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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.
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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
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2
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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 PMCID: PMC11052649 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.
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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.
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3
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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.
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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
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4
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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.
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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
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5
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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: 43] [Impact Index Per Article: 21.5] [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.
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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.
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6
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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.
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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.
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7
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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: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [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.
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Affiliation(s)
- Chuyi Chen
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC, USA
| | - Yuyang Gu
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC, USA
| | - Julien Philippe
- Center for Human Disease Modeling, Duke University Medical Center, Durham, NC, USA
| | - Peiran Zhang
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC, USA
| | - Hunter Bachman
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC, USA
| | - Jinxin Zhang
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC, USA
| | - John Mai
- Alfred E. Mann Institute for Biomedical Engineering, University of Southern California, Los Angeles, CA, USA
| | - Joseph Rufo
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC, USA
| | - John F Rawls
- Department of Molecular Genetics and Microbiology, Duke University, Durham, NC, USA
| | - Erica E Davis
- Center for Human Disease Modeling, Duke University Medical Center, Durham, NC, USA
- Advanced 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
- Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Nicholas Katsanis
- Center for Human Disease Modeling, Duke University Medical Center, Durham, NC, USA
- Advanced 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
- Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Tony Jun Huang
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC, USA.
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8
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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.
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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.
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9
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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.
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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.
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10
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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.
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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
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11
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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.
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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
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12
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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.
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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
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13
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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: .
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Affiliation(s)
- Hunter Bachman
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA.
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14
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Jin G, Bachman H, Naquin TD, Rufo J, Hou S, Tian Z, Zhao C, Huang TJ. Acoustofluidic Scanning Nanoscope with High Resolution and Large Field of View. ACS Nano 2020; 14:8624-8633. [PMID: 32574033 PMCID: PMC7438315 DOI: 10.1021/acsnano.0c03009] [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: 05/04/2023]
Abstract
Optical imaging with nanoscale resolution and a large field of view is highly desirable in many research areas. Unfortunately, it is challenging to achieve these two features simultaneously while using a conventional microscope. An objective lens with a low numerical aperture (NA) has a large field of view but poor resolution. In contrast, a high NA objective lens will have a higher resolution but reduced field of view. In an effort to close the gap between these trade-offs, we introduce an acoustofluidic scanning nanoscope (AS-nanoscope) that can simultaneously achieve high resolution with a large field of view. The AS-nanoscope relies on acoustofluidic-assisted scanning of multiple microsized particles. A scanned 2D image is then compiled by processing the microparticle images using an automated big-data image algorithm. The AS-nanoscope has the potential to be integrated into a conventional microscope or could serve as a stand-alone instrument for a wide range of applications where both high resolution and large field of view are required.
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Affiliation(s)
- Geonsoo Jin
- Department of Mechanical Engineering and Material Science, Duke University, Durham, North Carolina 27708, United States
| | - Hunter Bachman
- Department of Mechanical Engineering and Material Science, Duke University, Durham, North Carolina 27708, United States
| | - Ty Downing Naquin
- Department of Mechanical Engineering and Material Science, Duke University, Durham, North Carolina 27708, United States
| | - Joseph Rufo
- Department of Mechanical Engineering and Material Science, Duke University, Durham, North Carolina 27708, United States
| | - Serena Hou
- Department of Mechanical Engineering and Material Science, Duke University, Durham, North Carolina 27708, United States
| | - Zhenhua Tian
- Department of Mechanical Engineering and Material Science, Duke University, Durham, North Carolina 27708, United States
| | - Chenglong Zhao
- Department of Physics, University of Dayton, 300 College Park, Dayton, Ohio 45469, United States
- Department of Electro-Optics and Photonics, University of Dayton, 300 College Park, Dayton, Ohio 45469, United States
| | - Tony Jun Huang
- Department of Mechanical Engineering and Material Science, Duke University, Durham, North Carolina 27708, United States
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15
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Hao N, Liu P, Bachman H, Pei Z, Zhang P, Rufo J, Wang Z, Zhao S, Huang TJ. Acoustofluidics-Assisted Engineering of Multifunctional Three-Dimensional Zinc Oxide Nanoarrays. ACS Nano 2020; 14:6150-6163. [PMID: 32352741 PMCID: PMC7415004 DOI: 10.1021/acsnano.0c02145] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [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: 05/10/2023]
Abstract
The integration of acoustics and microfluidics (termed acoustofluidics) presents a frontier in the engineering of functional micro-/nanomaterials. Acoustofluidic techniques enable active and precise spatiotemporal control of matter, providing great potential for the design of advanced nanosystems with tunable material properties. In this work, we introduce an acoustofluidic approach for engineering multifunctional three-dimensional nanostructure arrays and demonstrate their potential in enrichment and biosensing applications. In particular, our acoustofluidic device integrates an acoustic transducer with a sharp-edge-based acoustofluidic reactor that enables uniform patterning of zinc oxide (ZnO) nanoarrays with customizable lengths, densities, diameters, and other properties. The resulting ZnO nanoarray-coated glass capillaries can rapidly and efficiently capture and enrich biomolecules with sizes ranging from a few nanometers to several hundred nanometers. In order to enable the detection of these biomolecules, silver (Ag) nanoparticles are deposited onto the ZnO nanoarrays, and the integrated ZnO-Ag capillary device functions as a label-free plasmonic biosensing system for surface-enhanced Raman spectroscopy (SERS) based detection of exosomes, DNA oligonucleotides, and E. coli bacteria. The optical sensing enhancement of ZnO-Ag capillary is further validated through finite-difference time-domain (FDTD) simulations. These findings not only provide insights into the engineering of functional micro/nanomaterials using acoustofluidics but also shed light onto the development of portable microanalytical devices for point-of-care applications.
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Affiliation(s)
- Nanjing Hao
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, North Carolina 27708, United States
| | - Pengzhan Liu
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, North Carolina 27708, United States
| | - Hunter Bachman
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, North Carolina 27708, United States
| | - Zhichao Pei
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, North Carolina 27708, United States
| | - Peiran Zhang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, North Carolina 27708, United States
| | - Joseph Rufo
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, North Carolina 27708, United States
| | - Zeyu Wang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, North Carolina 27708, United States
| | - Shuaiguo Zhao
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, North Carolina 27708, United States
| | - Tony Jun Huang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, North Carolina 27708, United States
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16
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Abstract
Manipulation of microparticles and bio-samples is a critical task in many research and clinical settings. Recently, acoustic based methods have garnered significant attention due to their relatively simple designs, and biocompatible and precise manipulation of small objects. Herein, we introduce a flexural wave based acoustofluidic manipulation platform that utilizes low-frequency (4-6 kHz) commercial buzzers to achieve dynamic particle concentration and translation in an open fluid well. The device has two primary modes of functionality, wherein particles can be concentrated in pressure nodes that are present on the bottom surface of the device, or particles can be trapped and manipulated in streaming vortices within the fluid domain; both of these functions result from flexural mode vibrations that travel from the transducers throughout the device. Throughout our research, we numerically and experimentally explored the wave patterns generated within the device, investigated the particle concentration phenomenon, and utilized a phase difference between the two transducers to achieve precision movement of fluid vortices and the entrapped particle clusters. With its simple, low-cost nature and open fluidic chamber design, this platform can be useful in many biological, biochemical, and biomedical applications, such as tumor spheroid generation and culture, as well as the manipulation of embryos.
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Affiliation(s)
- Hunter Bachman
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
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17
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Bachman H, Chen C, Rufo J, Zhao S, Yang S, Tian Z, Nama N, Huang PH, Huang TJ. An acoustofluidic device for efficient mixing over a wide range of flow rates. Lab Chip 2020; 20:1238-1248. [PMID: 32104816 PMCID: PMC7252412 DOI: 10.1039/c9lc01171d] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Whether reagents and samples need to be combined to achieve a desired reaction, or precise concentrations of solutions need to be mixed and delivered downstream, thorough mixing remains a critical step in many microfluidics-based biological and chemical assays and analyses. To achieve complete mixing of fluids in microfluidic devices, researchers have utilized novel channel designs or active intervention to facilitate mass transport and exchange of fluids. However, many of these solutions have a major limitation: their design inherently limits their operational throughput; that is, different designs work at specific flow rates, whether that be low or high ranges, but have difficulties outside of their tailored design regimes. In this work, we present an acoustofluidic mixer that is capable of achieving efficient, thorough mixing across a broad range of flow rates (20-2000 μL min-1) using a single device. Our mixer combines active acoustofluidic mixing, which is responsible for mixing fluids at lower flow rates, with passive hydrodynamic mixing, which accounts for mixing fluids at higher flow rates. The mechanism, functionality, and performance of our acoustofluidic device are both numerically and experimentally validated. Additionally, the real-world potential of our device is demonstrated by synthesizing polymeric nanoparticles with comparable sizes over a two-order-of-magnitude wide range of flow rates. This device can be valuable in many biochemical, biological, and biomedical applications. For example, using our platform, one may synthesize nanoparticles/nanomaterials at lower flow rates to first identify optimal synthesis conditions without having to waste significant amounts of reagents, and then increase the flow rate to perform high-throughput synthesis using the optimal conditions, all using the same single device and maintaining performance.
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Affiliation(s)
- Hunter Bachman
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA.
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18
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Wang Z, Li F, Rufo J, Chen C, Yang S, Li L, Zhang J, Cheng J, Kim Y, Wu M, Abemayor E, Tu M, Chia D, Spruce R, Batis N, Mehanna H, Wong DTW, Huang TJ. Acoustofluidic Salivary Exosome Isolation: A Liquid Biopsy Compatible Approach for Human Papillomavirus-Associated Oropharyngeal Cancer Detection. J Mol Diagn 2020; 22:50-59. [PMID: 31843276 PMCID: PMC6943372 DOI: 10.1016/j.jmoldx.2019.08.004] [Citation(s) in RCA: 89] [Impact Index Per Article: 22.3] [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: 04/17/2019] [Revised: 07/15/2019] [Accepted: 08/08/2019] [Indexed: 12/21/2022] Open
Abstract
Previous efforts to evaluate the detection of human papilloma viral (HPV) DNA in whole saliva as a diagnostic measure for HPV-associated oropharyngeal cancer (HPV-OPC) have not shown sufficient clinical performance. We hypothesize that salivary exosomes are packaged with HPV-associated biomarkers, and efficient enrichment of salivary exosomes through isolation can enhance diagnostic and prognostic performance for HPV-OPC. In this study, an acoustofluidic (the fusion of acoustics and microfluidics) platform was developed to perform size-based isolation of salivary exosomes. These data showed that this platform is capable of consistently isolating exosomes from saliva samples, regardless of viscosity variation and collection method. Compared with the current gold standard, differential centrifugation, droplet digital RT-PCR analysis showed that the average yield of salivary exosomal small RNA from the acoustofluidic platform is 15 times higher. With this high-yield exosome isolation platform, we show that HPV16 DNA could be detected in isolated exosomes from the saliva of HPV-associated OPC patients at 80% concordance with tissues/biopsies positive for HPV16. Overall, these data demonstrated that the acoustofluidic platform can achieve high-purity and high-yield salivary exosome isolation for downstream salivary exosome-based liquid biopsy applications. Additionally, HPV16 DNA sequences in HPV-OPC patients are packaged in salivary exosomes and their isolation will enhance the detection of HPV16 DNA.
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Affiliation(s)
- Zeyu Wang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, North Carolina
| | - Feng Li
- Center for Oral/Head & Neck Oncology Research, School of Dentistry, University of California Los Angeles, Los Angeles, California
| | - Joseph Rufo
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, North Carolina
| | - Chuyi Chen
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, North Carolina
| | - Shujie Yang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, North Carolina
| | - Liang Li
- Center for Oral/Head & Neck Oncology Research, School of Dentistry, University of California Los Angeles, Los Angeles, California; Institute of Diagnostics in Chinese Medicine, Hunan University of Chinese Medicine, Changsha, Huan, People's Republic of China
| | - Jinxin Zhang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, North Carolina
| | - Jordan Cheng
- Center for Oral/Head & Neck Oncology Research, School of Dentistry, University of California Los Angeles, Los Angeles, California
| | - Yong Kim
- Center for Oral/Head & Neck Oncology Research, School of Dentistry, University of California Los Angeles, Los Angeles, California
| | - Mengxi Wu
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, North Carolina
| | - Elliot Abemayor
- Department of Otolaryngology/Head & Neck Surgery, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
| | - Michael Tu
- Center for Oral/Head & Neck Oncology Research, School of Dentistry, University of California Los Angeles, Los Angeles, California
| | - David Chia
- Department of Pathology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
| | - Rachel Spruce
- Institute of Head and Neck Studies and Education (InHANSE), Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Nikolaos Batis
- Institute of Head and Neck Studies and Education (InHANSE), Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Hisham Mehanna
- Institute of Head and Neck Studies and Education (InHANSE), Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
| | - David T W Wong
- Center for Oral/Head & Neck Oncology Research, School of Dentistry, University of California Los Angeles, Los Angeles, California.
| | - Tony Jun Huang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, North Carolina.
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Bachman H, Fu H, Huang PH, Tian Z, Embry-Seckler J, Rufo J, Xie Z, Hartman JH, Zhao S, Yang S, Meyer JN, Huang TJ. Open source acoustofluidics. Lab Chip 2019; 19:2404-2414. [PMID: 31240285 PMCID: PMC6934416 DOI: 10.1039/c9lc00340a] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2023]
Abstract
Over the past several decades, a litany of acoustofluidic devices have been developed which purport to have significant advantages over traditional benchtop analytical tools. These acoustofluidic devices are frequently labeled as "labs-on-chips"; however, many do an insufficient job of limiting their dependence on the lab. Often, acoustofluidic devices still require skilled operators and complex external equipment. In an effort to address these shortcomings, we developed a low-cost, expandable, and multifunctional system for controlling acoustofluidic devices in the audible to low ultrasonic frequency range (31 Hz to 65 kHz). The system was designed around the readily available Arduino prototyping platform because of its user-friendly coding environment and expansive network of open source material; these factors enabled us to create a system capable of generating high voltage oscillatory signals and controlling microscale flows in acoustofluidic devices. Utilizing the established open source system, we achieved a series of acoustofluidic applications involving the manipulation of fluids and biological objects in a portable fashion. In particular, we used our open source acoustofluidic devices to achieve active rotation of cells and microorganisms, and operation of an acoustofluidic mixing device which has previously shown potential for viscous sample preparation, in a portable fashion. Additionally, using low frequency flexural waves and our portable system, we achieved acoustofluidic separation of particles based on size. It is our hope that the open source platform presented here can pave the way for future acoustofluidic devices to be used at the point-of-care, as well as simplify the operation of these devices to enable resource limited users to leverage the benefits of acoustofluidics in their work.
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Affiliation(s)
- Hunter Bachman
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA.
| | - Hai Fu
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA. and Department of Fluid Control and Automation, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China
| | - Po-Hsun Huang
- 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.
| | - Jonah Embry-Seckler
- 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.
| | - Zhemiao Xie
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA.
| | - Jessica H Hartman
- Nicholas School of the Environment, Duke University, Durham, NC 27708, USA
| | - Shuaiguo Zhao
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA.
| | - Shujie Yang
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA.
| | - Joel N Meyer
- Nicholas School of the Environment, Duke University, Durham, NC 27708, USA
| | - Tony Jun Huang
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA.
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Wu M, Ozcelik A, Rufo J, Wang Z, Fang R, Jun Huang T. Acoustofluidic separation of cells and particles. Microsyst Nanoeng 2019; 5:32. [PMID: 31231539 PMCID: PMC6545324 DOI: 10.1038/s41378-019-0064-3] [Citation(s) in RCA: 164] [Impact Index Per Article: 32.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Revised: 03/12/2019] [Accepted: 03/14/2019] [Indexed: 05/03/2023]
Abstract
Acoustofluidics, the integration of acoustics and microfluidics, is a rapidly growing research field that is addressing challenges in biology, medicine, chemistry, engineering, and physics. In particular, acoustofluidic separation of biological targets from complex fluids has proven to be a powerful tool due to the label-free, biocompatible, and contact-free nature of the technology. By carefully designing and tuning the applied acoustic field, cells and other bioparticles can be isolated with high yield, purity, and biocompatibility. Recent advances in acoustofluidics, such as the development of automated, point-of-care devices for isolating sub-micron bioparticles, address many of the limitations of conventional separation tools. More importantly, advances in the research lab are quickly being adopted to solve clinical problems. In this review article, we discuss working principles of acoustofluidic separation, compare different approaches of acoustofluidic separation, and provide a synopsis of how it is being applied in both traditional applications, such as blood component separation, cell washing, and fluorescence activated cell sorting, as well as emerging applications, including circulating tumor cell and exosome isolation.
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Affiliation(s)
- Mengxi Wu
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708 USA
| | - Adem Ozcelik
- Mechanical Engineering Department, Aydin Adnan Menderes University, 09010 Aydin, Turkey
| | - Joseph Rufo
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708 USA
| | - Zeyu Wang
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708 USA
| | - Rui Fang
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138 USA
| | - Tony Jun Huang
- Department of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708 USA
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Wu M, Mao Z, Chen K, Bachman H, Chen Y, Rufo J, Ren L, Li P, Wang L, Huang TJ. Acoustic Separation of Nanoparticles in Continuous Flow. Adv Funct Mater 2017; 27:1606039. [PMID: 29104525 PMCID: PMC5668689 DOI: 10.1002/adfm.201606039] [Citation(s) in RCA: 62] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
The separation of nanoscale particles based on their differences in size is an essential technique to the nanoscience and nanotechnology community. Here, nanoparticles are successfully separated in a continuous flow by using tilted-angle standing surface acoustic waves. The acoustic field deflects nanoparticles based on volume, and the fractionation of nanoparticles is optimized by tuning the cutoff parameters. The continuous separation of nanoparticlesis demonstrated with a ≈90% recovery rate. The acoustic nanoparticle separation method is versatile, non-invasive, and simple.
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Affiliation(s)
- Mengxi Wu
- Department of Engineering Science and Mechanics, The Pennsylvania State University, State College, PA 16802, USA
| | - Zhangming Mao
- Department of Engineering Science and Mechanics, The Pennsylvania State University, State College, PA 16802, USA
| | - Kejie Chen
- Department of Engineering Science and Mechanics, The Pennsylvania State University, State College, PA 16802, USA
| | - Hunter Bachman
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Yuchao Chen
- Department of Engineering Science and Mechanics, The Pennsylvania State University, State College, PA 16802, USA
| | - Joseph Rufo
- Department of Engineering Science and Mechanics, The Pennsylvania State University, State College, PA 16802, USA
| | - Liqiang Ren
- Department of Engineering Science and Mechanics, The Pennsylvania State University, State College, PA 16802, USA
| | - Peng Li
- Department of Engineering Science and Mechanics, The Pennsylvania State University, State College, PA 16802, USA
| | - Lin Wang
- Ascent Bio-Nano Technologies Inc., Research Triangle Park, NC 27709, USA
| | - Tony Jun Huang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
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22
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Mao Z, Xie Y, Guo F, Ren L, Huang PH, Chen Y, Rufo J, Costanzo F, Huang TJ. Experimental and numerical studies on standing surface acoustic wave microfluidics. Lab Chip 2016; 16:515-24. [PMID: 26698361 PMCID: PMC4856433 DOI: 10.1039/c5lc00707k] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Standing surface acoustic waves (SSAW) are commonly used in microfluidics to manipulate cells and other micro/nano particles. However, except for a simple one-dimensional (1D) harmonic standing waves (HSW) model, a practical model that can predict particle behaviour in SSAW microfluidics is still lacking. Herein, we established a two-dimensional (2D) SSAW microfluidic model based on the basic theory in acoustophoresis and our previous modelling strategy to predict the acoustophoresis of microparticles in SSAW microfluidics. This 2D SSAW microfluidic model considers the effects of boundary vibrations, channel materials, and channel dimensions on the acoustic propagation; as an experimental validation, the acoustophoresis of microparticles under continuous flow through narrow channels made of PDMS and silicon was studied. The experimentally observed motion of the microparticles matched well with the numerical predictions, while the 1D HSW model failed to predict many of the experimental observations. Particularly, the 1D HSW model cannot account for particle aggregation on the sidewall in PDMS channels, which is well explained by our 2D SSAW microfluidic model. Our model can be used for device design and optimization in SSAW microfluidics.
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Affiliation(s)
- Zhangming Mao
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA.
| | - Yuliang Xie
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA. and Department of Chemical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Feng Guo
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA.
| | - Liqiang Ren
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA.
| | - Po-Hsun Huang
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA.
| | - Yuchao Chen
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA.
| | - Joseph Rufo
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA.
| | - Francesco Costanzo
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA.
| | - Tony Jun Huang
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA.
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23
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Ren L, Chen Y, Li P, Mao Z, Huang PH, Rufo J, Guo F, Wang L, McCoy JP, Levine SJ, Huang TJ. A high-throughput acoustic cell sorter. Lab Chip 2015; 15:3870-3879. [PMID: 26289231 PMCID: PMC4641751 DOI: 10.1039/c5lc00706b] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Acoustic-based fluorescence activated cell sorters (FACS) have drawn increased attention in recent years due to their versatility, high biocompatibility, high controllability, and simple design. However, the sorting throughput for existing acoustic cell sorters is far from optimum for practical applications. Here we report a high-throughput cell sorting method based on standing surface acoustic waves (SSAWs). We utilized a pair of focused interdigital transducers (FIDTs) to generate SSAW with high resolution and high energy efficiency. As a result, the sorting throughput is improved significantly from conventional acoustic-based cell sorting methods. We demonstrated the successful sorting of 10 μm polystyrene particles with a minimum actuation time of 72 μs, which translates to a potential sorting rate of more than 13,800 events per second. Without using a cell-detection unit, we were able to demonstrate an actual sorting throughput of 3300 events per second. Our sorting method can be conveniently integrated with upstream detection units, and it represents an important development towards a functional acoustic-based FACS system.
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Affiliation(s)
- Liqiang Ren
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA
| | - Yuchao Chen
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA
| | - Peng Li
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA
| | - Zhangming Mao
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA
| | - Po-Hsun Huang
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA
| | - Joseph Rufo
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA
| | - Feng Guo
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA
| | - Lin Wang
- Ascent Bio-Nano Technologies, Inc., State College, PA, 16802, USA
| | - J. Philip McCoy
- National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, MD, USA
| | - Stewart J. Levine
- National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, MD, USA
| | - Tony Jun Huang
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA
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Wang M, Zhao C, Miao X, Zhao Y, Rufo J, Liu YJ, Huang TJ, Zheng Y. Plasmofluidics: Merging Light and Fluids at the Micro-/Nanoscale. Small 2015; 11:4423-44. [PMID: 26140612 PMCID: PMC4856436 DOI: 10.1002/smll.201500970] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [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: 04/08/2015] [Revised: 05/07/2015] [Indexed: 05/14/2023]
Abstract
Plasmofluidics is the synergistic integration of plasmonics and micro/nanofluidics in devices and applications in order to enhance performance. There has been significant progress in the emerging field of plasmofluidics in recent years. By utilizing the capability of plasmonics to manipulate light at the nanoscale, combined with the unique optical properties of fluids and precise manipulation via micro/nanofluidics, plasmofluidic technologies enable innovations in lab-on-a-chip systems, reconfigurable photonic devices, optical sensing, imaging, and spectroscopy. In this review article, the most recent advances in plasmofluidics are examined and categorized into plasmon-enhanced functionalities in microfluidics and microfluidics-enhanced plasmonic devices. The former focuses on plasmonic manipulations of fluids, bubbles, particles, biological cells, and molecules at the micro/nanoscale. The latter includes technological advances that apply microfluidic principles to enable reconfigurable plasmonic devices and performance-enhanced plasmonic sensors. The article is concluded with perspectives on the upcoming challenges, opportunities, and possible future directions of the emerging field of plasmofluidics.
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Affiliation(s)
- Mingsong Wang
- Department of Mechanical Engineering, Materials Science and Engineering Program Texas Materials Institute The University of Texas at Austin, Austin, Texas 78712, USA
| | - Chenglong Zhao
- Department of Physics Electro-Optics, Graduate Program University of Dayton, Dayton, Ohio 45469, USA
| | - Xiaoyu Miao
- Google, Inc., 1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA
| | - Yanhui Zhao
- Department of Engineering Science and Mechanics, Department of Biomedical Engineering, Materials Research Institute, Huck Institute of Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Joseph Rufo
- Department of Engineering Science and Mechanics, Department of Biomedical Engineering, Materials Research Institute, Huck Institute of Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Yan Jun Liu
- Institute of Materials Research and Engineering, Agency for Science, Technology and Research (A*STAR) 3 Research Link, Singapore 117602, Singapore
| | - Tony Jun Huang
- Department of Engineering Science and Mechanics, Department of Biomedical Engineering, Materials Research Institute, Huck Institute of Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Yuebing Zheng
- Department of Mechanical Engineering, Materials Science and Engineering Program Texas Materials Institute The University of Texas at Austin, Austin, Texas 78712, USA
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Huang PH, Nama N, Mao Z, Li P, Rufo J, Chen Y, Xie Y, Wei CH, Wang L, Huang TJ. A reliable and programmable acoustofluidic pump powered by oscillating sharp-edge structures. Lab Chip 2014; 14:4319-23. [PMID: 25188786 PMCID: PMC4198616 DOI: 10.1039/c4lc00806e] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
We present a programmable acoustofluidic pump that utilizes the acoustic streaming effects generated by the oscillation of tilted sharp-edge structures. This sharp-edge-based acoustofluidic pump is capable of generating stable flow rates as high as 8 μL min(-1) (~76 Pa of pumping pressure), and it can tune flow rates across a wide range (nanoliters to microliters per minute). Along with its ability to reliably produce stable and tunable flow rates, the acoustofluidic pump is easy to operate and requires minimum hardware, showing great potential for a variety of applications.
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Affiliation(s)
- Po-Hsun Huang
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA.
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26
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Zhao C, Xie Y, Mao Z, Zhao Y, Rufo J, Yang S, Guo F, Mai JD, Huang TJ. Theory and experiment on particle trapping and manipulation via optothermally generated bubbles. Lab Chip 2014; 14:384-91. [PMID: 24276624 PMCID: PMC3998756 DOI: 10.1039/c3lc50748c] [Citation(s) in RCA: 75] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/19/2023]
Abstract
We present a theoretical analysis and experimental demonstration of particle trapping and manipulation around optothermally generated bubbles. We show that a particle located within 500 μm of a surface bubble can be attracted towards a bubble by drag force resulting from a convective flow. Once the particle comes in contact with the bubble's surface, a balance between surface tension forces and pressure forces traps the particle on the bubble surface, allowing the particle to move with the bubble without detaching. The proposed mechanism is confirmed by computational fluid dynamics simulations, force calculations, and experiments. Based on this mechanism, we experimentally demonstrated a novel approach for manipulating microparticles via optothermally generated bubbles. Using this approach, randomly distributed microparticles were effectively collected and carried to predefined locations. Single particles were also manipulated along prescribed trajectories. This bubble-based particle trapping and manipulation technique can be useful in applications such as micro assembly, particle concentration, and high-precision particle separation.
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Affiliation(s)
- Chenglong Zhao
- Department of Chemical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Yuliang Xie
- Department of Chemical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA. Fax: 814-865-9974; Tel: 814-863-4209
| | - Zhangming Mao
- Department of Chemical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Yanhui Zhao
- Department of Chemical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Joseph Rufo
- Department of Chemical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Shikuan Yang
- Department of Chemical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Feng Guo
- Department of Chemical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - John D. Mai
- Department of Mechanical Engineering and Biomedical Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong SAR
| | - Tony Jun Huang
- Department of Chemical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA. Fax: 814-865-9974; Tel: 814-863-4209
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Nawaz AA, Zhang X, Mao X, Rufo J, Lin SCS, Guo F, Zhao Y, Lapsley M, Li P, McCoy JP, Levine SJ, Huang TJ. Sub-micrometer-precision, three-dimensional (3D) hydrodynamic focusing via "microfluidic drifting". Lab Chip 2014; 14:415-23. [PMID: 24287742 PMCID: PMC3989543 DOI: 10.1039/c3lc50810b] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
In this article, we demonstrate single-layered, "microfluidic drifting" based three-dimensional (3D) hydrodynamic focusing devices with particle/cell focal positioning approaching submicron precision along both lateral and vertical directions. By systematically optimizing channel geometries and sample/sheath flow rates, a series of "microfluidic drifting" based 3D hydrodynamic focusing devices with different curvature angles are designed and fabricated. Their performances are then evaluated using confocal microscopy, fast camera imaging, and side-view imaging techniques. Using a device with a curvature angle of 180°, we have achieved a standard deviation of ±0.45 μm in particle focal position and a coefficient of variation (CV) of 2.37% in flow cytometric measurements. To the best of our knowledge, this is the best CV that has been achieved using a microfluidic flow cytometry device. Moreover, the device showed the capability to distinguish 8 peaks when subjected to a stringent 8-peak rainbow calibration test, signifying the ability to perform sensitive, accurate tests similar to commercial flow cytometers. We have further tested and validated our device by detection of HEK-293 cells. With its advantages in simple fabrication (i.e., single-layered device), precise 3D hydrodynamic focusing (i.e., submicrometer precision along both lateral and vertical directions), and high detection resolution (i.e., low CV), our method could serve as an important basis for high-performance, mass-producible microfluidic flow cytometry.
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Affiliation(s)
- Ahmad Ahsan Nawaz
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA.
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Huang PH, Xie Y, Ahmed D, Rufo J, Nama N, Chen Y, Chan CY, Huang TJ. An acoustofluidic micromixer based on oscillating sidewall sharp-edges. Lab Chip 2013; 13:3847-52. [PMID: 23896797 PMCID: PMC3988907 DOI: 10.1039/c3lc50568e] [Citation(s) in RCA: 130] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
Rapid and homogeneous mixing inside a microfluidic channel is demonstrated via the acoustic streaming phenomenon induced by the oscillation of sidewall sharp-edges. By optimizing the design of the sharp-edges, excellent mixing performance and fast mixing speed can be achieved in a simple device, making our sharp-edge-based acoustic micromixer a promising candidate for a wide variety of applications.
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Affiliation(s)
- Po-Hsun Huang
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA.
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Xie Y, Zhao C, Zhao Y, Li S, Rufo J, Yang S, Guo F, Huang TJ. Optoacoustic tweezers: a programmable, localized cell concentrator based on opto-thermally generated, acoustically activated, surface bubbles. Lab Chip 2013; 13:1772-1779. [PMID: 23511348 PMCID: PMC3988908 DOI: 10.1039/c3lc00043e] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
We present a programmable, biocompatible technique for dynamically concentrating and patterning particles and cells in a microfluidic device. Since our technique utilizes opto-thermally generated, acoustically activated, surface bubbles, we name it "optoacoustic tweezers". The optoacoustic tweezers are capable of concentrating particles/cells at any prescribed locations in a microfluidic chamber without the use of permanent structures, rendering it particularly useful for the formation of flexible, complex cell patterns. Additionally, this technique has demonstrated excellent biocompatibility and can be conveniently integrated with other microfluidic units. In our experiments, micro-bubbles were generated by focusing a 405 nm diode laser onto a gold-coated glass chamber. By properly tuning the laser, we demonstrate precise control over the position and size of the generated bubbles. Acoustic waves were then applied to activate the surface bubbles, causing them to oscillate at an optimized frequency. The resulting acoustic radiation force allowed us to locally trap particles/cells, including 15 μm polystyrene beads and HeLa cells, around each bubble. Cell-adhesion tests were also conducted after cell concentrating to confirm the biocompatibility of this technique.
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Affiliation(s)
- Yuliang Xie
- Department of Chemical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA
| | - Chenglong Zhao
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA
| | - Yanhui Zhao
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA
| | - Sixing Li
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA
| | - Joseph Rufo
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA
| | - Shikuan Yang
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA
| | - Feng Guo
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA
| | - Tony Jun Huang
- Department of Chemical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA
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Guerra V, Quintana C, Rufo J, Rabadan J, Perez-Jimenez R. Parallelization of a Monte Carlo Ray Tracing Algorithm for Channel Modelling in Underwater Wireless Optical Communications. ACTA ACUST UNITED AC 2013. [DOI: 10.1016/j.protcy.2013.04.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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