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Puumala LS, Grist SM, Morales JM, Bickford JR, Chrostowski L, Shekhar S, Cheung KC. Biofunctionalization of Multiplexed Silicon Photonic Biosensors. BIOSENSORS 2022; 13:53. [PMID: 36671887 PMCID: PMC9855810 DOI: 10.3390/bios13010053] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 12/10/2022] [Accepted: 12/23/2022] [Indexed: 05/28/2023]
Abstract
Silicon photonic (SiP) sensors offer a promising platform for robust and low-cost decentralized diagnostics due to their high scalability, low limit of detection, and ability to integrate multiple sensors for multiplexed analyte detection. Their CMOS-compatible fabrication enables chip-scale miniaturization, high scalability, and low-cost mass production. Sensitive, specific detection with silicon photonic sensors is afforded through biofunctionalization of the sensor surface; consequently, this functionalization chemistry is inextricably linked to sensor performance. In this review, we first highlight the biofunctionalization needs for SiP biosensors, including sensitivity, specificity, cost, shelf-stability, and replicability and establish a set of performance criteria. We then benchmark biofunctionalization strategies for SiP biosensors against these criteria, organizing the review around three key aspects: bioreceptor selection, immobilization strategies, and patterning techniques. First, we evaluate bioreceptors, including antibodies, aptamers, nucleic acid probes, molecularly imprinted polymers, peptides, glycans, and lectins. We then compare adsorption, bioaffinity, and covalent chemistries for immobilizing bioreceptors on SiP surfaces. Finally, we compare biopatterning techniques for spatially controlling and multiplexing the biofunctionalization of SiP sensors, including microcontact printing, pin- and pipette-based spotting, microfluidic patterning in channels, inkjet printing, and microfluidic probes.
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Affiliation(s)
- Lauren S. Puumala
- School of Biomedical Engineering, University of British Columbia, 2222 Health Sciences Mall, Vancouver, BC V6T 1Z3, Canada
- Centre for Blood Research, University of British Columbia, 2350 Health Sciences Mall, Vancouver, BC V6T 1Z3, Canada
| | - Samantha M. Grist
- School of Biomedical Engineering, University of British Columbia, 2222 Health Sciences Mall, Vancouver, BC V6T 1Z3, Canada
- Centre for Blood Research, University of British Columbia, 2350 Health Sciences Mall, Vancouver, BC V6T 1Z3, Canada
- Dream Photonics Inc., Vancouver, BC V6T 0A7, Canada
| | - Jennifer M. Morales
- Army Research Laboratory, US Army Combat Capabilities Development Command, 2800 Powder Mill Rd., Adelphi, MD 20783, USA
| | - Justin R. Bickford
- Army Research Laboratory, US Army Combat Capabilities Development Command, 2800 Powder Mill Rd., Adelphi, MD 20783, USA
| | - Lukas Chrostowski
- Dream Photonics Inc., Vancouver, BC V6T 0A7, Canada
- Department of Electrical and Computer Engineering, University of British Columbia, 2332 Main Mall, Vancouver, BC V6T 1Z4, Canada
- Stewart Blusson Quantum Matter Institute, University of British Columbia, 2355 East Mall, Vancouver, BC V6T 1Z4, Canada
| | - Sudip Shekhar
- Dream Photonics Inc., Vancouver, BC V6T 0A7, Canada
- Department of Electrical and Computer Engineering, University of British Columbia, 2332 Main Mall, Vancouver, BC V6T 1Z4, Canada
| | - Karen C. Cheung
- School of Biomedical Engineering, University of British Columbia, 2222 Health Sciences Mall, Vancouver, BC V6T 1Z3, Canada
- Centre for Blood Research, University of British Columbia, 2350 Health Sciences Mall, Vancouver, BC V6T 1Z3, Canada
- Department of Electrical and Computer Engineering, University of British Columbia, 2332 Main Mall, Vancouver, BC V6T 1Z4, Canada
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Puumala LS, Grist SM, Wickremasinghe K, Al-Qadasi MA, Chowdhury SJ, Liu Y, Mitchell M, Chrostowski L, Shekhar S, Cheung KC. An Optimization Framework for Silicon Photonic Evanescent-Field Biosensors Using Sub-Wavelength Gratings. BIOSENSORS 2022; 12:840. [PMID: 36290977 PMCID: PMC9599562 DOI: 10.3390/bios12100840] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 09/30/2022] [Accepted: 09/30/2022] [Indexed: 05/31/2023]
Abstract
Silicon photonic (SiP) evanescent-field biosensors aim to combine the information-rich readouts offered by lab-scale diagnostics, at a significantly lower cost, and with the portability and rapid time to result offered by paper-based assays. While SiP biosensors fabricated with conventional strip waveguides can offer good sensitivity for label-free detection in some applications, there is still opportunity for improvement. Efforts have been made to design higher-sensitivity SiP sensors with alternative waveguide geometries, including sub-wavelength gratings (SWGs). However, SWG-based devices are fragile and prone to damage, limiting their suitability for scalable and portable sensing. Here, we investigate SiP microring resonator sensors designed with SWG waveguides that contain a "fishbone" and highlight the improved robustness offered by this design. We present a framework for optimizing fishbone-style SWG waveguide geometries based on numerical simulations, then experimentally measure the performance of ring resonator sensors fabricated with the optimized waveguides, targeting operation in the O-band and C-band. For the O-band and C-band devices, we report bulk sensitivities up to 349 nm/RIU and 438 nm/RIU, respectively, and intrinsic limits of detection as low as 5.1 × 10-4 RIU and 7.1 × 10-4 RIU, respectively. This performance is comparable to the state of the art in SWG-based sensors, positioning fishbone SWG resonators as an attractive, more robust, alternative to conventional SWG designs.
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Affiliation(s)
- Lauren S. Puumala
- School of Biomedical Engineering, University of British Columbia, 251-2222 Health Sciences Mall, Vancouver, BC V6T 1Z3, Canada
- Centre for Blood Research, University of British Columbia, 2350 Health Sciences Mall, Vancouver, BC V6T 1Z3, Canada
| | - Samantha M. Grist
- School of Biomedical Engineering, University of British Columbia, 251-2222 Health Sciences Mall, Vancouver, BC V6T 1Z3, Canada
- Centre for Blood Research, University of British Columbia, 2350 Health Sciences Mall, Vancouver, BC V6T 1Z3, Canada
- Dream Photonics Inc., Vancouver, BC V6T 0A7, Canada
| | - Kithmin Wickremasinghe
- Department of Electrical and Computer Engineering, University of British Columbia, 5500-2332 Main Mall, Vancouver, BC V6T 1Z4, Canada
| | - Mohammed A. Al-Qadasi
- Department of Electrical and Computer Engineering, University of British Columbia, 5500-2332 Main Mall, Vancouver, BC V6T 1Z4, Canada
| | - Sheri Jahan Chowdhury
- Department of Electrical and Computer Engineering, University of British Columbia, 5500-2332 Main Mall, Vancouver, BC V6T 1Z4, Canada
| | - Yifei Liu
- Department of Electrical and Computer Engineering, University of British Columbia, 5500-2332 Main Mall, Vancouver, BC V6T 1Z4, Canada
| | - Matthew Mitchell
- Dream Photonics Inc., Vancouver, BC V6T 0A7, Canada
- Stewart Blusson Quantum Matter Institute, University of British Columbia, 2355 East Mall, Vancouver, BC V6T 1Z4, Canada
| | - Lukas Chrostowski
- Dream Photonics Inc., Vancouver, BC V6T 0A7, Canada
- Department of Electrical and Computer Engineering, University of British Columbia, 5500-2332 Main Mall, Vancouver, BC V6T 1Z4, Canada
- Stewart Blusson Quantum Matter Institute, University of British Columbia, 2355 East Mall, Vancouver, BC V6T 1Z4, Canada
| | - Sudip Shekhar
- Dream Photonics Inc., Vancouver, BC V6T 0A7, Canada
- Department of Electrical and Computer Engineering, University of British Columbia, 5500-2332 Main Mall, Vancouver, BC V6T 1Z4, Canada
| | - Karen C. Cheung
- School of Biomedical Engineering, University of British Columbia, 251-2222 Health Sciences Mall, Vancouver, BC V6T 1Z3, Canada
- Centre for Blood Research, University of British Columbia, 2350 Health Sciences Mall, Vancouver, BC V6T 1Z3, Canada
- Department of Electrical and Computer Engineering, University of British Columbia, 5500-2332 Main Mall, Vancouver, BC V6T 1Z4, Canada
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Yang F, Carmona A, Stojkova K, Garcia Huitron EI, Goddi A, Bhushan A, Cohen RN, Brey EM. A 3D human adipose tissue model within a microfluidic device. LAB ON A CHIP 2021; 21:435-446. [PMID: 33351023 PMCID: PMC7876365 DOI: 10.1039/d0lc00981d] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
An accurate in vitro model of human adipose tissue could assist in the study of adipocyte function and allow for better tools for screening new therapeutic compounds. Cell culture models on two-dimensional surfaces fall short of mimicking the three-dimensional in vivo adipose environment, while three-dimensional culture models are often unable to support long-term cell culture due, in part, to insufficient mass transport. Microfluidic systems have been explored for adipose tissue models. However, current systems have primarily focused on 2D cultured adipocytes. In this work, a 3D human adipose microtissue was engineered within a microfluidic system. Human adipose-derived stem cells (ADSCs) were used as the cell source for generating differentiated adipocytes. The ADSCs differentiated within the microfluidic system formed a dense lipid-loaded mass with the expression of adipose tissue genetic markers. Engineered adipose tissue showed a decreased adiponectin secretion and increased free fatty acid secretion with increasing shear stress. Adipogenesis markers were downregulated with increasing shear stress. Overall, this microfluidic system enables the on-chip differentiation and development of a functional 3D human adipose microtissue supported by the interstitial flow. This system could potentially serve as a platform for in vitro drug testing for adipose tissue-related diseases.
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Affiliation(s)
- Feipeng Yang
- Illinois Institute of Technology, Department of Biomedical Engineering, Chicago, 60616, USA
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Ashammakhi N, Nasiri R, Barros NRD, Tebon P, Thakor J, Goudie M, Shamloo A, Martin MG, Khademhosseini A. Gut-on-a-chip: Current progress and future opportunities. Biomaterials 2020; 255:120196. [PMID: 32623181 PMCID: PMC7396314 DOI: 10.1016/j.biomaterials.2020.120196] [Citation(s) in RCA: 109] [Impact Index Per Article: 27.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 04/11/2020] [Accepted: 06/09/2020] [Indexed: 12/21/2022]
Abstract
Organ-on-a-chip technology tries to mimic the complexity of native tissues in vitro. Important progress has recently been made in using this technology to study the gut with and without microbiota. These in vitro models can serve as an alternative to animal models for studying physiology, pathology, and pharmacology. While these models have greater physiological relevance than two-dimensional (2D) cell systems in vitro, endocrine and immunological functions in gut-on-a-chip models are still poorly represented. Furthermore, the construction of complex models, in which different cell types and structures interact, remains a challenge. Generally, gut-on-a-chip models have the potential to advance our understanding of the basic interactions found within the gut and lay the foundation for future applications in understanding pathophysiology, developing drugs, and personalizing medical treatments.
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Affiliation(s)
- Nureddin Ashammakhi
- Center for Minimally Invasive Therapeutics (C-MIT), University of California, Los Angeles, CA, USA; Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA; Department of Bioengineering, Samueli School of Engineering, University of California, Los Angeles, CA, USA.
| | - Rohollah Nasiri
- Center for Minimally Invasive Therapeutics (C-MIT), University of California, Los Angeles, CA, USA; Department of Bioengineering, Samueli School of Engineering, University of California, Los Angeles, CA, USA; Department of Mechanical Engineering, Sharif University of Technology, Tehran 11365-11155, Iran
| | - Natan Roberto de Barros
- Center for Minimally Invasive Therapeutics (C-MIT), University of California, Los Angeles, CA, USA; Department of Bioengineering, Samueli School of Engineering, University of California, Los Angeles, CA, USA.
| | - Peyton Tebon
- Center for Minimally Invasive Therapeutics (C-MIT), University of California, Los Angeles, CA, USA; Department of Bioengineering, Samueli School of Engineering, University of California, Los Angeles, CA, USA
| | - Jai Thakor
- Center for Minimally Invasive Therapeutics (C-MIT), University of California, Los Angeles, CA, USA; Department of Bioengineering, Samueli School of Engineering, University of California, Los Angeles, CA, USA
| | - Marcus Goudie
- Center for Minimally Invasive Therapeutics (C-MIT), University of California, Los Angeles, CA, USA; Department of Bioengineering, Samueli School of Engineering, University of California, Los Angeles, CA, USA
| | - Amir Shamloo
- Department of Mechanical Engineering, Sharif University of Technology, Tehran 11365-11155, Iran
| | - Martin G Martin
- Department of Pediatrics, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Ali Khademhosseini
- Center for Minimally Invasive Therapeutics (C-MIT), University of California, Los Angeles, CA, USA; Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA; Department of Bioengineering, Samueli School of Engineering, University of California, Los Angeles, CA, USA; Department of Chemical and Biomolecular Engineering, Samueli School of Engineering, University of California, Los Angeles, CA, USA; Terasaki Institute for Biomedical Innovation, Los Angeles, CA, USA.
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Davoodi E, Zhianmanesh M, Montazerian H, Milani AS, Hoorfar M. Nano-porous anodic alumina: fundamentals and applications in tissue engineering. JOURNAL OF MATERIALS SCIENCE. MATERIALS IN MEDICINE 2020; 31:60. [PMID: 32642974 DOI: 10.1007/s10856-020-06398-2] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Accepted: 06/25/2020] [Indexed: 06/11/2023]
Abstract
Recently, nanomaterials have been widely utilized in tissue engineering applications due to their unique properties such as the high surface to volume ratio and diversity of morphology and structure. However, most methods used for the fabrication of nanomaterials are rather complicated and costly. Among different nanomaterials, anodic aluminum oxide (AAO) is a great example of nanoporous structures that can easily be engineered by changing the electrolyte type, anodizing potential, current density, temperature, acid concentration and anodizing time. Nanoporous anodic alumina has often been used for mammalian cell culture, biofunctionalization, drug delivery, and biosensing by coating its surface with biocompatible materials. Despite its wide application in tissue engineering, thorough in vivo and in vitro studies of AAO are still required to enhance its biocompatibility and thereby pave the way for its application in tissue replacements. Recognizing this gap, this review article aims to highlight the biomedical potentials of AAO for applications in tissue replacements along with the mechanism of porous structure formation and pore characteristics in terms of fabrication parameters.
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Affiliation(s)
- Elham Davoodi
- Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, ON, N2L 3G1, Canada.
| | - Masoud Zhianmanesh
- Department of Mechanical Engineering, Shahid Rajaee Teacher Training University, Shabanloo Street, Tehran, 16788, Iran
| | - Hossein Montazerian
- School of Engineering, University of British Columbia, Kelowna, BC, V1V 1V7, Canada
| | - Abbas S Milani
- School of Engineering, University of British Columbia, Kelowna, BC, V1V 1V7, Canada
| | - Mina Hoorfar
- School of Engineering, University of British Columbia, Kelowna, BC, V1V 1V7, Canada.
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Micro and nanoscale technologies in oral drug delivery. Adv Drug Deliv Rev 2020; 157:37-62. [PMID: 32707147 PMCID: PMC7374157 DOI: 10.1016/j.addr.2020.07.012] [Citation(s) in RCA: 101] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 07/13/2020] [Accepted: 07/17/2020] [Indexed: 12/25/2022]
Abstract
Oral administration is a pillar of the pharmaceutical industry and yet it remains challenging to administer hydrophilic therapeutics by the oral route. Smart and controlled oral drug delivery could bypass the physiological barriers that limit the oral delivery of these therapeutics. Micro- and nanoscale technologies, with an unprecedented ability to create, control, and measure micro- or nanoenvironments, have found tremendous applications in biology and medicine. In particular, significant advances have been made in using these technologies for oral drug delivery. In this review, we briefly describe biological barriers to oral drug delivery and micro and nanoscale fabrication technologies. Micro and nanoscale drug carriers fabricated using these technologies, including bioadhesives, microparticles, micropatches, and nanoparticles, are described. Other applications of micro and nanoscale technologies are discussed, including fabrication of devices and tissue engineering models to precisely control or assess oral drug delivery in vivo and in vitro, respectively. Strategies to advance translation of micro and nanotechnologies into clinical trials for oral drug delivery are mentioned. Finally, challenges and future prospects on further integration of micro and nanoscale technologies with oral drug delivery systems are highlighted.
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