TJ. Acoustic separation and concentration of exosomes for nucleotide detection: ASCENDx. Sci Adv 2024; 10:eadm8597. [PMID: 38457504 PMCID: PMC10923504 DOI: 10.1126/sciadv.adm8597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 02/05/2024] [Indexed: 03/10/2024]
Abstract
Efficient isolation and analysis of exosomal biomarkers hold transformative potential in biomedical applications. However, current methods are prone to contamination and require costly consumables, expensive equipment, and skilled personnel. Here, we introduce an innovative spaceship-like disc that allows Acoustic Separation and Concentration of Exosomes and Nucleotide Detection: ASCENDx. We created ASCENDx to use acoustically driven disc rotation on a spinning droplet to generate swift separation and concentration of exosomes from patient plasma samples. Integrated plasmonic nanostars on the ASCENDx disc enable label-free detection of enriched exosomes via surface-enhanced Raman scattering. Direct detection of circulating exosomal microRNA biomarkers from patient plasma samples by the ASCENDx platform facilitated a diagnostic assay for colorectal cancer with 95.8% sensitivity and 100% specificity. ASCENDx overcomes existing limitations in exosome-based molecular diagnostics and holds a powerful position for future biomedical research, precision medicine, and point-of-care medical diagnostics.
Collapse
Affiliation(s)
- Ty D. Naquin
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Aidan J. Canning
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Yuyang Gu
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Jianing Chen
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Chloe M. Naquin
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Jianping Xia
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Brandon Lu
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Shujie Yang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Aleksandra Koroza
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Katherine Lin
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Hsin-Neng Wang
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - William R. Jeck
- Department of Pathology, Duke University Medical Center, Durham, NC 27708, USA
| | - Luke P. Lee
- Harvard Medical School, Harvard University; Renal Division and Division of Engineering in Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Department of Bioengineering and Department of Electrical Engineering and Computer Science, University of California, Berkeley, Berkeley, CA 94720, USA
- Institute of Quantum Biophysics, Department of Biophysics, Sungkyunkwan University, Suwon, Gyeonggi-do, Korea
- Department of Chemistry and Nanoscience, Ewha Womans University, Seoul, Korea
| | - Tuan Vo-Dinh
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Tony Jun Huang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| |
Collapse
|
2
|
Rufo J, Zhang P, Wang Z, Gu Y, Yang K, Rich J, Chen C, Zhong R, Jin K, He Y, Xia J, Li K, Wu J, Ouyang Y, Sadovsky Y, Lee LP, Huang TJ. High-yield and rapid isolation of extracellular vesicles by flocculation via orbital acoustic trapping: FLOAT. Microsyst Nanoeng 2024; 10:23. [PMID: 38317693 PMCID: PMC10838941 DOI: 10.1038/s41378-023-00648-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 11/01/2023] [Accepted: 11/11/2023] [Indexed: 02/07/2024]
Abstract
Extracellular vesicles (EVs) have been identified as promising biomarkers for the noninvasive diagnosis of various diseases. However, challenges in separating EVs from soluble proteins have resulted in variable EV recovery rates and low purities. Here, we report a high-yield ( > 90%) and rapid ( < 10 min) EV isolation method called FLocculation via Orbital Acoustic Trapping (FLOAT). The FLOAT approach utilizes an acoustofluidic droplet centrifuge to rotate and controllably heat liquid droplets. By adding a thermoresponsive polymer flocculant, nanoparticles as small as 20 nm can be rapidly and selectively concentrated at the center of the droplet. We demonstrate the ability of FLOAT to separate urinary EVs from the highly abundant Tamm-Horsfall protein, addressing a significant obstacle in the development of EV-based liquid biopsies. Due to its high-yield nature, FLOAT reduces biofluid starting volume requirements by a factor of 100 (from 20 mL to 200 µL), demonstrating its promising potential in point-of-care diagnostics.
Collapse
Affiliation(s)
- Joseph Rufo
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC USA
| | - Peiran Zhang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC USA
| | - Zeyu Wang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC USA
| | - Yuyang Gu
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC USA
| | - Kaichun Yang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC USA
| | - Joseph Rich
- Department of Biomedical Engineering, Duke University, Durham, NC USA
| | - Chuyi Chen
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC USA
| | - Ruoyu Zhong
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC USA
| | - Ke Jin
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC USA
| | - Ye He
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC USA
| | - Jianping Xia
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC USA
| | - Ke Li
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC USA
| | - Jiarong Wu
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC USA
| | - Yingshi Ouyang
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Magee-Womens Research Institute, University of Pittsburgh, Pittsburgh, PA USA
| | - Yoel Sadovsky
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Magee-Womens Research Institute, University of Pittsburgh, Pittsburgh, PA USA
- Department of Microbiology and Molecular Genetics, School of Medicine, University of Pittsburgh, Pittsburgh, PA USA
| | - Luke P. Lee
- Renal Division and Division of Engineering in Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA
- Department of Bioengineering, Department of Electrical Engineering and Computer Science, University of California, Berkeley, Berkeley, CA USA
- Department of Biophysics, Institute of Quantum Biophysics, Sungkyunkwan University, Suwon, Korea
| | - Tony Jun Huang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC USA
| |
Collapse
|
3
|
Upreti N, Jin G, Rich J, Zhong R, Mai J, Zhao C, Huang TJ. Advances in Microsphere-based Super-resolution Imaging. IEEE Rev Biomed Eng 2024; PP:1-16. [PMID: 38241119 DOI: 10.1109/rbme.2024.3355875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2024]
Abstract
Techniques to resolve images beyond the diffraction limit of light with a large field of view (FOV) are necessary to foster progress in various fields such as cell and molecular biology, biophysics, and nanotechnology, where nanoscale resolution is crucial for understanding the intricate details of large-scale molecular interactions. Although several means of achieving super-resolutions exist, they are often hindered by factors such as high costs, significant complexity, lengthy processing times, and the classical tradeoff between image resolution and FOV. Microsphere-based super-resolution imaging has emerged as a promising approach to address these limitations. In this review, we delve into the theoretical underpinnings of microsphere-based imaging and the associated photonic nanojet. This is followed by a comprehensive exploration of various microsphere-based imaging techniques, encompassing static imaging, mechanical scanning, optical scanning, and acoustofluidic scanning methodologies. This review concludes with a forward-looking perspective on the potential applications and future scientific directions of this innovative technology.
Collapse
|
4
|
Rich J, Cole B, Li T, Lu B, Fu H, Smith BN, Xia J, Yang S, Zhong R, Doherty JL, Kaneko K, Suzuki H, Tian Z, Franklin AD, Huang TJ. Aerosol jet printing of surface acoustic wave microfluidic devices. Microsyst Nanoeng 2024; 10:2. [PMID: 38169478 PMCID: PMC10757899 DOI: 10.1038/s41378-023-00606-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 08/17/2023] [Accepted: 09/06/2023] [Indexed: 01/05/2024]
Abstract
The addition of surface acoustic wave (SAW) technologies to microfluidics has greatly advanced lab-on-a-chip applications due to their unique and powerful attributes, including high-precision manipulation, versatility, integrability, biocompatibility, contactless nature, and rapid actuation. However, the development of SAW microfluidic devices is limited by complex and time-consuming micro/nanofabrication techniques and access to cleanroom facilities for multistep photolithography and vacuum-based processing. To simplify the fabrication of SAW microfluidic devices with customizable dimensions and functions, we utilized the additive manufacturing technique of aerosol jet printing. We successfully fabricated customized SAW microfluidic devices of varying materials, including silver nanowires, graphene, and poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS). To characterize and compare the acoustic actuation performance of these aerosol jet printed SAW microfluidic devices with their cleanroom-fabricated counterparts, the wave displacements and resonant frequencies of the different fabricated devices were directly measured through scanning laser Doppler vibrometry. Finally, to exhibit the capability of the aerosol jet printed devices for lab-on-a-chip applications, we successfully conducted acoustic streaming and particle concentration experiments. Overall, we demonstrated a novel solution-based, direct-write, single-step, cleanroom-free additive manufacturing technique to rapidly develop SAW microfluidic devices that shows viability for applications in the fields of biology, chemistry, engineering, and medicine.
Collapse
Affiliation(s)
- Joseph Rich
- Department of Biomedical Engineering, Duke University, Durham, NC 27708 USA
| | - Brian Cole
- Department of Electrical and Computer Engineering, Duke University, Durham, NC 27708 USA
| | - Teng Li
- Department of Mechanical Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061 USA
| | - Brandon Lu
- Department of Biomedical Engineering, Duke University, Durham, NC 27708 USA
| | - Hanyu Fu
- Department of Biomedical Engineering, Duke University, Durham, NC 27708 USA
| | - Brittany N. Smith
- Department of Electrical and Computer Engineering, Duke University, Durham, NC 27708 USA
| | - Jianping Xia
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708 USA
| | - Shujie Yang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708 USA
| | - Ruoyu Zhong
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708 USA
| | - James L. Doherty
- Department of Electrical and Computer Engineering, Duke University, Durham, NC 27708 USA
| | - Kanji Kaneko
- Deptartment of Precision Mechanics, Faculty of Science and Engineering, Chuo University, Tokyo, 112-8551 Japan
| | - Hiroaki Suzuki
- Deptartment of Precision Mechanics, Faculty of Science and Engineering, Chuo University, Tokyo, 112-8551 Japan
| | - Zhenhua Tian
- Department of Mechanical Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061 USA
| | - Aaron D. Franklin
- Department of Electrical and Computer Engineering, Duke University, Durham, NC 27708 USA
- Department of Chemistry, Duke University, Durham, NC 27708 USA
| | - Tony Jun Huang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708 USA
| |
Collapse
|
5
|
Zhong R, Sullivan M, Upreti N, Chen R, De Ganzó A, Yang K, Yang S, Jin K, He Y, Li K, Xia J, Ma Z, Lee LP, Konry T, Huang TJ. Cellular immunity analysis by a modular acoustofluidic platform: CIAMAP. Sci Adv 2023; 9:eadj9964. [PMID: 38134285 PMCID: PMC10745697 DOI: 10.1126/sciadv.adj9964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Accepted: 11/22/2023] [Indexed: 12/24/2023]
Abstract
The study of molecular mechanisms at the single-cell level holds immense potential for enhancing immunotherapy and understanding neuroinflammation and neurodegenerative diseases by identifying previously concealed pathways within a diverse range of paired cells. However, existing single-cell pairing platforms have limitations in low pairing efficiency, complex manual operation procedures, and single-use functionality. Here, we report a multiparametric cellular immunity analysis by a modular acoustofluidic platform: CIAMAP. This platform enables users to efficiently sort and collect effector-target (i.e., NK92-K562) cell pairs and monitor the real-time dynamics of immunological response formation. Furthermore, we conducted transcriptional and protein expression analyses to evaluate the pathways that mediate effector cytotoxicity toward target cells, as well as the synergistic effect of doxorubicin on the cellular immune response. Our CIAMAP can provide promising building blocks for high-throughput quantitative single-cell level coculture to understand intercellular communication while also empowering immunotherapy by precision analysis of immunological synapses.
Collapse
Affiliation(s)
- Ruoyu Zhong
- Thomas Lord Department of Mechanical Engineering & Materials Science, Duke University, Durham, NC 27708, USA
| | - Matthew Sullivan
- Department of Pharmaceutical Sciences, Bouvé College of Health Sciences, Northeastern University, Boston, MA 02115, USA
| | - Neil Upreti
- Biomedical Engineering Department, Pratt School of Engineering, Duke University, Durham, NC 27708, USA
| | - Roy Chen
- Biomedical Engineering Department, Pratt School of Engineering, Duke University, Durham, NC 27708, USA
| | - Agustin De Ganzó
- Department of Pharmaceutical Sciences, Bouvé College of Health Sciences, Northeastern University, Boston, MA 02115, USA
| | - Kaichun Yang
- Thomas Lord Department of Mechanical Engineering & Materials Science, Duke University, Durham, NC 27708, USA
| | - Shujie Yang
- Thomas Lord Department of Mechanical Engineering & Materials Science, Duke University, Durham, NC 27708, USA
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Ke Jin
- Thomas Lord Department of Mechanical Engineering & Materials Science, Duke University, Durham, NC 27708, USA
| | - Ye He
- Thomas Lord Department of Mechanical Engineering & Materials Science, Duke University, Durham, NC 27708, USA
| | - Ke Li
- Thomas Lord Department of Mechanical Engineering & Materials Science, Duke University, Durham, NC 27708, USA
| | - Jianping Xia
- Thomas Lord Department of Mechanical Engineering & Materials Science, Duke University, Durham, NC 27708, USA
| | - Zhiteng Ma
- Thomas Lord Department of Mechanical Engineering & Materials Science, Duke University, Durham, NC 27708, USA
| | - Luke P. Lee
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Bioengineering, Department of Electrical Engineering and Computer Science, University of California, Berkeley, Berkeley, CA 94720, USA
- Institute of Quantum Biophysics, Department of Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Department of Chemistry and Nano Science, Ewha Womans University, Seoul 03760, Republic of Korea
| | - Tania Konry
- Department of Pharmaceutical Sciences, Bouvé College of Health Sciences, Northeastern University, Boston, MA 02115, USA
| | - Tony Jun Huang
- Thomas Lord Department of Mechanical Engineering & Materials Science, Duke University, Durham, NC 27708, USA
| |
Collapse
|
6
|
He Y, Yang S, Liu P, Li K, Jin K, Becker R, Zhang J, Lin C, Xia J, Ma Z, Ma Z, Zhong R, Lee LP, Huang TJ. Acoustofluidic Interfaces for the Mechanobiological Secretome of MSCs. Nat Commun 2023; 14:7639. [PMID: 37993431 PMCID: PMC10665559 DOI: 10.1038/s41467-023-43239-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 11/03/2023] [Indexed: 11/24/2023] Open
Abstract
While mesenchymal stem cells (MSCs) have gained enormous attention due to their unique properties of self-renewal, colony formation, and differentiation potential, the MSC secretome has become attractive due to its roles in immunomodulation, anti-inflammatory activity, angiogenesis, and anti-apoptosis. However, the precise stimulation and efficient production of the MSC secretome for therapeutic applications are challenging problems to solve. Here, we report on Acoustofluidic Interfaces for the Mechanobiological Secretome of MSCs: AIMS. We create an acoustofluidic mechanobiological environment to form reproducible three-dimensional MSC aggregates, which produce the MSC secretome with high efficiency. We confirm the increased MSC secretome is due to improved cell-cell interactions using AIMS: the key mediator N-cadherin was up-regulated while functional blocking of N-cadherin resulted in no enhancement of the secretome. After being primed by IFN-γ, the secretome profile of the MSC aggregates contains more anti-inflammatory cytokines and can be used to inhibit the pro-inflammatory response of M1 phenotype macrophages, suppress T cell activation, and support B cell functions. As such, the MSC secretome can be modified for personalized secretome-based therapies. AIMS acts as a powerful tool for improving the MSC secretome and precisely tuning the secretory profile to develop new treatments in translational medicine.
Collapse
Affiliation(s)
- Ye He
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Shujie Yang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Pengzhan Liu
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Ke Li
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Ke Jin
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Ryan Becker
- Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA
| | - Jinxin Zhang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Chuanchuan Lin
- Department of Blood Transfusion, Irradiation Biology Laboratory, Xinqiao Hospital, Chongqing, 400037, China
| | - Jianping Xia
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Zhehan Ma
- Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA
| | - Zhiteng Ma
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Ruoyu Zhong
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Luke P Lee
- Harvard Medical School, Harvard University, Renal Division and Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA.
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA, 94720, USA.
- Department of Electrical Engineering and Computer Science, University of California, Berkeley, Berkeley, CA, 94720, USA.
- Department of Biophysics, Institute of Quantum Biophysics, Sungkyunkwan University, Suwon, Korea.
- Department of Chemistry and Nanoscience, Ewha Womans University, Seoul, Korea.
| | - Tony Jun Huang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA.
| |
Collapse
|
7
|
Yang S, Rufo J, Zhong R, Rich J, Wang Z, Lee LP, Huang TJ. Acoustic tweezers for high-throughput single-cell analysis. Nat Protoc 2023; 18:2441-2458. [PMID: 37468650 DOI: 10.1038/s41596-023-00844-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 04/18/2023] [Indexed: 07/21/2023]
Abstract
Acoustic tweezers provide an effective means for manipulating single cells and particles in a high-throughput, precise, selective and contact-free manner. The adoption of acoustic tweezers in next-generation cellular assays may advance our understanding of biological systems. Here we present a comprehensive set of instructions that guide users through device fabrication, instrumentation setup and data acquisition to study single cells with an experimental throughput that surpasses traditional methods, such as atomic force microscopy and micropipette aspiration, by several orders of magnitude. With acoustic tweezers, users can conduct versatile experiments that require the trapping, patterning, pairing and separation of single cells in a myriad of applications ranging across the biological and biomedical sciences. This procedure is widely generalizable and adaptable for investigations in materials and physical sciences, such as the spinning motion of colloids or the development of acoustic-based quantum simulations. Overall, the device fabrication requires ~12 h, the experimental setup of the acoustic tweezers requires 1-2 h and the cell manipulation experiment requires ~30 min to complete. Our protocol is suitable for use by interdisciplinary researchers in biology, medicine, engineering and physics.
Collapse
Affiliation(s)
- Shujie Yang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, USA
| | - Joseph Rufo
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, USA
| | - Ruoyu Zhong
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, USA
| | - Joseph Rich
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Zeyu Wang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, USA
| | - Luke P Lee
- Renal Division and Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- Department of Bioengineering, Department of Electrical Engineering and Computer Science, University of California, Berkeley, Berkeley, CA, USA.
- Institute of Quantum Biophysics, Department of Biophysics, Sungkyunkwan University, Suwon, South Korea.
| | - Tony Jun Huang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, USA.
| |
Collapse
|
8
|
Buchheit T, Huh Y, Breglio A, Bang S, Xu J, Matsuoka Y, Guo R, Bortsov A, Reinecke J, Wehling P, Jun Huang T, Ji RR. Intrathecal administration of conditioned serum from different species resolves Chemotherapy-Induced neuropathic pain in mice via secretory exosomes. Brain Behav Immun 2023; 111:298-311. [PMID: 37150265 PMCID: PMC10363329 DOI: 10.1016/j.bbi.2023.04.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 04/12/2023] [Accepted: 04/30/2023] [Indexed: 05/09/2023] Open
Abstract
Chemotherapy-induced peripheral neuropathy (CIPN) is the most prevalent neurological complication of chemotherapy for cancer, and has limited effective treatment options. Autologous conditioned serum (ACS) is an effective biologic therapy used by intra-articular injection for patients with osteoarthritis. However, ACS has not been systematically tested in the treatment of peripheral neuropathies such as CIPN. It has been generally assumed that the analgesic effect of this biologic therapy results from augmented concentrations of anti-inflammatory cytokines and growth factors. Here we report that a single intrathecal injection of human conditioned serum (hCS) produced long-lasting inhibition of paclitaxel chemotherapy-induced neuropathic pain (mechanical allodynia) in mice, without causing motor impairment. Strikingly, the analgesic effect of hCS in our experiments was maintained even 8 weeks after the treatment, compared with non-conditioned human serum (hNCS). Furthermore, the hCS transfer-induced pain relief in mice was fully recapitulated by rat or mouse CS transfer to mice of both sexes, indicating cross-species and cross-sex effectiveness. Mechanistically, CS treatment blocked the chemotherapy-induced glial reaction in the spinal cord and improved nerve conduction. Compared to NCS, CS contained significantly higher concentrations of anti-inflammatory and pro-resolving mediators, including IL-1Ra, TIMP-1, TGF-β1, and resolvins D1/D2. Intrathecal injection of anti-TGF-β1 and anti-Il-1Ra antibody transiently reversed the analgesic action of CS. Nanoparticle tracking analysis revealed that rat conditioned serum contained a significantly greater number of exosomes than NCS. Importantly, the removal of exosomes by high-speed centrifugation largely diminished the CS-produced pain relief, suggesting a critical involvement of small vesicles (exosomes) in the beneficial effects of CS. Together, our findings demonstrate that intrathecal CS produces a remarkable resolution of neuropathic pain mediated through a combination of small vesicles/exosomes and neuroimmune/neuroglial modulation.
Collapse
Affiliation(s)
- Thomas Buchheit
- Center for Translational Pain Medicine, Department of Anesthesiology, Duke University Medical Center, Durham, NC 27710, USA; Anesthesiology Service, Durham Veterans Affairs Health Care System, Durham, NC 27705, USA.
| | - Yul Huh
- Center for Translational Pain Medicine, Department of Anesthesiology, Duke University Medical Center, Durham, NC 27710, USA; Department of Cell Biology, Duke University Medical Center, Durham, NC 27710, USA
| | - Andrew Breglio
- Center for Translational Pain Medicine, Department of Anesthesiology, Duke University Medical Center, Durham, NC 27710, USA
| | - Sangsu Bang
- Center for Translational Pain Medicine, Department of Anesthesiology, Duke University Medical Center, Durham, NC 27710, USA
| | - Jing Xu
- Center for Translational Pain Medicine, Department of Anesthesiology, Duke University Medical Center, Durham, NC 27710, USA
| | - Yutaka Matsuoka
- Center for Translational Pain Medicine, Department of Anesthesiology, Duke University Medical Center, Durham, NC 27710, USA
| | - Ran Guo
- Center for Translational Pain Medicine, Department of Anesthesiology, Duke University Medical Center, Durham, NC 27710, USA
| | - Andrey Bortsov
- Center for Translational Pain Medicine, Department of Anesthesiology, Duke University Medical Center, Durham, NC 27710, USA
| | | | - Peter Wehling
- Center for Translational Pain Medicine, Department of Anesthesiology, Duke University Medical Center, Durham, NC 27710, USA; ORTHOGEN AG, Düsseldorf, Germany
| | - Tony Jun Huang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27710, USA
| | - Ru-Rong Ji
- Center for Translational Pain Medicine, Department of Anesthesiology, Duke University Medical Center, Durham, NC 27710, USA; Department of Cell Biology, Duke University Medical Center, Durham, NC 27710, USA; Department of Neurobiology, Duke University Medical Center, Durham, NC 27710, USA.
| |
Collapse
|
9
|
Jin G, Rich J, Xia J, Upreti N, Zhao C, Huang TJ. Acoustofluidic scanning fluorescence nanoscopy with large field of view. Res Sq 2023:rs.3.rs-3069123. [PMID: 37461478 PMCID: PMC10350121 DOI: 10.21203/rs.3.rs-3069123/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Nanoscale fluorescence imaging with a large-field view is invaluable for many applications such as imaging of subcellular structures, visualizing protein interaction, and high-resolution tissue imaging. Unfortunately, conventional fluorescence microscopy has to make a trade-off between resolution and field of view due to the nature of the optics used to form an image. To overcome this barrier, we have developed an acoustofluidic scanning fluorescence nanoscope that can simultaneously achieve superior resolution, a large field of view, and enhanced fluorescent signal. The acoustofluidic scanning fluorescence nanoscope utilizes the super-resolution capability of microspheres that are controlled by a programable acoustofluidic device for rapid fluorescent enhancement and imaging. The acoustofluidic scanning fluorescence nanoscope can resolve structures that cannot be achieved with a conventional fluorescent microscope with the same objective lens and enhances the fluorescent signal by a factor of ~5 without altering the field of view of the image. The improved resolution with enhanced fluorescent signal and large field of view via the acoustofluidic scanning fluorescence nanoscope provides a powerful tool for versatile nanoscale fluorescence imaging for researchers in the fields of medicine, biology, biophysics, and biomedical engineering.
Collapse
Affiliation(s)
- Geonsoo Jin
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Joseph Rich
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Jianping Xia
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Neil Upreti
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Chenglong Zhao
- Department of Physics, University of Dayton, 300 College Park, Dayton, OH 45469, USA
- Department of Electro-Optics and Photonics, University of Dayton, 300 College Park, Dayton, OH 45469, USA
| | - Tony Jun Huang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| |
Collapse
|
10
|
Shen L, Tian Z, Zhang J, Zhu H, Yang K, Li T, Rich J, Upreti N, Hao N, Pei Z, Jin G, Yang S, Liang Y, Chaohui W, Huang TJ. Acousto-dielectric tweezers for size-insensitive manipulation and biophysical characterization of single cells. Biosens Bioelectron 2023; 224:115061. [PMID: 36634509 DOI: 10.1016/j.bios.2023.115061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 10/03/2022] [Accepted: 01/03/2023] [Indexed: 01/07/2023]
Abstract
The intrinsic biophysical properties of cells, such as mechanical, acoustic, and electrical properties, are valuable indicators of a cell's function and state. However, traditional single-cell biophysical characterization methods are hindered by limited measurable properties, time-consuming procedures, and complex system setups. This study presents acousto-dielectric tweezers that leverage the balance between controllable acoustophoretic and dielectrophoretic forces applied on cells through surface acoustic waves and alternating current electric fields, respectively. Particularly, the balanced acoustophoretic and dielectrophoretic forces can trap cells at equilibrium positions independent of the cell size to differentiate between various cell-intrinsic mechanical, acoustic, and electrical properties. Experimental results show our mechanism has the potential for applications in single-cell analysis, size-insensitive cell separation, and cell phenotyping, which are all primarily based on cells' intrinsic biophysical properties. Our results also show the measured equilibrium position of a cell can inversely determine multiple biophysical properties, including membrane capacitance, cytoplasm conductivity, and acoustic contrast factor. With these features, our acousto-dielectric tweezing mechanism is a valuable addition to the resources available for biophysical property-based biological and medical research.
Collapse
Affiliation(s)
- Liang Shen
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA; State Key Laboratory of Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, China
| | - Zhenhua Tian
- Department of Mechanical Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA.
| | - Jinxin Zhang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Haodong Zhu
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Kaichun Yang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Teng Li
- Department of Mechanical Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA
| | - Joseph Rich
- Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA
| | - Neil Upreti
- Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA
| | - Nanjing Hao
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Zhichao Pei
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Geonsoo Jin
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Shujie Yang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Yaosi Liang
- Department of Pharmacology and Cancer Biology, Duke University, Durham, NC, 27708, USA
| | - Wang Chaohui
- State Key Laboratory of Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, China.
| | - Tony Jun Huang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA.
| |
Collapse
|
11
|
Zhang J, Chen C, Becker R, Rufo J, Yang S, Mai J, Zhang P, Gu Y, Wang Z, Ma Z, Xia J, Hao N, Tian Z, Wong DT, Sadovsky Y, Lee LP, Huang TJ. A solution to the biophysical fractionation of extracellular vesicles: Acoustic Nanoscale Separation via Wave-pillar Excitation Resonance (ANSWER). Sci Adv 2022; 8:eade0640. [PMID: 36417505 PMCID: PMC9683722 DOI: 10.1126/sciadv.ade0640] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 10/25/2022] [Indexed: 06/16/2023]
Abstract
High-precision isolation of small extracellular vesicles (sEVs) from biofluids is essential toward developing next-generation liquid biopsies and regenerative therapies. However, current methods of sEV separation require specialized equipment and time-consuming protocols and have difficulties producing highly pure subpopulations of sEVs. Here, we present Acoustic Nanoscale Separation via Wave-pillar Excitation Resonance (ANSWER), which allows single-step, rapid (<10 min), high-purity (>96% small exosomes, >80% exomeres) fractionation of sEV subpopulations from biofluids without the need for any sample preprocessing. Particles are iteratively deflected in a size-selective manner via an excitation resonance. This previously unidentified phenomenon generates patterns of virtual, tunable, pillar-like acoustic field in a fluid using surface acoustic waves. Highly precise sEV fractionation without the need for sample preprocessing or complex nanofabrication methods has been demonstrated using ANSWER, showing potential as a powerful tool that will enable more in-depth studies into the complexity, heterogeneity, and functionality of sEV subpopulations.
Collapse
Affiliation(s)
- Jinxin Zhang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Chuyi Chen
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Ryan Becker
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Joseph Rufo
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Shujie Yang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - John Mai
- Alfred E. Mann Institute for Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Peiran Zhang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Yuyang Gu
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Zeyu Wang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Zhehan Ma
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Jianping Xia
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Nanjing Hao
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Zhenhua Tian
- Department of Mechanical Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA 24060, USA
| | - David T. W. Wong
- School of Dentistry and the Departments of Otolaryngology/Head and Neck Surgery, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Yoel Sadovsky
- Magee-Womens Research Institute, University of Pittsburgh, Pittsburgh, PA 15213, USA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Luke P. Lee
- Renal Division and Division of Engineering in Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Harvard University, Boston, MA 02115, USA
- Department of Bioengineering, Department of Electrical Engineering and Computer Science, University of California, Berkeley, Berkeley, CA 94720, USA
- Institute of Quantum Biophysics, Department of Biophysics, Sungkyunkwan University, Suwon, Korea
| | - Tony Jun Huang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| |
Collapse
|
12
|
Liu Z, Li T, Wang Z, Liu J, Huang S, Min BH, An JY, Kim KM, Kim S, Chen Y, Liu H, Kim Y, Wong DT, Huang TJ, Xie YH. Gold Nanopyramid Arrays for Non-Invasive Surface-Enhanced Raman Spectroscopy-Based Gastric Cancer Detection via sEVs. ACS Appl Nano Mater 2022; 5:12506-12517. [PMID: 36185166 PMCID: PMC9513748 DOI: 10.1021/acsanm.2c01986] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 08/12/2022] [Indexed: 05/05/2023]
Abstract
Gastric cancer (GC) is one of the most common and lethal types of cancer affecting over one million people, leading to 768,793 deaths globally in 2020 alone. The key for improving the survival rate lies in reliable screening and early diagnosis. Existing techniques including barium-meal gastric photofluorography and upper endoscopy can be costly and time-consuming and are thus impractical for population screening. We look instead for small extracellular vesicles (sEVs, currently also referred as exosomes) sized ⌀ 30-150 nm as a candidate. sEVs have attracted a significantly higher level of attention during the past decade or two because of their potentials in disease diagnoses and therapeutics. Here, we report that the composition information of the collective Raman-active bonds inside sEVs of human donors obtained by surface-enhanced Raman spectroscopy (SERS) holds the potential for non-invasive GC detection. SERS was triggered by the substrate of gold nanopyramid arrays we developed previously. A machine learning-based spectral feature analysis algorithm was developed for objectively distinguishing the cancer-derived sEVs from those of the non-cancer sub-population. sEVs from the tissue, blood, and saliva of GC patients and non-GC participants were collected (n = 15 each) and analyzed. The algorithm prediction accuracies were reportedly 90, 85, and 72%. "Leave-a-pair-of-samples out" validation was further performed to test the clinical potential. The area under the curve of each receiver operating characteristic curve was 0.96, 0.91, and 0.65 in tissue, blood, and saliva, respectively. In addition, by comparing the SERS fingerprints of individual vesicles, we provided a possible way of tracing the biogenesis pathways of patient-specific sEVs from tissue to blood to saliva. The methodology involved in this study is expected to be amenable for non-invasive detection of diseases other than GC.
Collapse
Affiliation(s)
- Zirui Liu
- Department
of Materials Science and Engineering, University
of California Los Angeles, Los Angeles, California 90095, United States
| | - Tieyi Li
- Department
of Materials Science and Engineering, University
of California Los Angeles, Los Angeles, California 90095, United States
| | - Zeyu Wang
- Department
of Mechanical Engineering and Material Science, Duke University, Durham, North Carolina 27708, United States
| | - Jun Liu
- Department
of Materials Science and Engineering, University
of California Los Angeles, Los Angeles, California 90095, United States
| | - Shan Huang
- Department
of Materials Science and Engineering, University
of California Los Angeles, Los Angeles, California 90095, United States
| | - Byoung Hoon Min
- Department
of Medicine, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul 135-710, Korea
| | - Ji Young An
- Department
of Medicine, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul 135-710, Korea
| | - Kyoung Mee Kim
- Department
of Pathology and Translational Genomics, Sungkyunkwan University School
of Medicine, Samsung Medical Center, Seoul 135-710, Korea
| | - Sung Kim
- Department
of Surgery, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul 135-710, Korea
| | - Yiqing Chen
- Department
of Bioengineering, University of California, Riverside, Riverside, California 92521, United States
| | - Huinan Liu
- Department
of Bioengineering, University of California, Riverside, Riverside, California 92521, United States
| | - Yong Kim
- UCLA
School of Dentistry, 10833 Le Conte Ave. Box 951668, Los Angeles, California 90095-1668, United States
| | - David T.W. Wong
- UCLA
School of Dentistry, 10833 Le Conte Ave. Box 951668, Los Angeles, California 90095-1668, United States
| | - Tony Jun Huang
- Department
of Mechanical Engineering and Material Science, Duke University, Durham, North Carolina 27708, United States
| | - Ya-Hong Xie
- Department
of Materials Science and Engineering, University
of California Los Angeles, Los Angeles, California 90095, United States
- . Phone: (310) 259-6946
| |
Collapse
|
13
|
Mateescu B, Jones JC, Alexander RP, Alsop E, An JY, Asghari M, Boomgarden A, Bouchareychas L, Cayota A, Chang HC, Charest A, Chiu DT, Coffey RJ, Das S, De Hoff P, deMello A, D’Souza-Schorey C, Elashoff D, Eliato KR, Franklin JL, Galas DJ, Gerstein MB, Ghiran IH, Go DB, Gould S, Grogan TR, Higginbotham JN, Hladik F, Huang TJ, Huo X, Hutchins E, Jeppesen DK, Jovanovic-Talisman T, Kim BY, Kim S, Kim KM, Kim Y, Kitchen RR, Knouse V, LaPlante EL, Lebrilla CB, Lee LJ, Lennon KM, Li G, Li F, Li T, Liu T, Liu Z, Maddox AL, McCarthy K, Meechoovet B, Maniya N, Meng Y, Milosavljevic A, Min BH, Morey A, Ng M, Nolan J, De Oliveira Junior GP, Paulaitis ME, Phu TA, Raffai RL, Reátegui E, Roth ME, Routenberg DA, Rozowsky J, Rufo J, Senapati S, Shachar S, Sharma H, Sood AK, Stavrakis S, Stürchler A, Tewari M, Tosar JP, Tucker-Schwartz AK, Turchinovich A, Valkov N, Van Keuren-Jensen K, Vickers KC, Vojtech L, Vreeland WN, Wang C, Wang K, Wang Z, Welsh JA, Witwer KW, Wong DT, Xia J, Xie YH, Yang K, Zaborowski MP, Zhang C, Zhang Q, Zivkovic AM, Laurent LC. Phase 2 of extracellular RNA communication consortium charts next-generation approaches for extracellular RNA research. iScience 2022; 25:104653. [PMID: 35958027 PMCID: PMC9358052 DOI: 10.1016/j.isci.2022.104653] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
The extracellular RNA communication consortium (ERCC) is an NIH-funded program aiming to promote the development of new technologies, resources, and knowledge about exRNAs and their carriers. After Phase 1 (2013-2018), Phase 2 of the program (ERCC2, 2019-2023) aims to fill critical gaps in knowledge and technology to enable rigorous and reproducible methods for separation and characterization of both bulk populations of exRNA carriers and single EVs. ERCC2 investigators are also developing new bioinformatic pipelines to promote data integration through the exRNA atlas database. ERCC2 has established several Working Groups (Resource Sharing, Reagent Development, Data Analysis and Coordination, Technology Development, nomenclature, and Scientific Outreach) to promote collaboration between ERCC2 members and the broader scientific community. We expect that ERCC2's current and future achievements will significantly improve our understanding of exRNA biology and the development of accurate and efficient exRNA-based diagnostic, prognostic, and theranostic biomarker assays.
Collapse
Affiliation(s)
- Bogdan Mateescu
- Brain Research Institute, University of Zürich, Winterthurerstrasse 190, CH-8057 Zürich, Switzerland
- Institute for Chemical and Bioengineering, ETH Zürich, Vladimir Prelog Weg 1, 8093 Zürich, Switzerland
| | - Jennifer C. Jones
- Laboratory of Pathology Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | | | - Eric Alsop
- Neurogenomics Division, TGen, Phoenix, AZ 85004, USA
| | - Ji Yeong An
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Mohammad Asghari
- Institute for Chemical and Bioengineering, ETH Zürich, Vladimir Prelog Weg 1, 8093 Zürich, Switzerland
| | - Alex Boomgarden
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556, USA
| | - Laura Bouchareychas
- Department of Surgery, Division of Vascular and Endovascular Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
- Northern California Institute for Research and Education, San Francisco, CA 94121, USA
| | - Alfonso Cayota
- Functional Genomics Unit, Institut Pasteur de Montevideo, Montevideo 11400, Uruguay
- University Hospital, Universidad de la República, Montevideo 11600, Uruguay
| | - Hsueh-Chia Chang
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN 46556, USA
- Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN 46556, USA
| | - Al Charest
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Daniel T. Chiu
- Department of Chemistry and Bioengineering, University of Washington, Seattle, WA 98195, USA
| | - Robert J. Coffey
- Department of Medicine/Gastroenterology and Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Cell and Developmental Biology, Vanderbilt University, Nashville, TN 37235, USA
| | - Saumya Das
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Peter De Hoff
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, La Jolla, San Diego, CA 92093, USA
| | - Andrew deMello
- Institute for Chemical and Bioengineering, ETH Zürich, Vladimir Prelog Weg 1, 8093 Zürich, Switzerland
| | | | - David Elashoff
- Statistics Core, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Kiarash R. Eliato
- Department of Molecular Medicine, Beckman Research Institute of the City of Hope Comprehensive Cancer Center, Duarte, CA 91010, USA
| | - Jeffrey L. Franklin
- Department of Medicine/Gastroenterology and Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Cell and Developmental Biology, Vanderbilt University, Nashville, TN 37235, USA
| | - David J. Galas
- Pacific Northwest Research Institute, Seattle, WA 98122, USA
| | - Mark B. Gerstein
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
- Program in Computational Biology & Bioinformatics, Yale University, New Haven, CT 06520, USA
- Department of Computer Science, Yale University, New Haven, CT 06520, USA
| | - Ionita H. Ghiran
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - David B. Go
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN 46556, USA
- Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN 46556, USA
| | - Stephen Gould
- Department of Biological Chemistry, The Johns Hopkins University School of Medicine, 725 North Wolfe Street, Baltimore, MD 21205, USA
| | - Tristan R. Grogan
- Department of Medicine Statistics Core, David Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, USA
| | - James N. Higginbotham
- Department of Medicine/Gastroenterology and Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Florian Hladik
- Departments of Obstetrics and Gynecology, and Medicine, University of Washington, Seattle, WA, USA
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Tony Jun Huang
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA
| | - Xiaoye Huo
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN 46556, USA
| | | | - Dennis K. Jeppesen
- Department of Medicine/Gastroenterology and Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Tijana Jovanovic-Talisman
- Department of Molecular Medicine, Beckman Research Institute of the City of Hope Comprehensive Cancer Center, Duarte, CA 91010, USA
| | - Betty Y.S. Kim
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Sung Kim
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Kyoung-Mee Kim
- Department of Pathology & Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Yong Kim
- Department of Oral Biology and Medicine, UCLA School of Dentistry, Los Angeles, CA 90095, USA
| | - Robert R. Kitchen
- Corrigan Minehan Heart Center and Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Vaughan Knouse
- Laboratory of Pathology Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Emily L. LaPlante
- Bioinformatics Research Laboratory, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | | | - L. James Lee
- Department of Chemical and Biomolecular Engineering and Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
| | - Kathleen M. Lennon
- Department of Molecular Medicine, Beckman Research Institute of the City of Hope Comprehensive Cancer Center, Duarte, CA 91010, USA
| | - Guoping Li
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Feng Li
- Department of Oral Biology and Medicine, UCLA School of Dentistry, Los Angeles, CA 90095, USA
| | - Tieyi Li
- Department of Materials Science & Engineering, University of California Los Angeles, Los Angeles, CA 90095-1595, USA
| | - Tao Liu
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Zirui Liu
- Department of Materials Science & Engineering, University of California Los Angeles, Los Angeles, CA 90095-1595, USA
| | - Adam L. Maddox
- Department of Molecular Medicine, Beckman Research Institute of the City of Hope Comprehensive Cancer Center, Duarte, CA 91010, USA
| | - Kyle McCarthy
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN 46556, USA
| | | | - Nalin Maniya
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN 46556, USA
| | - Yingchao Meng
- Institute for Chemical and Bioengineering, ETH Zürich, Vladimir Prelog Weg 1, 8093 Zürich, Switzerland
| | - Aleksandar Milosavljevic
- Bioinformatics Research Laboratory, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
- Program in Quantitative and Computational Biosciences Baylor College of Medicine, Houston, TX 77030, USA
| | - Byoung-Hoon Min
- Department of Medicine, Samsung Medical Center, Sungkyunkwan University, School of Medicine, Seoul, South Korea
| | - Amber Morey
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, La Jolla, San Diego, CA 92093, USA
| | - Martin Ng
- Northern California Institute for Research and Education, San Francisco, CA 94121, USA
| | - John Nolan
- Scintillon Institute, San Diego, CA, USA
| | | | - Michael E. Paulaitis
- Center for Nanomedicine at the Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Tuan Anh Phu
- Northern California Institute for Research and Education, San Francisco, CA 94121, USA
| | - Robert L. Raffai
- Department of Surgery, Division of Vascular and Endovascular Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
- Northern California Institute for Research and Education, San Francisco, CA 94121, USA
- Department of Veterans Affairs, Surgical Service (112G), San Francisco VA Medical Center, San Francisco, CA 94121, USA
| | - Eduardo Reátegui
- Department of Chemical and Biomolecular Engineering and Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
| | - Matthew E. Roth
- Bioinformatics Research Laboratory, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | | | - Joel Rozowsky
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
| | - Joseph Rufo
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA
| | - Satyajyoti Senapati
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN 46556, USA
| | - Sigal Shachar
- Meso Scale Diagnostics, LLC, Rockville, MD 20850, USA
| | - Himani Sharma
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN 46556, USA
| | - Anil K. Sood
- Department of Gynecologic Oncology & Reproductive Medicine, University of Texas MD Aderson Cancer Center, Houston, TX 77030, USA
| | - Stavros Stavrakis
- Institute for Chemical and Bioengineering, ETH Zürich, Vladimir Prelog Weg 1, 8093 Zürich, Switzerland
| | - Alessandra Stürchler
- Brain Research Institute, University of Zürich, Winterthurerstrasse 190, CH-8057 Zürich, Switzerland
- Institute for Chemical and Bioengineering, ETH Zürich, Vladimir Prelog Weg 1, 8093 Zürich, Switzerland
| | - Muneesh Tewari
- Department of Internal Medicine, Hematology/Oncology Division, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA
- Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
- Rogel Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA
| | - Juan P. Tosar
- Functional Genomics Unit, Institut Pasteur de Montevideo, Montevideo 11400, Uruguay
- Analytical Biochemistry Unit, School of Science, Universidad de la República, Montevideo 11400, Uruguay
| | | | - Andrey Turchinovich
- Cancer Genome Research (B063), German Cancer Research Center DKFZ, Heidelberg 69120, Germany
- Heidelberg Biolabs GmbH, Heidelberg 69120, Germany
| | - Nedyalka Valkov
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | | | - Kasey C. Vickers
- Department of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Lucia Vojtech
- Department of Obstetrics and Gynecology, University of Washington, Seattle, WA 98195, USA
| | - Wyatt N. Vreeland
- Bioprocess Measurement Group, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA
| | - Ceming Wang
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN 46556, USA
| | - Kai Wang
- Institute for Systems Biology, Seattle, WA 98109, USA
| | - ZeYu Wang
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA
| | - Joshua A. Welsh
- Laboratory of Pathology Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Kenneth W. Witwer
- Department of Molecular and Comparative Pathobiology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - David T.W. Wong
- Department of Oral Biology and Medicine, UCLA School of Dentistry, Los Angeles, CA 90095, USA
| | - Jianping Xia
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA
| | - Ya-Hong Xie
- Department of Materials Science & Engineering, University of California Los Angeles, Los Angeles, CA 90095-1595, USA
| | - Kaichun Yang
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA
| | - Mikołaj P. Zaborowski
- Department of Gynecology, Obstetrics and Gynecologic Oncology, Division of Gynecologic Oncology, Poznan University of Medical Sciences, 60-535 Poznań, Poland
| | - Chenguang Zhang
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN 46556, USA
| | - Qin Zhang
- Department of Medicine/Gastroenterology and Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | | | - Louise C. Laurent
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, La Jolla, San Diego, CA 92093, USA
| |
Collapse
|
14
|
Jin G, Hong S, Rich J, Xia J, Kim K, You L, Zhao C, Huang TJ. Intelligent nanoscope for rapid nanomaterial identification and classification. Lab Chip 2022; 22:2978-2985. [PMID: 35647808 PMCID: PMC9378457 DOI: 10.1039/d2lc00206j] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
Machine learning image recognition and classification of particles and materials is a rapidly expanding field. However, nanomaterial identification and classification are dependent on the image resolution, the image field of view, and the processing time. Optical microscopes are one of the most widely utilized technologies in laboratories across the world, due to their nondestructive abilities to identify and classify critical micro-sized objects and processes, but identifying and classifying critical nano-sized objects and processes with a conventional microscope are outside of its capabilities, due to the diffraction limit of the optics and small field of view. To overcome these challenges of nanomaterial identification and classification, we developed an intelligent nanoscope that combines machine learning and microsphere array-based imaging to: (1) surpass the diffraction limit of the microscope objective with microsphere imaging to provide high-resolution images; (2) provide large field-of-view imaging without the sacrifice of resolution by utilizing a microsphere array; and (3) rapidly classify nanomaterials using a deep convolution neural network. The intelligent nanoscope delivers more than 46 magnified images from a single image frame so that we collected more than 1000 images within 2 seconds. Moreover, the intelligent nanoscope achieves a 95% nanomaterial classification accuracy using 1000 images of training sets, which is 45% more accurate than without the microsphere array. The intelligent nanoscope also achieves a 92% bacteria classification accuracy using 50 000 images of training sets, which is 35% more accurate than without the microsphere array. This platform accomplished rapid, accurate detection and classification of nanomaterials with miniscule size differences. The capabilities of this device wield the potential to further detect and classify smaller biological nanomaterial, such as viruses or extracellular vesicles.
Collapse
Affiliation(s)
- Geonsoo Jin
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
| | - Seongwoo Hong
- Office of Biomedical Graduate Education, Duke University School of Medicine, Durham, NC 27710, USA
| | - Joseph Rich
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
| | - Jianping Xia
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
| | - Kyeri Kim
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
| | - Lingchong You
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
- Center for Genomic and Computational Biology, Duke University, Durham, NC 27708, USA
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC 27708, USA
| | - Chenglong Zhao
- Department of Physics, University of Dayton, 300 College Park, Dayton, Ohio 45469, USA.
- Department of Electro-Optics and Photonics, University of Dayton, 300 College Park, Dayton, Ohio 45469, USA
| | - Tony Jun Huang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
| |
Collapse
|
15
|
Jin G, Rich J, Xia J, He AJ, Zhao C, Huang TJ. An acoustofluidic scanning nanoscope using enhanced image stacking and processing. Microsyst Nanoeng 2022; 8:81. [PMID: 35846176 PMCID: PMC9279327 DOI: 10.1038/s41378-022-00401-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 04/07/2022] [Accepted: 05/02/2022] [Indexed: 06/15/2023]
Abstract
Nanoscale optical resolution with a large field of view is a critical feature for many research and industry areas, such as semiconductor fabrication, biomedical imaging, and nanoscale material identification. Several scanning microscopes have been developed to resolve the inverse relationship between the resolution and field of view; however, those scanning microscopes still rely upon fluorescence labeling and complex optical systems. To overcome these limitations, we developed a dual-camera acoustofluidic nanoscope with a seamless image merging algorithm (alpha-blending process). This design allows us to precisely image both the sample and the microspheres simultaneously and accurately track the particle path and location. Therefore, the number of images required to capture the entire field of view (200 × 200 μm) by using our acoustofluidic scanning nanoscope is reduced by 55-fold compared with previous designs. Moreover, the image quality is also greatly improved by applying an alpha-blending imaging technique, which is critical for accurately depicting and identifying nanoscale objects or processes. This dual-camera acoustofluidic nanoscope paves the way for enhanced nanoimaging with high resolution and a large field of view.
Collapse
Affiliation(s)
- Geonsoo Jin
- Thomas Lord Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708 USA
| | - Joseph Rich
- Department of Biomedical Engineering, Duke University, Durham, NC 27708 USA
| | - Jianping Xia
- Thomas Lord Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708 USA
| | - Albert J. He
- Thomas Lord Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708 USA
| | - Chenglong Zhao
- Department of Physics, University of Dayton, 300 College Park, Dayton, OH 45469 USA
- Department of Electro-Optics and Photonics, University of Dayton, 300 College Park, Dayton, OH 45469 USA
| | - Tony Jun Huang
- Thomas Lord Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708 USA
| |
Collapse
|
16
|
Yang S, Tian Z, Wang Z, Rufo J, Li P, Mai J, Xia J, Bachman H, Huang PH, Wu M, Chen C, Lee LP, Huang TJ. Harmonic acoustics for dynamic and selective particle manipulation. Nat Mater 2022; 21:540-546. [PMID: 35332292 PMCID: PMC9200603 DOI: 10.1038/s41563-022-01210-8] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 01/24/2022] [Indexed: 05/07/2023]
Abstract
Precise and selective manipulation of colloids and biological cells has long been motivated by applications in materials science, physics and the life sciences. Here we introduce our harmonic acoustics for a non-contact, dynamic, selective (HANDS) particle manipulation platform, which enables the reversible assembly of colloidal crystals or cells via the modulation of acoustic trapping positions with subwavelength resolution. We compose Fourier-synthesized harmonic waves to create soft acoustic lattices and colloidal crystals without using surface treatment or modifying their material properties. We have achieved active control of the lattice constant to dynamically modulate the interparticle distance in a high-throughput (>100 pairs), precise, selective and reversible manner. Furthermore, we apply this HANDS platform to quantify the intercellular adhesion forces among various cancer cell lines. Our biocompatible HANDS platform provides a highly versatile particle manipulation method that can handle soft matter and measure the interaction forces between living cells with high sensitivity.
Collapse
Affiliation(s)
- Shujie Yang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, USA
| | - Zhenhua Tian
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, USA
| | - Zeyu Wang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, USA
| | - Joseph Rufo
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, USA
| | - Peng Li
- C. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, WV, USA
| | - John Mai
- Alfred E. Mann Institute for Biomedical Engineering, University of Southern California, Los Angeles, CA, USA
| | - Jianping Xia
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, USA
| | - Hunter Bachman
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, USA
| | - Po-Hsun Huang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, USA
| | - Mengxi Wu
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, USA
| | - Chuyi Chen
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, USA
| | - Luke P Lee
- Renal Division and Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- Department of Bioengineering, Department of Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, CA, USA.
- Institute of Quantum Biophysics, Department of Biophysics, Sungkyunkwan University, Suwon, Korea.
| | - Tony Jun Huang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, USA.
| |
Collapse
|
17
|
Liu P, Tian Z, Yang K, Naquin TD, Hao N, Huang H, Chen J, Ma Q, Bachman H, Zhang P, Xu X, Hu J, Huang TJ. Acoustofluidic black holes for multifunctional in-droplet particle manipulation. Sci Adv 2022; 8:eabm2592. [PMID: 35363512 PMCID: PMC10938576 DOI: 10.1126/sciadv.abm2592] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 02/10/2022] [Indexed: 06/14/2023]
Abstract
Acoustic black holes offer superior capabilities for slowing down and trapping acoustic waves for various applications such as metastructures, energy harvesting, and vibration and noise control. However, no studies have considered the linear and nonlinear effects of acoustic black holes on micro/nanoparticles in fluids. This study presents acoustofluidic black holes (AFBHs) that leverage controlled interactions between AFBH-trapped acoustic wave energy and particles in droplets to enable versatile particle manipulation functionalities, such as translation, concentration, and patterning of particles. We investigated the AFBH-enabled wave energy trapping and wavelength shrinking effects, as well as the trapped wave energy-induced acoustic radiation forces on particles and acoustic streaming in droplets. This study not only fills the gap between the emerging fields of acoustofluidics and acoustic black holes but also leads to a class of AFBH-based in-droplet particle manipulation toolsets with great potential for many applications, such as biosensing, point-of-care testing, and drug screening.
Collapse
Affiliation(s)
- Pengzhan Liu
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
- State Key Lab of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
| | - Zhenhua Tian
- Department of Aerospace Engineering, Mississippi State University, Mississippi State, MS 39762, USA
| | - Kaichun Yang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Ty Downing Naquin
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Nanjing Hao
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Huiyu Huang
- State Key Lab of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
| | - Jinyan Chen
- State Key Lab of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
| | - Qiuxia Ma
- State Key Lab of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
| | - Hunter Bachman
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Peiran Zhang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Xiahong Xu
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products; Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Junhui Hu
- State Key Lab of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
| | - Tony Jun Huang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| |
Collapse
|
18
|
Zhao Z, Xia J, Huang TJ, Zou J. Ring-shaped photoacoustic tweezers for single particle manipulation. Opt Lett 2022; 47:826-829. [PMID: 35167535 PMCID: PMC9172997 DOI: 10.1364/ol.447861] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 01/05/2022] [Indexed: 05/31/2023]
Abstract
This Letter reports ring-shaped photoacoustic (PA) tweezers that are capable of manipulating single or multiple micron-sized particles. By illuminating a thin layer of an optically absorptive liquid medium with a focused annular pulsed laser beam and a higher pulse repetition rate (e.g., 800 Hz), both acoustic radiation force and instantaneous vaporization repulsion are generated within a certain distance of the illumination region. This makes it possible to conduct continuous and versatile locomotion of single or multiple microparticles. In this Letter, interactions between two or more particles are demonstrated, such as separation, attachment, and grouping of microparticles. The PA tweezers combine some of the advantages of conventional optical and acoustic tweezers and are expected to be a useful alternative approach for the manipulation of microscale objects.
Collapse
Affiliation(s)
- Zijie Zhao
- Department of Electrical & Computer Engineering, Texas A&M University, College Station, Texas 77845, USA
| | - Jianping Xia
- Department of Mechanical Engineering & Materials Science, Duke University, Durham, North Carolina 27708, USA
| | - Tony Jun Huang
- Department of Mechanical Engineering & Materials Science, Duke University, Durham, North Carolina 27708, USA
| | - Jun Zou
- Department of Electrical & Computer Engineering, Texas A&M University, College Station, Texas 77845, USA
| |
Collapse
|
19
|
Xie Y, Becker R, Scott M, Bean K, Huang TJ. Addressing the global challenges of COVID-19 and other pulmonary diseases with microfluidic technology. Engineering (Beijing) 2022; 24:S2095-8099(22)00015-7. [PMID: 35103108 PMCID: PMC8791846 DOI: 10.1016/j.eng.2022.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 12/08/2021] [Accepted: 01/12/2022] [Indexed: 06/14/2023]
Abstract
COVID-19, an infectious pulmonary disease caused by the SARS-CoV-2 virus, has profoundly impacted the world, motivating researchers across a broad spectrum of academic disciplines to gain a deeper understanding and develop effective therapies to this disease. This article presents an engineering perspective on how microfluidic technologies may address some of the challenges presented by COVID-19 and other pulmonary diseases. In particular, this article highlights urgent needs in pulmonary medicine, with an emphasis on technological innovations in the microfluidic manipulation of particles and fluids, and how these innovations may contribute to the study, diagnosis, and therapy of pulmonary diseases.
Collapse
Affiliation(s)
- Yuliang Xie
- Roy J. Carver Department of Biomedical Engineering, College of Engineering, University of Iowa, Iowa City, IA, 52242, United States
| | - Ryan Becker
- Department of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, 27710, United States
| | - Michael Scott
- Roy J. Carver Department of Biomedical Engineering, College of Engineering, University of Iowa, Iowa City, IA, 52242, United States
| | - Kayla Bean
- Roy J. Carver Department of Biomedical Engineering, College of Engineering, University of Iowa, Iowa City, IA, 52242, United States
| | - Tony Jun Huang
- Department of Mechanical Engineering and Materials Science, Pratt School of Engineering, Duke University, Durham, NC, 27710, United States
| |
Collapse
|
20
|
Hao N, Wang Z, Liu P, Becker R, Yang S, Yang K, Pei Z, Zhang P, Xia J, Shen L, Wang L, Welsh-Bohmer KA, Sanders L, Lee LP, Huang TJ. Acoustofluidic multimodal diagnostic system for Alzheimer's disease. Biosens Bioelectron 2022; 196:113730. [PMID: 34736099 PMCID: PMC8643320 DOI: 10.1016/j.bios.2021.113730] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 10/13/2021] [Accepted: 10/23/2021] [Indexed: 02/08/2023]
Abstract
Alzheimer's disease (AD) is a progressive and irreversible neurodegenerative brain disorder that affects tens of millions of older adults worldwide and has significant economic and societal impacts. Despite its prevalence and severity, early diagnosis of AD remains a considerable challenge. Here we report an integrated acoustofluidics-based diagnostic system (ADx), which combines triple functions of acoustics, microfluidics, and orthogonal biosensors for clinically accurate, sensitive, and rapid detection of AD biomarkers from human plasma. We design and fabricate a surface acoustic wave-based acoustofluidic separation device to isolate and purify AD biomarkers to increase the signal-to-noise ratio. Multimodal biosensors within the integrated ADx are fabricated by in-situ patterning of the ZnO nanorod array and deposition of Ag nanoparticles onto the ZnO nanorods for surface-enhanced Raman scattering (SERS) and electrochemical immunosensors. We obtain the label-free detections of SERS and electrochemical immunoassay of clinical plasma samples from AD patients and healthy controls with high sensitivity and specificity. We believe that this efficient integration provides promising solutions for the early diagnosis of AD.
Collapse
Affiliation(s)
- Nanjing Hao
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Zeyu Wang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Pengzhan Liu
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Ryan Becker
- Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA
| | - Shujie Yang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Kaichun Yang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Zhichao Pei
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Peiran Zhang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Jianping Xia
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Liang Shen
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Lin Wang
- Ascent Bio-Nano Technologies, Inc., Morrisville, NC, 27560, USA
| | | | - Laurie Sanders
- Department of Neurology, Duke University Medical Center, Durham, NC, 27710, USA
| | - Luke P Lee
- Renal Division and Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA; Department of Bioengineering, Department of Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, CA, 94720, USA; Institute of Quantum Biophysics, Department of Biophysics, Sungkyunkwan University, Suwon, 16419, South Korea
| | - Tony Jun Huang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA.
| |
Collapse
|
21
|
Abstract
A surge of research in intracellular delivery technologies is underway with the increased innovations in cell-based therapies and cell reprogramming. Particularly, physical cell membrane permeabilization techniques are highlighted as the leading technologies because of their unique features, including versatility, independence of cargo properties, and high-throughput delivery that is critical for providing the desired cell quantity for cell-based therapies. Amongst the physical permeabilization methods, sonoporation holds great promise and has been demonstrated for delivering a variety of functional cargos, such as biomolecular drugs, proteins, and plasmids, to various cells including cancer, immune, and stem cells. However, traditional bubble-based sonoporation methods usually require special contrast agents. Bubble-based sonoporation methods also have high chances of inducing irreversible damage to critical cell components, lowering the cell viability, and reducing the effectiveness of delivered cargos. To overcome these limitations, several novel non-bubble-based sonoporation mechanisms are under development. This review will cover both the bubble-based and non-bubble-based sonoporation mechanisms being employed for intracellular delivery, the technologies being investigated to overcome the limitations of traditional platforms, as well as perspectives on the future sonoporation mechanisms, technologies, and applications.
Collapse
Affiliation(s)
- Joseph Rich
- Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA
| | - Zhenhua Tian
- Department of Aerospace Engineering, Mississippi State University, Mississippi State, MS, 39762, USA
| | - Tony Jun Huang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| |
Collapse
|
22
|
Wang Z, Rich J, Hao N, Gu Y, Chen C, Yang S, Zhang P, Huang TJ. Acoustofluidics for simultaneous nanoparticle-based drug loading and exosome encapsulation. Microsyst Nanoeng 2022; 8:45. [PMID: 35498337 PMCID: PMC9051122 DOI: 10.1038/s41378-022-00374-2] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Revised: 02/15/2022] [Accepted: 03/07/2022] [Indexed: 05/08/2023]
Abstract
Nanocarrier and exosome encapsulation has been found to significantly increase the efficacy of targeted drug delivery while also minimizing unwanted side effects. However, the development of exosome-encapsulated drug nanocarriers is limited by low drug loading efficiencies and/or complex, time-consuming drug loading processes. Herein, we have developed an acoustofluidic device that simultaneously performs both drug loading and exosome encapsulation. By synergistically leveraging the acoustic radiation force, acoustic microstreaming, and shear stresses in a rotating droplet, the concentration, and fusion of exosomes, drugs, and porous silica nanoparticles is achieved. The final product consists of drug-loaded silica nanocarriers that are encased within an exosomal membrane. The drug loading efficiency is significantly improved, with nearly 30% of the free drug (e.g., doxorubicin) molecules loaded into the nanocarriers. Furthermore, this acoustofluidic drug loading system circumvents the need for complex chemical modification, allowing drug loading and encapsulation to be completed within a matter of minutes. These exosome-encapsulated nanocarriers exhibit excellent efficiency in intracellular transport and are capable of significantly inhibiting tumor cell proliferation. By utilizing physical forces to rapidly generate hybrid nanocarriers, this acoustofluidic drug loading platform wields the potential to significantly impact innovation in both drug delivery research and applications.
Collapse
Affiliation(s)
- Zeyu Wang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708 USA
| | - Joseph Rich
- Department of Biomedical Engineering, Duke University, Durham, NC 27708 USA
| | - Nanjing Hao
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708 USA
| | - Yuyang Gu
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708 USA
| | - Chuyi Chen
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708 USA
| | - Shujie Yang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708 USA
| | - Peiran Zhang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708 USA
| | - Tony Jun Huang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708 USA
| |
Collapse
|
23
|
He Y, Li K, Yang X, Leng J, Xu K, Yuan Z, Lin C, Tao B, Li X, Hu J, Dai L, Becker R, Huang TJ, Cai K. Calcium Peroxide Nanoparticles-Embedded Coatings on Anti-Inflammatory TiO 2 Nanotubes for Bacteria Elimination and Inflammatory Environment Amelioration. Small 2021; 17:e2102907. [PMID: 34665526 DOI: 10.1002/smll.202102907] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 08/06/2021] [Indexed: 06/13/2023]
Abstract
Implant-associated bacterial infections significantly impair the integration between titanium and soft tissues. Traditional antibacterial modifications of titanium implants are able to eliminate bacteria, but the resulting pro-inflammatory reactions are usually ignored, which still poses potential risks to human bodies. Here, a dual drug-loading system on titanium has been developed via the adhesion of a catechol motif-modified methacrylated gelatin hydrogel onto TiO2 nanotubes. Then synthesized CaO2 nanoparticles (NPs) are embedded into the hydrogel, and interleukin-4 (IL-4) is loaded into the nanotubes to achieve both antibacterial and anti-inflammatory properties. The dual drug-loading system can eliminate Staphylococcus aureus (S. aureus) rapidly, attributed to the H2 O2 release from CaO2 NPs. The potential cytotoxicity of CaO2 NPs is also remarkably reduced after being embedded into the hydrogel. More importantly, with the gradual release of IL-4, the dual drug-loading system is capable of modulating pro-inflammatory reactions by inducing M2 phenotype polarization of macrophages. In a subcutaneous infection model, the S. aureus contamination is effectively resolved after 2 days, and the resulting pro-inflammatory reactions are also inhibited after 7 days. Finally, the damaged tissue is significantly recovered. Taken together, the dual drug-loading system exhibits great therapeutic potential in effectively killing pathogens and inhibiting the resulting pro-inflammatory reactions.
Collapse
Affiliation(s)
- Ye He
- Key Laboratory of Biorheological Science and Technology, Ministry of Education College of Bioengineering, Chongqing University, Chongqing, 400044, China
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Ke Li
- Key Laboratory of Biorheological Science and Technology, Ministry of Education College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Xin Yang
- Key Laboratory of Biorheological Science and Technology, Ministry of Education College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Jin Leng
- Key Laboratory of Biorheological Science and Technology, Ministry of Education College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Kun Xu
- Key Laboratory of Biorheological Science and Technology, Ministry of Education College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Zhang Yuan
- Institute of Medical Research, Northwestern Polytechnical University, Xi'an, 710072, China
| | - Chuanchuan Lin
- Key Laboratory of Biorheological Science and Technology, Ministry of Education College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Bailong Tao
- Key Laboratory of Biorheological Science and Technology, Ministry of Education College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Xuan Li
- Key Laboratory of Biorheological Science and Technology, Ministry of Education College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Jingwei Hu
- Key Laboratory of Biorheological Science and Technology, Ministry of Education College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Liangliang Dai
- Institute of Medical Research, Northwestern Polytechnical University, Xi'an, 710072, China
| | - Ryan Becker
- Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA
| | - Tony Jun Huang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Kaiyong Cai
- Key Laboratory of Biorheological Science and Technology, Ministry of Education College of Bioengineering, Chongqing University, Chongqing, 400044, China
| |
Collapse
|
24
|
Zhong R, Yang S, Ugolini GS, Naquin T, Zhang J, Yang K, Xia J, Konry T, Huang TJ. Acoustofluidic Droplet Sorter Based on Single Phase Focused Transducers. Small 2021; 17:e2103848. [PMID: 34658129 PMCID: PMC8686687 DOI: 10.1002/smll.202103848] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 08/20/2021] [Indexed: 05/13/2023]
Abstract
Droplet microfluidics has revolutionized the biomedical and drug development fields by allowing for independent microenvironments to conduct drug screening at the single cell level. However, current microfluidic sorting devices suffer from drawbacks such as high voltage requirements (e.g., >200 Vpp), low biocompatibility, and/or low throughput. In this article, a single-phase focused transducer (SPFT)-based acoustofluidic chip is introduced, which outperforms many microfluidic droplet sorting devices through high energy transmission efficiency, high accuracy, and high biocompatibility. The SPFT-based sorter can be driven with an input power lower than 20 Vpp and maintain a postsorting cell viability of 93.5%. The SPFT sorter can achieve a throughput over 1000 events per second and a sorting purity up to 99.2%. The SPFT sorter is utilized here for the screening of doxorubicin cytotoxicity on cancer and noncancer cells, proving its drug screening capability. Overall, the SPFT droplet sorting device shows great potential for fast, precise, and biocompatible drug screening.
Collapse
Affiliation(s)
- Ruoyu Zhong
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Shujie Yang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Giovanni Stefano Ugolini
- Department of Pharmaceutical Sciences, Faculty, School of Pharmacy, Northeastern University, Palo Alto, CA, 94301, USA
| | - Ty Naquin
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Jinxin Zhang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Kaichun Yang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Jianping Xia
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Tania Konry
- Department of Pharmaceutical Sciences, Faculty, School of Pharmacy, Northeastern University, Palo Alto, CA, 94301, USA
| | - Tony Jun Huang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| |
Collapse
|
25
|
He Y, Leng J, Li K, Xu K, Lin C, Yuan Z, Zhang R, Wang D, Tao B, Huang TJ, Cai K. A multifunctional hydrogel coating to direct fibroblast activation and infected wound healing via simultaneously controllable photobiomodulation and photodynamic therapies. Biomaterials 2021; 278:121164. [PMID: 34601196 DOI: 10.1016/j.biomaterials.2021.121164] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 09/09/2021] [Accepted: 09/28/2021] [Indexed: 12/31/2022]
Abstract
Bacterial infection treatment and subsequent tissue rebuilding are the main tasks of biomaterial research. To endow implants with antibacterial activity and biological functions, the material systems are usually very complicated and ineffective. Recently, the concept of photobiomodulation (PBM), or low-level laser therapy (LLLT), has attracted increasing attention in tissue repair applications but still has not obtained wide acceptance. Because of the same laser resource, PBM could simultaneously work with 660 nm laser triggered photodynamic therapy (PDT), which will significantly simplify the material system and achieve the multiple functions of antibacterial activity and biological modulation effects. Herein, we attempt to validate the effectiveness of PBM and combine PBM with a PDT-based material system. A catechol motif-modified methacrylated gelatin containing photosensitizer Chlorin e6-loaded mesoporous polydopamine nanoparticles was fabricated (GelMAc/MPDA@Ce6). This hydrogel could be tightly adhered to titanium surfaces to serve as surface coating materials or directly used as dressings. Because of the 660 nm laser-triggered ROS generation property of Ce6, GelMAc/MPDA@Ce6 exhibited a remarkable and rapid antibacterial activity when the laser power was 1 W cm-2. After bacterial elimination, when the power was adjusted to 100 mW cm-2, daily irradiation brought an excellent PBM effect: the fibroblast activation was realized to accelerate wound repair. According to our in vitro and in vivo results, the fabricated hydrogel coating possessed both antibacterial activity and fibroblast activation ability only by adjusting the power of laser irradiation, which will greatly strengthen the confidence of using PBM in broader fields and give a good example to combine PBM with traditional biomaterial design.
Collapse
Affiliation(s)
- Ye He
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400044, China; Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Jin Leng
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Ke Li
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Kun Xu
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Chuanchuan Lin
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Zhang Yuan
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Rui Zhang
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Danyang Wang
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Bailong Tao
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Tony Jun Huang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Kaiyong Cai
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400044, China; Chongqing Key Laboratory of Soft-Matter Material Chemistry and Function Manufacturing, Southwest University, Chongqing, 400715, China.
| |
Collapse
|
26
|
Li J, Shen C, Huang TJ, Cummer SA. Acoustic tweezer with complex boundary-free trapping and transport channel controlled by shadow waveguides. Sci Adv 2021; 7:7/34/eabi5502. [PMID: 34407929 PMCID: PMC8373113 DOI: 10.1126/sciadv.abi5502] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 06/28/2021] [Indexed: 06/13/2023]
Abstract
Acoustic tweezers use ultrasound for contact-free, bio-compatible, and precise manipulation of particles from millimeter to submicrometer scale. In microfluidics, acoustic tweezers typically use an array of sources to create standing wave patterns that can trap and move objects in ways constrained by the limited complexity of the acoustic wave field. Here, we demonstrate spatially complex particle trapping and manipulation inside a boundary-free chamber using a single pair of sources and an engineered structure outside the chamber that we call a shadow waveguide. The shadow waveguide creates a tightly confined, spatially complex acoustic field inside the chamber without requiring any interior structure that would interfere with net flow or transport. Altering the input signals to the two sources creates trapped particle motion along an arbitrary path defined by the shadow waveguide. Particle trapping, particle manipulation and transport, and Thouless pumping are experimentally demonstrated.
Collapse
Affiliation(s)
- Junfei Li
- Department of Electrical and Computer Engineering, Duke University, Durham, NC 27708, USA
| | - Chen Shen
- Department of Electrical and Computer Engineering, Duke University, Durham, NC 27708, USA
- Department of Mechanical Engineering, Rowan University, Glassboro, NJ 08028, USA
| | - Tony Jun Huang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Steven A Cummer
- Department of Electrical and Computer Engineering, Duke University, Durham, NC 27708, USA.
| |
Collapse
|
27
|
Zhang P, Rufo J, Chen C, Xia J, Tian Z, Zhang L, Hao N, Zhong Z, Gu Y, Chakrabarty K, Huang TJ. Acoustoelectronic nanotweezers enable dynamic and large-scale control of nanomaterials. Nat Commun 2021; 12:3844. [PMID: 34158489 PMCID: PMC8219664 DOI: 10.1038/s41467-021-24101-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Accepted: 05/04/2021] [Indexed: 11/25/2022] Open
Abstract
The ability to precisely manipulate nano-objects on a large scale can enable the fabrication of materials and devices with tunable optical, electromagnetic, and mechanical properties. However, the dynamic, parallel manipulation of nanoscale colloids and materials remains a significant challenge. Here, we demonstrate acoustoelectronic nanotweezers, which combine the precision and robustness afforded by electronic tweezers with versatility and large-field dynamic control granted by acoustic tweezing techniques, to enable the massively parallel manipulation of sub-100 nm objects with excellent versatility and controllability. Using this approach, we demonstrated the complex patterning of various nanoparticles (e.g., DNAs, exosomes, ~3 nm graphene flakes, ~6 nm quantum dots, ~3.5 nm proteins, and ~1.4 nm dextran), fabricated macroscopic materials with nano-textures, and performed high-resolution, single nanoparticle manipulation. Various nanomanipulation functions, including transportation, concentration, orientation, pattern-overlaying, and sorting, have also been achieved using a simple device configuration. Altogether, acoustoelectronic nanotweezers overcome existing limitations in nano-manipulation and hold great potential for a variety of applications in the fields of electronics, optics, condensed matter physics, metamaterials, and biomedicine. Precise and dynamic manipulation of nano-objects on a large scale has been challenging. Here, the authors introduce acoustoelectronic nanotweezers, combining precision of electronic tweezers with large-field dynamic control of acoustic tweezers, demonstrating complex patterning of sub-100 nm objects.
Collapse
Affiliation(s)
- Peiran Zhang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, USA
| | - Joseph Rufo
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, USA
| | - Chuyi Chen
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, USA
| | - Jianping Xia
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, USA
| | - Zhenhua Tian
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, USA
| | - Liying Zhang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, USA
| | - Nanjing Hao
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, USA
| | - Zhanwei Zhong
- Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA
| | - Yuyang Gu
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, USA
| | | | - Tony Jun Huang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, USA.
| |
Collapse
|
28
|
Zhao S, Huang PH, Zhang H, Rich J, Bachman H, Ye J, Zhang W, Chen C, Xie Z, Tian Z, Kang P, Fu H, Huang TJ. Fabrication of tunable, high-molecular-weight polymeric nanoparticles via ultrafast acoustofluidic micromixing. Lab Chip 2021; 21:2453-2463. [PMID: 33978043 PMCID: PMC8213440 DOI: 10.1039/d1lc00265a] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
High-molecular-weight polymeric nanoparticles are critical to increasing the loading efficacy and tuning the release profile of targeted molecules for medical diagnosis, imaging, and therapeutics. Although a number of microfluidic approaches have attained reproducible nanoparticle synthesis, it is still challenging to fabricate nanoparticles from high-molecular-weight polymers in a size and structure-controlled manner. In this work, an acoustofluidic platform is developed to synthesize size-tunable, high-molecular-weight (>45 kDa) poly(lactic-co-glycolic acid)-b-poly(ethylene glycol) (PLGA-PEG) nanoparticles without polymer aggregation by exploiting the characteristics of complete and ultrafast mixing. Moreover, the acoustofluidic approach achieves two features that have not been achieved by existing microfluidic approaches: (1) multi-step (≥2) sequential nanoprecipitation in a single device, and (2) synthesis of core-shell structured PLGA-PEG/lipid nanoparticles with high molecular weights. The developed platform expands microfluidic potential in nanomaterial synthesis, where high-molecular-weight polymers, multiple reagents, or sequential nanoprecipitations are needed.
Collapse
Affiliation(s)
- Shuaiguo Zhao
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
| | - Po-Hsun Huang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
| | - Heying Zhang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
| | - Joseph Rich
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Hunter Bachman
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
| | - Jennifer Ye
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
| | - Wenfen Zhang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
| | - Chuyi Chen
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
| | - Zhemiao Xie
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
| | - Zhenhua Tian
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
| | - Putong Kang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
| | - Hai Fu
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
| | - Tony Jun Huang
- Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
| |
Collapse
|
29
|
Leng J, He Y, Yuan Z, Tao B, Li K, Lin C, Xu K, Chen M, Dai L, Li X, Huang TJ, Cai K. Enzymatically-degradable hydrogel coatings on titanium for bacterial infection inhibition and enhanced soft tissue compatibility via a self-adaptive strategy. Bioact Mater 2021; 6:4670-4685. [PMID: 34095624 PMCID: PMC8164017 DOI: 10.1016/j.bioactmat.2021.05.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2021] [Revised: 05/02/2021] [Accepted: 05/02/2021] [Indexed: 12/24/2022] Open
Abstract
Ideal percutaneous titanium implants request both antibacterial ability and soft tissue compatibility. ZnO structure constructed on titanium has been widely proved to be helpful to combat pathogen contamination, but the biosafety of ZnO is always questioned. How to maintain the remarkable antibacterial ability of ZnO and efficiently reduce the corresponding toxicity is still challenging. Herein, a hybrid hydrogel coating was constructed on the fabricated ZnO structure of titanium, and the coating was proved to be enzymatically-degradable when bacteria exist. Then the antibacterial activity of ZnO was presented. When under the normal condition (no bacteria), the hydrogel coating was stable and tightly adhered to titanium. The toxicity of ZnO was reduced, and the viability of fibroblasts was largely improved. More importantly, the hydrogel coating provided a good buffer zone for cell ingrowth and soft tissue integration. The curbed Zn ion release was also proved to be useful to regulate fibroblast responses such as the expression of CTGF and COL-I. These results were also validated by in vivo studies. Therefore, this study proposed a valid self-adaptive strategy for ZnO improvement. Under different conditions, the sample could present different functions, and both the antibacterial ability and soft tissue compatibility were finely preserved. Enzymatically-degradable hydrogel coatings are prepared on the ZnO structure of titanium. The degradation of the hydrogel coating is accelerated when S. aureus exists and the remarkable antibacterial activity of ZnO is presented. The hydrogel coating is stable and tightly adhered on ZnO when no bacteria exists and the toxicity of ZnO is largely reduced. The fibroblast responses and soft tissue compatibility are improved.
Collapse
Affiliation(s)
- Jin Leng
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Ye He
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400044, China.,Thomas Lord Department of Mechanical Engineering & Materials Science, Duke University, Durham, NC, 27708, USA
| | - Zhang Yuan
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Bailong Tao
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Ke Li
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Chuanchuan Lin
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Kun Xu
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Maowen Chen
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Liangliang Dai
- Institute of Medical Research, Northwestern Polytechnical University, Xi'an 710072, China
| | - Xuemin Li
- Innovative Drug Research Centre, School of Pharmaceutical Sciences, Chongqing University, Chongqing, 401331, China
| | - Tony Jun Huang
- Thomas Lord Department of Mechanical Engineering & Materials Science, Duke University, Durham, NC, 27708, USA
| | - Kaiyong Cai
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400044, China.,Chongqing Key Laboratory of Soft-Matter Material Chemistry and Function Manufacturing, Southwest University, Chongqing, 400715, China
| |
Collapse
|
30
|
Chen C, Gu Y, Philippe J, Zhang P, Bachman H, Zhang J, Mai J, Rufo J, Rawls JF, Davis EE, Katsanis N, Huang TJ. Acoustofluidic rotational tweezing enables high-speed contactless morphological phenotyping of zebrafish larvae. Nat Commun 2021; 12:1118. [PMID: 33602914 PMCID: PMC7892888 DOI: 10.1038/s41467-021-21373-3] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 01/08/2021] [Indexed: 01/31/2023] Open
Abstract
Modern biomedical research and preclinical pharmaceutical development rely heavily on the phenotyping of small vertebrate models for various diseases prior to human testing. In this article, we demonstrate an acoustofluidic rotational tweezing platform that enables contactless, high-speed, 3D multispectral imaging and digital reconstruction of zebrafish larvae for quantitative phenotypic analysis. The acoustic-induced polarized vortex streaming achieves contactless and rapid (~1 s/rotation) rotation of zebrafish larvae. This enables multispectral imaging of the zebrafish body and internal organs from different viewing perspectives. Moreover, we develop a 3D reconstruction pipeline that yields accurate 3D models based on the multi-view images for quantitative evaluation of basic morphological characteristics and advanced combinations of metrics. With its contactless nature and advantages in speed and automation, our acoustofluidic rotational tweezing system has the potential to be a valuable asset in numerous fields, especially for developmental biology, small molecule screening in biochemistry, and pre-clinical drug development in pharmacology.
Collapse
Affiliation(s)
- Chuyi Chen
- grid.26009.3d0000 0004 1936 7961Department of Mechanical Engineering and Material Science, Duke University, Durham, NC USA
| | - Yuyang Gu
- grid.26009.3d0000 0004 1936 7961Department of Mechanical Engineering and Material Science, Duke University, Durham, NC USA
| | - Julien Philippe
- grid.189509.c0000000100241216Center for Human Disease Modeling, Duke University Medical Center, Durham, NC USA
| | - Peiran Zhang
- grid.26009.3d0000 0004 1936 7961Department of Mechanical Engineering and Material Science, Duke University, Durham, NC USA
| | - Hunter Bachman
- grid.26009.3d0000 0004 1936 7961Department of Mechanical Engineering and Material Science, Duke University, Durham, NC USA
| | - Jinxin Zhang
- grid.26009.3d0000 0004 1936 7961Department of Mechanical Engineering and Material Science, Duke University, Durham, NC USA
| | - John Mai
- grid.42505.360000 0001 2156 6853Alfred E. Mann Institute for Biomedical Engineering, University of Southern California, Los Angeles, CA USA
| | - Joseph Rufo
- grid.26009.3d0000 0004 1936 7961Department of Mechanical Engineering and Material Science, Duke University, Durham, NC USA
| | - John F. Rawls
- grid.26009.3d0000 0004 1936 7961Department of Molecular Genetics and Microbiology, Duke University, Durham, NC USA
| | - Erica E. Davis
- grid.189509.c0000000100241216Center for Human Disease Modeling, Duke University Medical Center, Durham, NC USA ,grid.413808.60000 0004 0388 2248Advanced Center for Translational and Genetic Medicine (ACT-GeM), Stanley Manne Children’s Research Institute, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL USA ,grid.16753.360000 0001 2299 3507Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, IL USA
| | - Nicholas Katsanis
- grid.189509.c0000000100241216Center for Human Disease Modeling, Duke University Medical Center, Durham, NC USA ,grid.413808.60000 0004 0388 2248Advanced Center for Translational and Genetic Medicine (ACT-GeM), Stanley Manne Children’s Research Institute, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL USA ,grid.16753.360000 0001 2299 3507Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, IL USA
| | - Tony Jun Huang
- grid.26009.3d0000 0004 1936 7961Department of Mechanical Engineering and Material Science, Duke University, Durham, NC USA
| |
Collapse
|
31
|
Gu Y, Chen C, Mao Z, Bachman H, Becker R, Rufo J, Wang Z, Zhang P, Mai J, Yang S, Zhang J, Zhao S, Ouyang Y, Wong DTW, Sadovsky Y, Huang TJ. Acoustofluidic centrifuge for nanoparticle enrichment and separation. Sci Adv 2021; 7:7/1/eabc0467. [PMID: 33523836 PMCID: PMC7775782 DOI: 10.1126/sciadv.abc0467] [Citation(s) in RCA: 74] [Impact Index Per Article: 24.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Accepted: 11/05/2020] [Indexed: 05/19/2023]
Abstract
Liquid droplets have been studied for decades and have recently experienced renewed attention as a simplified model for numerous fascinating physical phenomena occurring on size scales from the cell nucleus to stellar black holes. Here, we present an acoustofluidic centrifugation technique that leverages an entanglement of acoustic wave actuation and the spin of a fluidic droplet to enable nanoparticle enrichment and separation. By combining acoustic streaming and droplet spinning, rapid (<1 min) nanoparticle concentration and size-based separation are achieved with a resolution sufficient to identify and isolate exosome subpopulations. The underlying physical mechanisms have been characterized both numerically and experimentally, and the ability to process biological samples (including DNA segments and exosome subpopulations) has been successfully demonstrated. Together, this acoustofluidic centrifuge overcomes existing limitations in the manipulation of nanoscale (<100 nm) bioparticles and can be valuable for various applications in the fields of biology, chemistry, engineering, material science, and medicine.
Collapse
Affiliation(s)
- Yuyang Gu
- Department of Mechanical Engineering and Materials Science, Duke University, NC 27708, USA
| | - Chuyi Chen
- Department of Mechanical Engineering and Materials Science, Duke University, NC 27708, USA
| | - Zhangming Mao
- Department of Engineering Science and Mechanics, Pennsylvania State University, University Park, PA 16801, USA
| | - Hunter Bachman
- Department of Mechanical Engineering and Materials Science, Duke University, NC 27708, USA
| | - Ryan Becker
- Department of Biomedical Engineering, Duke University, NC 27708, USA
| | - Joseph Rufo
- Department of Mechanical Engineering and Materials Science, Duke University, NC 27708, USA
| | - Zeyu Wang
- Department of Mechanical Engineering and Materials Science, Duke University, NC 27708, USA
| | - Peiran Zhang
- Department of Mechanical Engineering and Materials Science, Duke University, NC 27708, USA
| | - John Mai
- Alfred E. Mann Institute for Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Shujie Yang
- Department of Mechanical Engineering and Materials Science, Duke University, NC 27708, USA
| | - Jinxin Zhang
- Department of Mechanical Engineering and Materials Science, Duke University, NC 27708, USA
| | - Shuaiguo Zhao
- Department of Mechanical Engineering and Materials Science, Duke University, NC 27708, USA
| | - Yingshi Ouyang
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Magee-Womens Research Institute, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - David T W Wong
- School of Dentistry and the Departments of Otolaryngology/Head and Neck Surgery and Pathology, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Yoel Sadovsky
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Magee-Womens Research Institute, University of Pittsburgh, Pittsburgh, PA 15213, USA
- School of Medicine, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Tony Jun Huang
- Department of Mechanical Engineering and Materials Science, Duke University, NC 27708, USA.
| |
Collapse
|
32
|
Zhang W, Tian Z, Yang S, Rich J, Zhao S, Klingeborn M, Huang PH, Li Z, Stout A, Murphy Q, Patz E, Zhang S, Liu G, Huang TJ. Electrochemical micro-aptasensors for exosome detection based on hybridization chain reaction amplification. Microsyst Nanoeng 2021; 7:63. [PMID: 34567775 PMCID: PMC8433316 DOI: 10.1038/s41378-021-00293-8] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 06/21/2021] [Accepted: 06/24/2021] [Indexed: 05/20/2023]
Abstract
Exosomes are cell-derived nanovesicles that have recently gained popularity as potential biomarkers in liquid biopsies due to the large amounts of molecular cargo they carry, such as nucleic acids and proteins. However, most existing exosome-based analytical sensing methods struggle to achieve high sensitivity and high selectivity simultaneously. In this work, we present an electrochemical micro-aptasensor for the highly sensitive detection of exosomes by integrating a micropatterned electrochemical aptasensor and a hybridization chain reaction (HCR) signal amplification method. Specifically, exosomes are enriched on CD63 aptamer-functionalized electrodes and then recognized by HCR products with avidin-horseradish peroxidase (HRP) attached using EpCAM aptamers as bridges. Subsequently, the current signal that is generated through the enzyme reaction between the HRP enzyme and 3,3',5,5'-tetramethylbenzidine (TMB)/H2O2 directly correlates to the amount of bound HRP on the HCR products and thus to the number of target exosomes. By introducing anti-EpCAM aptamers, micro-aptasensors can detect cancerous exosomes with high specificity. Due to the micropatterned electrodes and HCR dual-amplification strategy, the micro-aptasensors achieve a linear detection response for a wide range of exosome concentrations from 2.5×103 to 1×107 exosomes/mL, with a detection limit of 5×102 exosomes/mL. Moreover, our method successfully detects lung cancer exosomes in serum samples of early-stage and late-stage lung cancer patients, showcasing the great potential for early cancer diagnosis.
Collapse
Affiliation(s)
- Wenfen Zhang
- College of Chemistry, Zhengzhou University, Zhengzhou, Henan 450001 People’s Republic of China
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708 USA
| | - Zhenhua Tian
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708 USA
| | - Shujie Yang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708 USA
| | - Joseph Rich
- Department of Biomedical Engineering, Duke University, Durham, NC 27708 USA
| | - Shuaiguo Zhao
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708 USA
| | | | - Po-Hsun Huang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708 USA
| | - Zhishang Li
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, Zhejiang 310058 People’s Republic of China
| | - Alexander Stout
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708 USA
| | - Quinn Murphy
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708 USA
| | - Edward Patz
- Department of Radiology, Duke University, Durham, NC 27708 USA
| | - Shusheng Zhang
- College of Chemistry, Zhengzhou University, Zhengzhou, Henan 450001 People’s Republic of China
| | - Guozhen Liu
- School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Guangdong 518172 China
| | - Tony Jun Huang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708 USA
| |
Collapse
|
33
|
Zhu H, Zhang P, Zhong Z, Xia J, Rich J, Mai J, Su X, Tian Z, Bachman H, Rufo J, Gu Y, Kang P, Chakrabarty K, Witelski TP, Huang TJ. Acoustohydrodynamic tweezers via spatial arrangement of streaming vortices. Sci Adv 2021; 7:7/2/eabc7885. [PMID: 33523965 PMCID: PMC7787489 DOI: 10.1126/sciadv.abc7885] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Accepted: 11/16/2020] [Indexed: 05/06/2023]
Abstract
Acoustics-based tweezers provide a unique toolset for contactless, label-free, and precise manipulation of bioparticles and bioanalytes. Most acoustic tweezers rely on acoustic radiation forces; however, the accompanying acoustic streaming often generates unpredictable effects due to its nonlinear nature and high sensitivity to the three-dimensional boundary conditions. Here, we demonstrate acoustohydrodynamic tweezers, which generate stable, symmetric pairs of vortices to create hydrodynamic traps for object manipulation. These stable vortices enable predictable control of a flow field, which translates into controlled motion of droplets or particles on the operating surface. We built a programmable droplet-handling platform to demonstrate the basic functions of planar-omnidirectional droplet transport, merging droplets, and in situ mixing via a sequential cascade of biochemical reactions. Our acoustohydrodynamic tweezers enables improved control of acoustic streaming and demonstrates a previously unidentified method for contact-free manipulation of bioanalytes and digitalized liquid handling based on a compact and scalable functional unit.
Collapse
Affiliation(s)
- Haodong Zhu
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA
| | - Peiran Zhang
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA
| | - Zhanwei Zhong
- Department of Electrical and Computer Engineering, Duke University, Durham, NC 27708, USA
| | - Jianping Xia
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA
| | - Joseph Rich
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - John Mai
- Alfred E. Mann Institute for Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Xingyu Su
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA
| | - Zhenhua Tian
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA
| | - Hunter Bachman
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA
| | - Joseph Rufo
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA
| | - Yuyang Gu
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA
| | - Putong Kang
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA
| | - Krishnendu Chakrabarty
- Department of Electrical and Computer Engineering, Duke University, Durham, NC 27708, USA
| | | | - Tony Jun Huang
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA.
| |
Collapse
|
34
|
Wang Z, Wang H, Becker R, Rufo J, Yang S, Mace BE, Wu M, Zou J, Laskowitz DT, Huang TJ. Acoustofluidic separation enables early diagnosis of traumatic brain injury based on circulating exosomes. Microsyst Nanoeng 2021; 7:20. [PMID: 34567734 PMCID: PMC8433131 DOI: 10.1038/s41378-021-00244-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Revised: 11/16/2020] [Accepted: 01/10/2021] [Indexed: 05/12/2023]
Abstract
Traumatic brain injury (TBI) is a global cause of morbidity and mortality. Initial management and risk stratification of patients with TBI is made difficult by the relative insensitivity of screening radiographic studies as well as by the absence of a widely available, noninvasive diagnostic biomarker. In particular, a blood-based biomarker assay could provide a quick and minimally invasive process to stratify risk and guide early management strategies in patients with mild TBI (mTBI). Analysis of circulating exosomes allows the potential for rapid and specific identification of tissue injury. By applying acoustofluidic exosome separation-which uses a combination of microfluidics and acoustics to separate bioparticles based on differences in size and acoustic properties-we successfully isolated exosomes from plasma samples obtained from mice after TBI. Acoustofluidic isolation eliminated interference from other blood components, making it possible to detect exosomal biomarkers for TBI via flow cytometry. Flow cytometry analysis indicated that exosomal biomarkers for TBI increase in the first 24 h following head trauma, indicating the potential of using circulating exosomes for the rapid diagnosis of TBI. Elevated levels of TBI biomarkers were only detected in the samples separated via acoustofluidics; no changes were observed in the analysis of the raw plasma sample. This finding demonstrated the necessity of sample purification prior to exosomal biomarker analysis. Since acoustofluidic exosome separation can easily be integrated with downstream analysis methods, it shows great potential for improving early diagnosis and treatment decisions associated with TBI.
Collapse
Affiliation(s)
- Zeyu Wang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708 USA
| | - Haichen Wang
- Department of Neurology, Duke University, Durham, NC 27708 USA
| | - Ryan Becker
- Department of Biomedical Engineering, Duke University, Durham, NC 27708 USA
| | - Joseph Rufo
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708 USA
| | - Shujie Yang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708 USA
| | - Brian E. Mace
- Department of Neurology, Duke University, Durham, NC 27708 USA
- Department of Geriatrics, Duke University, Durham, NC 27708 USA
| | - Mengxi Wu
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708 USA
| | - Jun Zou
- Department of Electrical & Computer Engineering, Texas A&M University, College Station, TX 77840 USA
| | | | - Tony Jun Huang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708 USA
| |
Collapse
|
35
|
Abstract
Over the past decades, nanoparticles have increased in implementation to a variety of applications ranging from high-efficiency electronics to targeted drug delivery. Recently, microfluidic techniques have become an important tool to isolate and enrich populations of nanoparticles with uniform properties (e.g., size, shape, charge) due to their precision, versatility, and scalability. However, due to the large number of microfluidic techniques available, it can be challenging to identify the most suitable approach for isolating or enriching a nanoparticle of interest. In this review article, we survey microfluidic methods for nanoparticle isolation and enrichment based on their underlying mechanisms, including acoustofluidics, dielectrophoresis, filtration, deterministic lateral displacement, inertial microfluidics, optofluidics, electrophoresis, and affinity-based methods. We discuss the principles, applications, advantages, and limitations of each method. We also provide comparisons with bulk methods, perspectives for future developments and commercialization, and next-generation applications in chemistry, biology, and medicine.
Collapse
Affiliation(s)
- Yuliang Xie
- Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa 52242, United States
| | - Joseph Rufo
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, North Carolina 27708, United States
| | - Ruoyu Zhong
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, North Carolina 27708, United States
| | - Joseph Rich
- Department of Biomedical Engineering, Duke University, Durham, North Carolina 27708, United States
| | - Peng Li
- C. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, West Virginia 26506, United States
| | - Kam W Leong
- Department of Biomedical Engineering, Columbia University, New York, New York 10032, United States
| | - Tony Jun Huang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, North Carolina 27708, United States
| |
Collapse
|
36
|
Hao N, Pei Z, Liu P, Bachman H, Naquin TD, Zhang P, Zhang J, Shen L, Yang S, Yang K, Zhao S, Huang TJ. Acoustofluidics-Assisted Fluorescence-SERS Bimodal Biosensors. Small 2020; 16:e2005179. [PMID: 33174375 PMCID: PMC7902458 DOI: 10.1002/smll.202005179] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2020] [Revised: 09/29/2020] [Indexed: 05/23/2023]
Abstract
Acoustofluidics, the fusion of acoustics and microfluidic techniques, has recently seen increased research attention across multiple disciplines due in part to its capabilities in contactless, biocompatible, and precise manipulation of micro-/nano-objects. Herein, a bimodal signal amplification platform which relies on acoustofluidics-induced enrichment of nanoparticles is introduced. The dual-function biosensor can perform sensitive immunofluorescent or surface-enhanced Raman spectroscopy (SERS) detection. The platform functions by using surface acoustic waves to concentrate nanoparticles at either the center or perimeter of a glass capillary; the concentration location is adjusted simply by varying the input frequency. The immunofluorescence assay is achieved by concentrating fluorescent analytes and functionalized nanoparticles at the center of the microchannel, thereby improving the visibility of the fluorescent output. By modifying the inner wall of the glass capillary with plasmonic Ag nanoparticle-deposited ZnO nanorod arrays and focusing analytes toward the perimeter of the microchannel, SERS sensing using the same device setup is achieved. Nanosized exosomes are used as a proof-of-concept to validate the performance of the acoustofluidic bimodal biosensor. With its sample-enrichment functionality, bimodal sensing, short processing time, and minute sample consumption, the acoustofluidic chip holds great potential for the development of lab-on-a-chip based analysis systems in many real-world applications.
Collapse
Affiliation(s)
- Nanjing Hao
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Zhichao Pei
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Pengzhan Liu
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Hunter Bachman
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Ty Downing Naquin
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Peiran Zhang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Jinxin Zhang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Liang Shen
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Shujie Yang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Kaichun Yang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Shuaiguo Zhao
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Tony Jun Huang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| |
Collapse
|
37
|
Gu Y, Chen C, Rufo J, Shen C, Wang Z, Huang PH, Fu H, Zhang P, Cummer SA, Tian Z, Huang TJ. Acoustofluidic Holography for Micro- to Nanoscale Particle Manipulation. ACS Nano 2020; 14:14635-14645. [PMID: 32574491 PMCID: PMC7688555 DOI: 10.1021/acsnano.0c03754] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
Acoustic-based techniques can manipulate particles in a label-free, contact-free, and biocompatible manner. However, most previous work in acoustic manipulation has been constrained by axisymmetric patterns of pressure nodes and antinodes. Acoustic holography is an emerging technique that offers the potential to generate arbitrary pressure distributions which can be applied to particle manipulation with higher degrees of freedom. However, since current acoustic holography techniques rely on acoustic radiation forces, which decrease dramatically when the target particle size decreases, they have difficulty manipulating particles in the micro/nanoscale. Here, we introduce a holography technique that leverages both an arbitrary acoustic field and controllable fluid motion to offer an effective approach for manipulating micro/nano particles. Our approach, termed acoustofluidic holography (AFH), can manipulate a variety of materials, including cells, polymers, and metals, across sizes ranging from hundreds of micrometers to tens of nanometers.
Collapse
Affiliation(s)
- Yuyang Gu
- Department of Mechanical Engineering and Material Science, Duke University, Durham, North Carolina 27707, United States
| | - Chuyi Chen
- Department of Mechanical Engineering and Material Science, Duke University, Durham, North Carolina 27707, United States
| | - Joseph Rufo
- Department of Mechanical Engineering and Material Science, Duke University, Durham, North Carolina 27707, United States
| | - Chen Shen
- Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina 27708, United States
| | - Zeyu Wang
- Department of Mechanical Engineering and Material Science, Duke University, Durham, North Carolina 27707, United States
| | - Po-Hsun Huang
- Department of Mechanical Engineering and Material Science, Duke University, Durham, North Carolina 27707, United States
| | - Hai Fu
- Department of Mechanical Engineering and Material Science, Duke University, Durham, North Carolina 27707, United States
| | - Peiran Zhang
- Department of Mechanical Engineering and Material Science, Duke University, Durham, North Carolina 27707, United States
| | - Steven A Cummer
- Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina 27708, United States
| | - Zhenhua Tian
- Department of Aerospace Engineering, Mississippi State University, Mississippi State, Mississippi 39762, United States
| | - Tony Jun Huang
- Department of Mechanical Engineering and Material Science, Duke University, Durham, North Carolina 27707, United States
| |
Collapse
|
38
|
Zhang P, Wang W, Fu H, Rich J, Su X, Bachman H, Xia J, Zhang J, Zhao S, Zhou J, Huang TJ. Deterministic droplet coding via acoustofluidics. Lab Chip 2020; 20:4466-4473. [PMID: 33103674 PMCID: PMC7688411 DOI: 10.1039/d0lc00538j] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Droplet microfluidics has become an indispensable tool for biomedical research and lab-on-a-chip applications owing to its unprecedented throughput, precision, and cost-effectiveness. Although droplets can be generated and screened in a high-throughput manner, the inability to label the inordinate amounts of droplets hinders identifying the individual droplets after generation. Herein, we demonstrate an acoustofluidic platform that enables on-demand, real-time dispensing, and deterministic coding of droplets based on their volumes. By dynamically splitting the aqueous flow using an oil jet triggered by focused traveling surface acoustic waves, a sequence of droplets with deterministic volumes can be continuously dispensed at a throughput of 100 Hz. These sequences encode barcoding information through the combination of various droplet lengths. As a proof-of-concept, we encoded droplet sequences into end-to-end packages (e.g., a series of 50 droplets), which consisted of an address barcode with binary volumetric combinations and a sample package with consistent volumes for hosting analytes. This acoustofluidics-based, deterministic droplet coding technique enables the tagging of droplets with high capacity and high error-tolerance, and can potentially benefit various applications involving single cell phenotyping and multiplexed screening.
Collapse
Affiliation(s)
- Peiran Zhang
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA
| | - Wei Wang
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA
- ASIC and System State Key Laboratory, School of Microelectronics, Fudan University, Shanghai 200433, P. R. China
| | - Hai Fu
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA
- Department of Fluid Control and Automation, School of Mechanics Engineering, Harbin Institute of Technology, Harbin, Heilongjiang 150000, P. R. China
| | - Joseph Rich
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Xingyu Su
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA
| | - Hunter Bachman
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA
| | - Jianping Xia
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA
| | - Jinxin Zhang
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA
| | - Shuaiguo Zhao
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA
| | - Jia Zhou
- ASIC and System State Key Laboratory, School of Microelectronics, Fudan University, Shanghai 200433, P. R. China
| | - Tony Jun Huang
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| |
Collapse
|
39
|
Zhong Z, Zhu H, Zhang P, Morizio J, Huang TJ, Chakrabarty K. Hardware Design and Fault-Tolerant Synthesis for Digital Acoustofluidic Biochips. IEEE Trans Biomed Circuits Syst 2020; 14:1065-1078. [PMID: 32816679 PMCID: PMC7590316 DOI: 10.1109/tbcas.2020.3018136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
A digital microfluidic biochip (DMB) is an attractive platform for automating laboratory procedures in microbiology. To overcome the problem of cross-contamination due to fouling of the electrode surface in traditional DMBs, a contactless liquid-handling biochip technology, referred to as acoustofluidics, has recently been proposed. A major challenge in operating this platform is the need for a control signal of frequency 24 MHz and voltage range ±10/±20 V to activate the IDT units in the biochip. In this paper, we present a hardware design that can efficiently activate/de-activated each IDT, and can fully automate an bio-protocol. We also present a fault-tolerant synthesis technique that allows us to automatically map biomolecular protocols to acoustofluidic biochips. We develop and experimentally validate a velocity model, and use it to guide co-optimization for operation scheduling, module placement, and droplet routing in the presence of IDT faults. Simulation results demonstrate the effectiveness of the proposed synthesis method. Our results are expected to open new research directions on design automation of digital acoustofluidic biochips.
Collapse
|
40
|
Mao Z, Li P, Wu M, Bachman H, Mesyngier N, Guo X, Liu S, Costanzo F, Huang TJ. Correction to Enriching Nanoparticles via Acoustofluidics. ACS Nano 2020; 14:12256. [PMID: 32809796 DOI: 10.1021/acsnano.0c06332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
|
41
|
Wu M, Chen C, Wang Z, Bachman H, Ouyang Y, Huang PH, Sadovsky Y, Huang TJ. Correction: Separating extracellular vesicles and lipoproteins via acoustofluidics. Lab Chip 2020; 20:3472. [PMID: 32812585 DOI: 10.1039/d0lc90093a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Correction for 'Separating extracellular vesicles and lipoproteins via acoustofluidics' by Mengxi Wu et al., Lab Chip, 2019, 19, 1174-1182, DOI: .
Collapse
Affiliation(s)
- Mengxi Wu
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27707, USA.
| | | | | | | | | | | | | | | |
Collapse
|
42
|
Kang P, Tian Z, Yang S, Yu W, Zhu H, Bachman H, Zhao S, Zhang P, Wang Z, Zhong R, Huang TJ. Correction: Acoustic tweezers based on circular, slanted-finger interdigital transducers for dynamic manipulation of micro-objects. Lab Chip 2020; 20:3468. [PMID: 32812614 DOI: 10.1039/d0lc90089c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Correction for 'Acoustic tweezers based on circular, slanted-finger interdigital transducers for dynamic manipulation of micro-objects' by Putong Kang et al., Lab Chip, 2020, 20, 987-994, DOI: .
Collapse
Affiliation(s)
- Putong Kang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
43
|
Chen C, Zhang SP, Mao Z, Nama N, Gu Y, Huang PH, Jing Y, Guo X, Costanzo F, Huang TJ. Correction: Three-dimensional numerical simulation and experimental investigation of boundary-driven streaming in surface acoustic wave microfluidics. Lab Chip 2020; 20:3469. [PMID: 32812606 DOI: 10.1039/d0lc90090g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Correction for 'Three-dimensional numerical simulation and experimental investigation of boundary-driven streaming in surface acoustic wave microfluidics' by Chuyi Chen et al., Lab Chip, 2018, 18, 3645-3654, DOI: .
Collapse
Affiliation(s)
- Chuyi Chen
- Department of Mechanical Engineering and Material Science, Duke University, NC 27707, USA.
| | | | | | | | | | | | | | | | | | | |
Collapse
|
44
|
Zhao S, He W, Ma Z, Liu P, Huang PH, Bachman H, Wang L, Yang S, Tian Z, Wang Z, Gu Y, Xie Z, Huang TJ. Correction: On-chip stool liquefaction via acoustofluidics. Lab Chip 2020; 20:3474. [PMID: 32812609 DOI: 10.1039/d0lc90095h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Correction for 'On-chip stool liquefaction via acoustofluidics' by Shuaiguo Zhao et al., Lab Chip, 2019, 19, 941-947, DOI: .
Collapse
Affiliation(s)
- Shuaiguo Zhao
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
| | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
45
|
Liu P, Tian Z, Hao N, Bachman H, Zhang P, Hu J, Huang TJ. Acoustofluidic multi-well plates for enrichment of micro/nano particles and cells. Lab Chip 2020; 20:3399-3409. [PMID: 32779677 PMCID: PMC7494569 DOI: 10.1039/d0lc00378f] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Abstract
Controllable enrichment of micro/nanoscale objects plays a significant role in many biomedical and biochemical applications, such as increasing the detection sensitivity of assays, or improving the structures of bio-engineered tissues. However, few techniques can perform concentrations of micro/nano objects in multi-well plates, a very common laboratory vessel. In this work, we develop an acoustofluidic multi-well plate, which adopts an array of simple, low-cost and commercially available ring-shaped piezoelectric transducers for rapid and robust enrichment of micro/nanoscale particles/cells in each well of the plate. The enrichment mechanism is validated and characterized through both numerical simulations and experiments. We observe that the ring-shaped piezoelectric transducer can generate circular standing flexural waves in the substrate of each well, and that the vibrations can induce acoustic streaming near the interface between the substrate and a fluid droplet placed within the well; this streaming can drive micro/nanoscale objects to the center of the droplet for enrichment. Moreover, the acoustofluidic multi-well plate can realize simultaneous and consistent enrichment of biological cells in each well of the plate. With merits such as simplicity, controllability, low cost, and excellent compatibility with other downstream analysis tools, the developed acoustofluidic multi-well plate could be a versatile tool for many applications such as micro/nano fabrication, self-assembly, biomedical/biochemical sensing, and tissue engineering.
Collapse
Affiliation(s)
- Pengzhan Liu
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
| | | | | | | | | | | | | |
Collapse
|
46
|
Wu M, Chen K, Yang S, Wang Z, Huang PH, Mai J, Li ZY, Huang TJ. Correction: High-throughput cell focusing and separation via acoustofluidic tweezers. Lab Chip 2020; 20:3470. [PMID: 32812612 DOI: 10.1039/d0lc90091e] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Correction for 'High-throughput cell focusing and separation via acoustofluidic tweezers' by Mengxi Wu et al., Lab Chip, 2018, 18, 3003-3010, DOI: .
Collapse
Affiliation(s)
- Mengxi Wu
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27707, USA.
| | | | | | | | | | | | | | | |
Collapse
|
47
|
Bachman H, Chen C, Rufo J, Zhao S, Yang S, Tian Z, Nama N, Huang PH, Huang TJ. Correction: An acoustofluidic device for efficient mixing over a wide range of flow rates. Lab Chip 2020; 20:3473. [PMID: 32812605 DOI: 10.1039/d0lc90094j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Correction for 'An acoustofluidic device for efficient mixing over a wide range of flow rates' by Hunter Bachman et al., Lab Chip, 2020, 20, 1238-1248, DOI: .
Collapse
Affiliation(s)
- Hunter Bachman
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA.
| | | | | | | | | | | | | | | | | |
Collapse
|
48
|
Huang PH, Zhao S, Bachman H, Nama N, Li Z, Chen C, Yang S, Wu M, Zhang SP, Huang TJ. Erratum: Acoustofluidic Synthesis of Particulate Nanomaterials. Adv Sci (Weinh) 2020; 7:2002898. [PMID: 32995139 PMCID: PMC7507421 DOI: 10.1002/advs.202002898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
[This corrects the article DOI: 10.1002/advs.201900913.].
Collapse
|
49
|
Tian Z, Wang Z, Zhang P, Naquin TD, Mai J, Wu Y, Yang S, Gu Y, Bachman H, Liang Y, Yu Z, Huang TJ. Generating multifunctional acoustic tweezers in Petri dishes for contactless, precise manipulation of bioparticles. Sci Adv 2020; 6:6/37/eabb0494. [PMID: 32917678 DOI: 10.1126/sciadv.abb0494] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2020] [Accepted: 07/23/2020] [Indexed: 05/21/2023]
Abstract
Acoustic tweezers are a promising technology for the biocompatible, precise manipulation of delicate bioparticles ranging from nanometer-sized exosomes to millimeter-sized zebrafish larva. However, their widespread usage is hindered by their low compatibility with the workflows in biological laboratories. Here, we present multifunctional acoustic tweezers that can manipulate bioparticles in a disposable Petri dish. Various functionalities including cell patterning, tissue engineering, concentrating particles, translating cells, stimulating cells, and cell lysis are demonstrated. Moreover, leaky surface acoustic wave-based holography is achieved by encoding required phases in electrode profiles of interdigitated transducers. This overcomes the frequency and resolution limits of previous holographic techniques to control three-dimensional acoustic beams in microscale. This study presents a favorable technique for noncontact and label-free manipulation of bioparticles in commonly used Petri dishes. It can be readily adopted by the biological and medical communities for cell studies, tissue generation, and regenerative medicine.
Collapse
Affiliation(s)
- Zhenhua Tian
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Zeyu Wang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Peiran Zhang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Ty Downing Naquin
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - John Mai
- Alfred E. Mann Institute for Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Yuqi Wu
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Shujie Yang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Yuyang Gu
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Hunter Bachman
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Yaosi Liang
- Department of Pharmacology and Cancer Biology, Duke University, Durham, NC 27708, USA
| | - Zhiming Yu
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Tony Jun Huang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
| |
Collapse
|
50
|
Zhang L, Tian Z, Bachman H, Zhang P, Huang TJ. Correction to A Cell-Phone-Based Acoustofluidic Platform for Quantitative Point-of-Care Testing. ACS Nano 2020; 14:10747. [PMID: 32806040 DOI: 10.1021/acsnano.0c06333] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
|