1
|
Son YJ, Keum C, Kim M, Jeong G, Jin S, Hwang HW, Kim H, Lee K, Jeon H, Kim H, Pahk KJ, Jang HW, Sun JY, Han HS, Lee KH, Ok MR, Kim YC, Jeong Y. Selective Cell-Cell Adhesion Regulation via Cyclic Mechanical Deformation Induced by Ultrafast Nanovibrations. ACS APPLIED MATERIALS & INTERFACES 2023. [PMID: 37751467 DOI: 10.1021/acsami.3c08941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/28/2023]
Abstract
The adoption of dynamic mechanomodulation to regulate cellular behavior is an alternative to the use of chemical drugs, allowing spatiotemporal control. However, cell-selective targeting of mechanical stimuli is challenging due to the lack of strategies with which to convert macroscopic mechanical movements to different cellular responses. Here, we designed a nanoscale vibrating surface that controls cell behavior via selective repetitive cell deformation based on a poroelastic cell model. The vibrating indentations induce repetitive water redistribution in the cells with water redistribution rates faster than the vibrating rate; however, in the opposite case, cells perceive the vibrations as a one-time stimulus. The selective regulation of cell-cell adhesion through adjusting the frequency of nanovibration was demonstrated by suppression of cadherin expression in smooth muscle cells (fast water redistribution rate) with no change in vascular endothelial cells (slow water redistribution rate). This technique may provide a new strategy for cell-type-specific mechanical stimulation.
Collapse
Affiliation(s)
- Young Ju Son
- Center for Biomaterials, Biomedical Research Division, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea
| | - Changjoon Keum
- Center for Advanced Biomolecular Recognition, Biomedical Research Division, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea
| | - Minsoo Kim
- Center for Advanced Biomolecular Recognition, Biomedical Research Division, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea
- Department of Chemistry, Hanyang University, Seoul 04763, Republic of Korea
| | - Goeen Jeong
- Center for Biomaterials, Biomedical Research Division, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea
- Department of Materials Science and Engineering, Seoul National University, Seoul 08826, Republic of Korea
| | - Soyeong Jin
- Center for Advanced Biomolecular Recognition, Biomedical Research Division, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea
- Department of Chemistry, Hanyang University, Seoul 04763, Republic of Korea
| | - Hae Won Hwang
- Center for Biomaterials, Biomedical Research Division, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea
- Department of Materials Science and Engineering, Seoul National University, Seoul 08826, Republic of Korea
| | - Hyewon Kim
- Center for Biomaterials, Biomedical Research Division, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea
| | - Kyungwoo Lee
- Center for Biomaterials, Biomedical Research Division, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea
| | - Hojeong Jeon
- Center for Biomaterials, Biomedical Research Division, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea
- KU-KIST Graduate School of Converging Science and Technology, Korea University, Seoul 02841, Republic of Korea
| | - Hojun Kim
- Center for Advanced Biomolecular Recognition, Biomedical Research Division, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea
- Division of Bio-Medical Science and Technology, KIST School, Korea University of Science and Technology, Seoul 02792, Republic of Korea
| | - Ki Joo Pahk
- Department of Biomedical Engineering, Kyung Hee University, Yongin 17104, Republic of Korea
| | - Ho Won Jang
- Department of Materials Science and Engineering, Seoul National University, Seoul 08826, Republic of Korea
| | - Jeong-Yun Sun
- Department of Materials Science and Engineering, Seoul National University, Seoul 08826, Republic of Korea
| | - Hyung-Seop Han
- Center for Biomaterials, Biomedical Research Division, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea
- Division of Bio-Medical Science and Technology, KIST School, Korea University of Science and Technology, Seoul 02792, Republic of Korea
| | - Kwan Hyi Lee
- Center for Advanced Biomolecular Recognition, Biomedical Research Division, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea
- KU-KIST Graduate School of Converging Science and Technology, Korea University, Seoul 02841, Republic of Korea
- Division of Bio-Medical Science and Technology, KIST School, Korea University of Science and Technology, Seoul 02792, Republic of Korea
| | - Myoung-Ryul Ok
- Center for Biomaterials, Biomedical Research Division, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea
- Division of Bio-Medical Science and Technology, KIST School, Korea University of Science and Technology, Seoul 02792, Republic of Korea
| | - Yu-Chan Kim
- Center for Biomaterials, Biomedical Research Division, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea
- Division of Bio-Medical Science and Technology, KIST School, Korea University of Science and Technology, Seoul 02792, Republic of Korea
| | - Youngdo Jeong
- Center for Advanced Biomolecular Recognition, Biomedical Research Division, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea
- Department of HY-KIST Bio-convergence, Hanyang University, Seoul 04763, Republic of Korea
- Division of Bio-Medical Science and Technology, KIST School, Korea University of Science and Technology, Seoul 02792, Republic of Korea
| |
Collapse
|
2
|
Lal K, Jaywant SA, Arif KM. Electrochemical and Optical Sensors for Real-Time Detection of Nitrate in Water. SENSORS (BASEL, SWITZERLAND) 2023; 23:7099. [PMID: 37631636 PMCID: PMC10457996 DOI: 10.3390/s23167099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Revised: 08/06/2023] [Accepted: 08/06/2023] [Indexed: 08/27/2023]
Abstract
The health and integrity of our water sources are vital for the existence of all forms of life. However, with the growth in population and anthropogenic activities, the quality of water is being impacted globally, particularly due to a widespread problem of nitrate contamination that poses numerous health risks. To address this issue, investigations into various detection methods for the development of in situ real-time monitoring devices have attracted the attention of many researchers. Among the most prominent detection methods are chromatography, colorimetry, electrochemistry, and spectroscopy. While all these methods have their pros and cons, electrochemical and optical methods have emerged as robust and efficient techniques that offer cost-effective, accurate, sensitive, and reliable measurements. This review provides an overview of techniques that are ideal for field-deployable nitrate sensing applications, with an emphasis on electrochemical and optical detection methods. It discusses the underlying principles, recent advances, and various measurement techniques. Additionally, the review explores the current developments in real-time nitrate sensors and discusses the challenges of real-time implementation.
Collapse
Affiliation(s)
| | | | - Khalid Mahmood Arif
- Department of Mechanical and Electrical Engineering, SF&AT, Massey University, Auckland 0632, New Zealand; (K.L.); (S.A.J.)
| |
Collapse
|
3
|
Didier CM, Orrico JF, Cepeda Torres OS, Castro JM, Baksh A, Rajaraman S. Microfabricated polymer-metal biosensors for multifarious data collection from electrogenic cellular models. MICROSYSTEMS & NANOENGINEERING 2023; 9:22. [PMID: 36875634 PMCID: PMC9974480 DOI: 10.1038/s41378-023-00488-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 12/19/2022] [Accepted: 01/09/2023] [Indexed: 05/28/2023]
Abstract
Benchtop tissue cultures have become increasingly complex in recent years, as more on-a-chip biological technologies, such as microphysiological systems (MPS), are developed to incorporate cellular constructs that more accurately represent their respective biological systems. Such MPS have begun facilitating major breakthroughs in biological research and are poised to shape the field in the coming decades. These biological systems require integrated sensing modalities to procure complex, multiplexed datasets with unprecedented combinatorial biological detail. In this work, we expanded upon our polymer-metal biosensor approach by demonstrating a facile technology for compound biosensing that was characterized through custom modeling approaches. As reported herein, we developed a compound chip with 3D microelectrodes, 3D microfluidics, interdigitated electrodes (IDEs) and a microheater. The chip was subsequently tested using the electrical/electrochemical characterization of 3D microelectrodes with 1 kHz impedance and phase recordings and IDE-based high-frequency (~1 MHz frequencies) impedimetric analysis of differential localized temperature recordings, both of which were modeled through equivalent electrical circuits for process parameter extraction. Additionally, a simplified antibody-conjugation strategy was employed for a similar IDE-based analysis of the implications of a key analyte (l-glutamine) binding to the equivalent electrical circuit. Finally, acute microfluidic perfusion modeling was performed to demonstrate the ease of microfluidics integration into such a polymer-metal biosensor platform for potential complimentary localized chemical stimulation. Overall, our work demonstrates the design, development, and characterization of an accessibly designed polymer-metal compound biosensor for electrogenic cellular constructs to facilitate comprehensive MPS data collection.
Collapse
Affiliation(s)
- Charles M. Didier
- NanoScience Technology Center, University of Central Florida, 4353 Scorpius Street, Research I, Suite 231, FL 32816 Orlando, USA
- Burnett School of Biomedical Sciences, University of Central Florida, 6900 Lake Nona Blvd, FL 32827 Orlando, USA
| | - Julia F. Orrico
- NanoScience Technology Center, University of Central Florida, 4353 Scorpius Street, Research I, Suite 231, FL 32816 Orlando, USA
| | - Omar S. Cepeda Torres
- NanoScience Technology Center, University of Central Florida, 4353 Scorpius Street, Research I, Suite 231, FL 32816 Orlando, USA
- Department of Biomedical Engineering, Polytechnic University of Puerto Rico, 377, 00918, Ponce de Leon, San Juan, Puerto Rico
| | - Jorge Manrique Castro
- NanoScience Technology Center, University of Central Florida, 4353 Scorpius Street, Research I, Suite 231, FL 32816 Orlando, USA
- Department of Electrical and Computer Engineering, University of Central Florida, 4238 Scorpius Street, FL 32816 Orlando, USA
| | - Aliyah Baksh
- NanoScience Technology Center, University of Central Florida, 4353 Scorpius Street, Research I, Suite 231, FL 32816 Orlando, USA
| | - Swaminathan Rajaraman
- NanoScience Technology Center, University of Central Florida, 4353 Scorpius Street, Research I, Suite 231, FL 32816 Orlando, USA
- Burnett School of Biomedical Sciences, University of Central Florida, 6900 Lake Nona Blvd, FL 32827 Orlando, USA
- Department of Electrical and Computer Engineering, University of Central Florida, 4238 Scorpius Street, FL 32816 Orlando, USA
- Department of Materials Science and Engineering, University of Central Florida, 12760 Pegasus Drive, Engineering I, Suite 207, FL 32816 Orlando, USA
| |
Collapse
|
4
|
Shoute LCT, Abdelrasoul GN, Ma Y, Duarte PA, Edwards C, Zhuo R, Zeng J, Feng Y, Charlton CL, Kanji JN, Babiuk S, Chen J. Label-free impedimetric immunosensor for point-of-care detection of COVID-19 antibodies. MICROSYSTEMS & NANOENGINEERING 2023; 9:3. [PMID: 36597510 PMCID: PMC9805445 DOI: 10.1038/s41378-022-00460-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 09/06/2022] [Accepted: 09/25/2022] [Indexed: 05/28/2023]
Abstract
The COVID-19 pandemic has posed enormous challenges for existing diagnostic tools to detect and monitor pathogens. Therefore, there is a need to develop point-of-care (POC) devices to perform fast, accurate, and accessible diagnostic methods to detect infections and monitor immune responses. Devices most amenable to miniaturization and suitable for POC applications are biosensors based on electrochemical detection. We have developed an impedimetric immunosensor based on an interdigitated microelectrode array (IMA) to detect and monitor SARS-CoV-2 antibodies in human serum. Conjugation chemistry was applied to functionalize and covalently immobilize the spike protein (S-protein) of SARS-CoV-2 on the surface of the IMA to serve as the recognition layer and specifically bind anti-spike antibodies. Antibodies bound to the S-proteins in the recognition layer result in an increase in capacitance and a consequent change in the impedance of the system. The impedimetric immunosensor is label-free and uses non-Faradaic impedance with low nonperturbing AC voltage for detection. The sensitivity of a capacitive immunosensor can be enhanced by simply tuning the ionic strength of the sample solution. The device exhibits an LOD of 0.4 BAU/ml, as determined from the standard curve using WHO IS for anti-SARS-CoV-2 immunoglobulins; this LOD is similar to the corresponding LODs reported for all validated and established commercial assays, which range from 0.41 to 4.81 BAU/ml. The proof-of-concept biosensor has been demonstrated to detect anti-spike antibodies in sera from patients infected with COVID-19 within 1 h. Photolithographically microfabricated interdigitated microelectrode array sensor chips & label-free impedimetric detection of COVID-19 antibody.
Collapse
Affiliation(s)
- Lian C. T. Shoute
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB T6G 2V4 Canada
| | - Gaser N. Abdelrasoul
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB T6G 2V4 Canada
| | - Yuhao Ma
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB T6G 2V4 Canada
| | - Pedro A. Duarte
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB T6G 2V4 Canada
| | - Cole Edwards
- Public Health Laboratory, Alberta Precision Laboratories, Edmonton, AB Canada
| | - Ran Zhuo
- Public Health Laboratory, Alberta Precision Laboratories, Edmonton, AB Canada
| | - Jie Zeng
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB T6G 2V4 Canada
| | - Yiwei Feng
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB T6G 2V4 Canada
| | - Carmen L. Charlton
- Public Health Laboratory, Alberta Precision Laboratories, Edmonton, AB Canada
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB T6G 2B7 Canada
- Li Ka Shing Institute for Virology, University of Alberta, Edmonton, AB Canada
| | - Jamil N. Kanji
- Public Health Laboratory, Alberta Precision Laboratories, Edmonton, AB Canada
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB T6G 2B7 Canada
- Division of Infectious Diseases, Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB Canada
- Department of Pathology & Laboratory Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB Canada
| | - Shawn Babiuk
- National Centre for Foreign Animal Disease, Canadian Food Inspection Agency, Winnipeg, MB Canada
- Department of Immunology, University of Manitoba, Winnipeg, MB Canada
| | - Jie Chen
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB T6G 2V4 Canada
- Department of Biomedical Engineering, University of Alberta, Edmonton, AB T6G 2R3 Canada
| |
Collapse
|
5
|
Ma Y, To D, Zeng J, Shoute LCT, Wu M, Babiuk S, Zhuo R, Charlton C, Kanji JN, Babiuk L, Chen J. Improving immunoassay detection accuracy of anti-SARS-CoV-2 antibodies through dual modality validation. BIOSENSORS & BIOELECTRONICS: X 2022; 11:100176. [PMID: 35692737 PMCID: PMC9167148 DOI: 10.1016/j.biosx.2022.100176] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 05/16/2022] [Accepted: 05/29/2022] [Indexed: 06/15/2023]
Abstract
A novel test strategy is proposed with dual-modality detection techniques for COVID-19 antibody detection. The full-length S protein of SARS-CoV-2 was chemically immobilized on a glass surface to capture anti-SARS-CoV-2 IgG in patient serum and was detected through either Electrochemical Impedance Spectroscopy (EIS) or fluorescence imaging with labeled secondary antibodies. Gold nanoparticles conjugated with protein G were used as the probe and the bound GNP-G was detected through EIS measurements. Anti-human-IgG conjugated with the fluorescent tag Alexa Fluor 488 was used as the probe for fluorescence imaging. Clinical SARS-CoV-2 IgG positive serum and negative controls were used to validate both modalities. For fluorescence-based detection, a high sensitivity was noticed with a quantification range of 0.01-0.1 A.U.C. and a LOD of 0.004 A.U.C. This study demonstrates the possibility of utilizing different measurement techniques in conjunction for improved COVID-19 serology testing.
Collapse
Affiliation(s)
- Yuhao Ma
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, T6G 2V4, Canada
| | - Daniel To
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, T6G 2V4, Canada
| | - Jie Zeng
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, T6G 2V4, Canada
| | - Lian C T Shoute
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, T6G 2V4, Canada
| | - Meng Wu
- Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB, T6G 2R3, Canada
| | - Shawn Babiuk
- National Centre for Foreign Animal Disease, Canadian Food Inspection Agency, Winnipeg, MB, Canada
- Department of Immunology, University of Manitoba, Winnipeg, MB, Canada
| | - Ran Zhuo
- Public Health Laboratory, Alberta Precision Laboratories, Calgary, AB, Canada
| | - Carmen Charlton
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, T6G 2B7, Canada
- Public Health Laboratory, Alberta Precision Laboratories, Calgary, AB, Canada
- Li Ka Shing Institute for Virology, University of Alberta, Edmonton, AB, Canada
| | - Jamil N Kanji
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, T6G 2B7, Canada
- Public Health Laboratory, Alberta Precision Laboratories, Calgary, AB, Canada
- Division of Infectious Diseases, Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Pathology & Laboratory Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Lorne Babiuk
- Vaccine and Infectious Disease Organization, University of Alberta, Edmonton, AB, Canada
| | - Jie Chen
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, T6G 2V4, Canada
- Department of Biomedical Engineering, University of Alberta, Edmonton, AB T6G 2V2, Canada
| |
Collapse
|
6
|
A gold nanoparticle-protein G electrochemical affinity biosensor for the detection of SARS-CoV-2 antibodies: a surface modification approach. Sci Rep 2022; 12:12850. [PMID: 35896795 PMCID: PMC9328775 DOI: 10.1038/s41598-022-17219-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 07/21/2022] [Indexed: 11/08/2022] Open
Abstract
As COVID-19 waves continue to spread worldwide, demand for a portable, inexpensive and convenient biosensor to determine community immune/infection status is increasing. Here we describe an impedance-based affinity biosensor using Interdigitated Electrode (IDE) arrays to detect antibodies to SARS-CoV-2 in serum. We created the biosensor by functionalizing the IDEs' surface with abaculaovirus-expressed and purified Spike (S) protein to bind anti-SARS CoV-2antibodies. Gold nanoparticles (GNP) fused to protein G were used to probe for bound antibodies. An ELISA assay using horseradish peroxidase-protein G to probe for bound IgG confirmed that the purified S protein bound a commercial source of anti-SARS-CoV-2 antibodies specifically and bound anti-SARS-CoV-2 antibodies in COVID-19 positive serum. Then we demonstrated that our biosensor could detect anti-SARS-CoV-2 antibodies with 72% sensitivity in 2 h. Using GNP-protein G, the affinity biosensor had increased impedance changes with COVID-19positive serum and minimal or decreased impedance changes with negative serum. This demonstrated that our biosensor could discriminate between COVID-19 positive and negative sera, which were further improved using poly(vinyl alcohol)as a blocking agent.
Collapse
|
7
|
Zeng J, Duarte PA, Ma Y, Savchenko O, Shoute L, Khaniani Y, Babiuk S, Zhuo R, Abdelrasoul GN, Charlton C, Kanji JN, Babiuk L, Edward C, Chen J. An impedimetric biosensor for COVID-19 serology test and modification of sensor performance via dielectrophoresis force. Biosens Bioelectron 2022; 213:114476. [PMID: 35716642 PMCID: PMC9186431 DOI: 10.1016/j.bios.2022.114476] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 06/06/2022] [Accepted: 06/08/2022] [Indexed: 11/29/2022]
Abstract
Coronavirus disease 2019 (COVID-19) has caused significant global morbidity and mortality. The serology test that detects antibodies against the disease causative agent, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has often neglected value in supporting immunization policies and therapeutic decision-making. The ELISA-based antibody test is time-consuming and bulky. This work described a gold micro-interdigitated electrodes (IDE) biosensor for COVID antibody detection based on Electrochemical Impedance Spectroscopy (EIS) responses. The IDE architecture allows easy surface modification with the viral structure protein, Spike (S) protein, in the gap of the electrode digits to selectively capture anti-S antibodies in buffer solutions or human sera. Two strategies were employed to resolve the low sensitivity issue of non-faradic impedimetric sensors and the sensor fouling phenomenon when using the serum. One uses secondary antibody-gold nanoparticle (AuNP) conjugates to further distinguish anti-S antibodies from the non-specific binding and obtain a more significant impedance change. The second strategy consists of increasing the concentration of target antibodies in the gap of IDEs by inducing an AC electrokinetic effect such as dielectrophoresis (DEP). AuNP and DEP methods reached a limit of detection of 200 ng/mL and 2 μg/mL, respectively using purified antibodies in buffer, while the DEP method achieved a faster testing time of only 30 min. Both strategies could qualitatively distinguish COVID-19 antibody-positive and -negative sera. Our work, especially the impedimetric detection of COVID-19 antibodies under the assistance of the DEP force presents a promising path toward rapid, point-of-care solutions for COVID-19 serology tests.
Collapse
Affiliation(s)
- Jie Zeng
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada
| | - Pedro A Duarte
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada
| | - Yuhao Ma
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada
| | - Oleksandra Savchenko
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada
| | - Lian Shoute
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada
| | - Yeganeh Khaniani
- Department of Biological Sciences, University of Alberta, Edmonton, Canada
| | - Shawn Babiuk
- Canadian Food Inspection Agency, National Centre for Foreign Animal Disease, Winnipeg, Canada
| | - Ran Zhuo
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, T6G 2B7, Canada
| | - Gaser N Abdelrasoul
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada
| | - Carmen Charlton
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, T6G 2B7, Canada; Public Health Laboratory, Alberta Precision Laboratories, Calgary, AB, Canada; Li Ka Shing Institute for Virology, University of Alberta, Edmonton, AB, Canada
| | - Jamil N Kanji
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, T6G 2B7, Canada; Public Health Laboratory, Alberta Precision Laboratories, Calgary, AB, Canada; Division of Infectious Diseases, Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada; Department of Pathology & Laboratory Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Lorne Babiuk
- Vaccine and Infectious Disease Organization, University of Alberta, Edmonton, AB, Canada
| | - Cole Edward
- Public Health Laboratory, Alberta Precision Laboratories, Calgary, AB, Canada
| | - Jie Chen
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada; Department of Biomedical Engineering, University of Alberta, Edmonton, Canada.
| |
Collapse
|
8
|
Abdelrasoul GN, MacKay S, Salim SY, Ismond KP, Tamura M, Khalifa C, Mannan E, Lin D, Mandal T, Montgomery RR, Wishart DS, Chen J, Khadaroo RG. Non-invasive Point-of-Care Device To Diagnose Acute Mesenteric Ischemia. ACS Sens 2018; 3:2296-2302. [PMID: 30335977 DOI: 10.1021/acssensors.8b00558] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Inadequate blood supply to the intestine can lead to acute mesenteric ischemia (AMI), with a mortality rate ranging from 60% to 90%. This high mortality rate is partially due to late detection and the lack of efficient early diagnostic tests. There is an urgent need for a point-of-care tool for immediate bedside diagnosis. Here we present for the first time a rapid and non-invasive electrochemical biosensor device based on non-faradic impedance spectroscopy to detect intestinal fatty-acid binding protein (I-FABP) as an indication of AMI. The electrochemical biosensors consist of gold interdigitated electrodes that were fabricated using photolithographic techniques on top of silicon dioxide substrates. The electrode surfaces were functionalized with an I-FABP capture antibody (CAnB) to entice the target protein, while gold nanoparticles (GNPs) functionalized with detection antibodies (DAnB-GNPs) were utilized as a novel mechanism to enhance the detection signal. Quantification of the I-FABP concentration in the medium depended on its attachment to CAnB and DAnB-GNPs in a sandwich manner, where the latter boosts the impedance signal through its binding to the I-FABP. This non-invasive non-faradic electric biosensor device demonstrates the potential for bench-to-bedside translation with the goal of decreasing morbidity and mortality from AMI.
Collapse
Affiliation(s)
- Gaser N. Abdelrasoul
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta T6G 1H9, Canada
| | - Scott MacKay
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta T6G 1H9, Canada
| | - Saad Y. Salim
- Department of Surgery, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta T6G 2B7, Canada
| | - Kathleen P. Ismond
- Department of Medicine, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta T6G 2G3, Canada
| | - Marcus Tamura
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta T6G 1H9, Canada
| | - Charfeddine Khalifa
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta T6G 1H9, Canada
| | - Emma Mannan
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta T6G 1H9, Canada
| | - Donghai Lin
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta T6G 1H9, Canada
| | - Tanushree Mandal
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta T6G 1H9, Canada
| | - Ruth R. Montgomery
- Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut 06510, United States
| | - David S. Wishart
- Department of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada
- Department of Computing Science, University of Alberta, Edmonton, Alberta T6G 2E8, Canada
| | - Jie Chen
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta T6G 1H9, Canada
| | - Rachel G. Khadaroo
- Department of Surgery, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta T6G 2B7, Canada
| |
Collapse
|