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Zhang Z, Yuan H, Ni R, Yin J, Li M, Yang P, Cao X, Zhou J, Su X, Chen Y, Gao W, Jin Q. Minute level ultra-rapid and thousand copies level high-sensitive pathogen nucleic acid identification based on contactless impedance detection microsensor. Talanta 2024; 278:126487. [PMID: 39002258 DOI: 10.1016/j.talanta.2024.126487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 04/21/2024] [Accepted: 06/28/2024] [Indexed: 07/15/2024]
Abstract
Early screening for pathogens is crucial during pandemic outbreaks. Nucleic acid testing (NAT) is a valuable method for keeping pathogens from spreading. However, the long detection time and large size of the instruments involved significantly limited the efficiency of detection. This work described an integrated NAT microsensor that facilitated rapid and extremely sensitive detection based on nucleic acid amplification (NAA) on a chip. The biochip consisted of two layers incorporating a heater, a thermometer, an interdigital electrode (IDE) and a reaction chamber. The Pt electrode based heater and thermometer were utilized to maintain a specific temperature for the sample in the chamber. The thermometer exhibited a good linear correlation with a sensitivity of 9.36 Ω/°C and the heater achieved a heating efficiency of approximately 6.5 °C/s. Multiple ions were released during NAA, resulting in a decrease in the impedance of the amplification system solution. A large signal of impedance was generated by the released ions due to its linear correlation with the logarithm of the ion concentration. With this detection principle, IDE was employed for real-time monitoring of the in-chip reaction system impedance and NAA process. Specific nucleic acids from two pathogens (SARS-CoV-2, Vibrio vulnificus) were detected with this microsensor. The samples were qualitatively analyzed on microchip within 3 min, with a limit of detection (LOD) of 103 copies/μL. The proposed sensor presented several advantages, including reduced NAT time and increased sensitivity. Consequently, it has shown significant potential in rapid and high-quality nucleic acid testing for the field of epidemic prevention.
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Affiliation(s)
- Zhikang Zhang
- The Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, 315211, Zhejiang, China; State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China
| | - Haojun Yuan
- The Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, 315211, Zhejiang, China; State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China
| | - Renhao Ni
- Health Science Center, Ningbo University, Ningbo, 315211, Zhejiang, China
| | - Jiawen Yin
- The Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, 315211, Zhejiang, China
| | - Min Li
- The Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, 315211, Zhejiang, China
| | - Panhui Yang
- The Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, 315211, Zhejiang, China
| | - Xinyi Cao
- The Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, 315211, Zhejiang, China
| | - Jun Zhou
- School of Marine Science, Ningbo University, Ningbo, 315211, Zhejiang, China
| | - Xiurong Su
- School of Marine Science, Ningbo University, Ningbo, 315211, Zhejiang, China
| | - Yongbin Chen
- Beilun People's Hospital, Beilun Branch of the First Affiliated Hospital, School of Medicine, Zhejiang University, 315800, Ningbo, Zhejiang, China
| | - Wanlei Gao
- The Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, 315211, Zhejiang, China; State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China.
| | - Qinghui Jin
- The Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, 315211, Zhejiang, China; State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China.
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Ming T, Lan T, Yu M, Cheng S, Duan X, Wang H, Deng J, Kong D, Yang S, Shen Z. Advancements in Biosensors for Point-of-Care Testing of Nucleic Acid. Crit Rev Anal Chem 2024:1-16. [PMID: 38889541 DOI: 10.1080/10408347.2024.2366943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/20/2024]
Abstract
Rapid, low-cost and high-specific diagnosis based on nucleic acid detection is pivotal in both detecting and controlling various infectious diseases, effectively curbing their spread. Moreover, the analysis of circulating DNA in whole blood has emerged as a promising noninvasive strategy for cancer diagnosis and monitoring. Although traditional nucleic acid detection methods are reliable, their time-consuming and intricate processes restrict their application in rapid field assays. Consequently, an urgent emphasis on point-of-care testing (POCT) of nucleic acids has arisen. POCT enables timely and efficient detection of specific sequences, acting as a deterrent against infection sources and potential tumor threats. To address this imperative need, it is essential to consolidate key aspects and chart future directions in POCT biosensors development. This review aims to provide an exhaustive and meticulous analysis of recent advancements in POCT devices for nucleic acid diagnosis. It will comprehensively compare these devices across crucial dimensions, encompassing their integrated structures, the synthesized nanomaterials harnessed, and the sophisticated detection principles employed. By conducting a rigorous evaluation of the current research landscape, this review will not only spotlight achievements but also identify limitations, offering valuable insights into the future trajectory of nucleic acid POCT biosensors. Through this comprehensive analysis, the review aspires to serve as an indispensable guide for fostering the development of more potent biosensors, consequently fostering precise and efficient POCT applications for nucleic acids.
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Affiliation(s)
- Tao Ming
- Institute of Transplantation Medicine, School of Medicine, Nankai University, Tianjin, China
| | - Tingting Lan
- Institute of Transplantation Medicine, School of Medicine, Nankai University, Tianjin, China
| | - Mingxing Yu
- Institute of Transplantation Medicine, School of Medicine, Nankai University, Tianjin, China
| | - Shuhan Cheng
- Institute of Transplantation Medicine, School of Medicine, Nankai University, Tianjin, China
| | - Xu Duan
- Institute of Transplantation Medicine, School of Medicine, Nankai University, Tianjin, China
| | - Hong Wang
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Juan Deng
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Deling Kong
- Institute of Transplantation Medicine, School of Medicine, Nankai University, Tianjin, China
| | - Shuang Yang
- Institute of Transplantation Medicine, School of Medicine, Nankai University, Tianjin, China
| | - Zhongyang Shen
- Institute of Transplantation Medicine, School of Medicine, Nankai University, Tianjin, China
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Cirrincione M, Downing M, Leite K, Dolphin S, Samuta A, Schermer M, Noble K, Walsh B. Assessment of Reader Technologies for Over-the-Counter Diagnostic Testing. IEEE OPEN JOURNAL OF ENGINEERING IN MEDICINE AND BIOLOGY 2024; 5:210-215. [PMID: 38606399 PMCID: PMC11008808 DOI: 10.1109/ojemb.2024.3355701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 12/29/2023] [Accepted: 01/15/2024] [Indexed: 04/13/2024] Open
Abstract
Background: Over-the-counter (OTC) diagnostic testing is on the rise with many in vitro diagnostic tests being lateral flow assays (LFAs). A growing number of these are adopting reader technologies, which provides an alternative to visual readouts for results interpretation, allowing for improved accessibility of OTC diagnostics. As the reader technology market develops, there are many technologies entering the market, but no clear, single solution has yet been identified. The purpose of this research is to identify and discuss important parameters for the assessment of LFA reader technologies for consideration by manufacturers or researchers. Methods: As part of The National Institute of Biomedical Imaging and Bioengineering's Rapid Acceleration of Diagnostics (RADx) Tech program, reader manufacturers were interviewed to investigate the current state of reader technology development through several parameters identified as important industry standards. Readers were categorized by technology type and parameters including cost, detection method, multiplex capabilities, assay type, maturity, and use case were all assessed. Results: Fifteen reader manufacturers were identified and interviewed, and information on a total of 19 technologies was assessed. Reader technology type was found to be predictive of other attributes, whether the reader is smart technology only, a standalone reader, a reader with smart technology required, or a reader with smart technology optional. Conclusions: Pairing reader technology with OTC diagnostic tests is important for improving existing COVID-19 tests and can be utilized in other diagnostics as the OTC use case grows in popularity. Reader technology type, which is predictive of core reader attributes, should be considered when selecting a reader technology for a specific LFA test within the context of regulatory guidance. As diagnostics increase in complexity, readers provide solutions to accessibility challenges, facilitate public health reporting, and ease the transition to multiplex testing, therefore increasing market availability.
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Chen LC, Li MC, Chen KR, Cheng YJ, Wu XY, Chen SA, Youh MJ, Kuo CC, Lin YX, Lin CY, Wang CF, Huang CF, Lin SY, Wang WH, Chen YH, Yu ML, Thitithanyanont A, Wang SF, Su LC. Facile and Unplugged Surface Plasmon Resonance Biosensor with NIR-Emitting Perovskite Nanocomposites for Fast Detection of SARS-CoV-2. Anal Chem 2023; 95:7186-7194. [PMID: 37103881 PMCID: PMC10152400 DOI: 10.1021/acs.analchem.2c05661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 04/11/2023] [Indexed: 04/28/2023]
Abstract
The emergence of the coronavirus disease 2019 (COVID-19) pandemic prompted researchers to develop portable biosensing platforms, anticipating to detect the analyte in a label-free, direct, and simple manner, for deploying on site to prevent the spread of the infectious disease. Herein, we developed a facile wavelength-based SPR sensor built with the aid of a 3D printing technology and synthesized air-stable NIR-emitting perovskite nanocomposites as the light source. The simple synthesis processes for the perovskite quantum dots enabled low-cost and large-area production and good emission stability. The integration of the two technologies enabled the proposed SPR sensor to exhibit the characteristics of lightweight, compactness, and being without a plug, just fitting the requirements of on-site detection. Experimentally, the detection limit of the proposed NIR SPR biosensor for refractive index change reached the 10-6 RIU level, comparable with that of state-of-the-art portable SPR sensors. In addition, the bio-applicability of the platform was validated by incorporating a homemade high-affinity polyclonal antibody toward the SARS-CoV-2 spike protein. The results demonstrated that the proposed system was capable of discriminating between clinical swab samples collected from COVID-19 patients and healthy subjects because the used polyclonal antibody exhibited high specificity against SARS-CoV-2. Most importantly, the whole measurement process not only took less than 15 min but also needed no complex procedures or multiple reagents. We believe that the findings disclosed in this work can open an avenue in the field of on-site detection for highly pathogenic viruses.
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Affiliation(s)
- Lung-Chien Chen
- Department of Electro-Optical Engineering,
National Taipei University of Technology, Taipei 10608,
Taiwan
| | - Meng-Chi Li
- Thin Film Technology Center, National
Central University, Taoyuan 32001, Taiwan
- Optical Sciences Center, National Central
University, Taoyuan 32001, Taiwan
| | - Kai-Ren Chen
- Department of Optics and Photonics,
National Central University, Taoyuan 32001,
Taiwan
| | - Yu-Jui Cheng
- Department of Electronic Engineering,
Ming Chi University of Technology, New Taipei City 24301,
Taiwan
| | - Xun-Ying Wu
- Department of Mechanical Engineering, Ming Chi
University of Technology, New Taipei City 24301,
Taiwan
| | - Sih-An Chen
- Department of Electro-Optical Engineering,
National Taipei University of Technology, Taipei 10608,
Taiwan
| | - Meng-Jey Youh
- Department of Mechanical Engineering, Ming Chi
University of Technology, New Taipei City 24301,
Taiwan
| | - Chien-Cheng Kuo
- Thin Film Technology Center, National
Central University, Taoyuan 32001, Taiwan
- Department of Optics and Photonics,
National Central University, Taoyuan 32001,
Taiwan
| | - Yu-Xen Lin
- TeraOptics Corporation,
Taoyuan 32472, Taiwan
| | - Chih-Yen Lin
- Center for Tropical Medicine and Infectious Disease
Research, Kaohsiung Medical University, Kaohsiung 80708,
Taiwan
- Department of Medical Laboratory Science and
Biotechnology, Kaohsiung Medical University, Kaohsiung 80708,
Taiwan
| | - Chu-Feng Wang
- Clinical Microbiology Laboratory, Department of
Laboratory Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical
University, Kaohsiung 80708, Taiwan
| | - Chung-Feng Huang
- Hepatobiliary Division, Department of
Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical
University, Kaohsiung 80708, Taiwan
- Ph.D. Program in Translational Medicine,
College of Medicine, Kaohsiung Medical University, Kaohsiung, and Academia
Sinica, Kaohsiung 80708, Taiwan
- Faculty of Internal Medicine and Hepatitis
Research Center, College of Medicine, and Center for Cohort Study, Kaohsiung
Medical University, Kaohsiung 80708, Taiwan
| | - Shang-Yi Lin
- Clinical Microbiology Laboratory, Department of
Laboratory Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical
University, Kaohsiung 80708, Taiwan
- Division of Infectious Disease, Department of
Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical
University, Kaohsiung 80708, Taiwan
| | - Wen-Hung Wang
- School of Medicine, College of Medicine,
National Sun Yat-Sen University, Kaohsiung 80424,
Taiwan
| | - Yen-Hsu Chen
- Center for Tropical Medicine and Infectious Disease
Research, Kaohsiung Medical University, Kaohsiung 80708,
Taiwan
- Division of Infectious Disease, Department of
Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical
University, Kaohsiung 80708, Taiwan
- School of Medicine, College of Medicine,
National Sun Yat-Sen University, Kaohsiung 80424,
Taiwan
| | - Ming-Lung Yu
- Hepatobiliary Division, Department of
Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical
University, Kaohsiung 80708, Taiwan
- School of Medicine, College of Medicine,
National Sun Yat-Sen University, Kaohsiung 80424,
Taiwan
| | - Arunee Thitithanyanont
- Department of Microbiology, Faculty of Science,
Mahidol University, Bangkok 10400,
Thailand
| | - Sheng-Fan Wang
- Center for Tropical Medicine and Infectious Disease
Research, Kaohsiung Medical University, Kaohsiung 80708,
Taiwan
- Department of Medical Laboratory Science and
Biotechnology, Kaohsiung Medical University, Kaohsiung 80708,
Taiwan
- Department of Medical Research,
Kaohsiung Medical University Hospital, Kaohsiung Medical
University, Kaohsiung 80708, Taiwan
| | - Li-Chen Su
- General Education Center, Ming
Chi University of Technology, New Taipei City 24301,
Taiwan
- Organic Electronics Research Center,
Ming Chi University of Technology, New Taipei City 24301,
Taiwan
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Wilson AD, Forse LB. Potential for Early Noninvasive COVID-19 Detection Using Electronic-Nose Technologies and Disease-Specific VOC Metabolic Biomarkers. SENSORS (BASEL, SWITZERLAND) 2023; 23:2887. [PMID: 36991597 PMCID: PMC10054641 DOI: 10.3390/s23062887] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 02/19/2023] [Accepted: 03/03/2023] [Indexed: 06/12/2023]
Abstract
The established efficacy of electronic volatile organic compound (VOC) detection technologies as diagnostic tools for noninvasive early detection of COVID-19 and related coronaviruses has been demonstrated from multiple studies using a variety of experimental and commercial electronic devices capable of detecting precise mixtures of VOC emissions in human breath. The activities of numerous global research teams, developing novel electronic-nose (e-nose) devices and diagnostic methods, have generated empirical laboratory and clinical trial test results based on the detection of different types of host VOC-biomarker metabolites from specific chemical classes. COVID-19-specific volatile biomarkers are derived from disease-induced changes in host metabolic pathways by SARS-CoV-2 viral pathogenesis. The unique mechanisms proposed from recent researchers to explain how COVID-19 causes damage to multiple organ systems throughout the body are associated with unique symptom combinations, cytokine storms and physiological cascades that disrupt normal biochemical processes through gene dysregulation to generate disease-specific VOC metabolites targeted for e-nose detection. This paper reviewed recent methods and applications of e-nose and related VOC-detection devices for early, noninvasive diagnosis of SARS-CoV-2 infections. In addition, metabolomic (quantitative) COVID-19 disease-specific chemical biomarkers, consisting of host-derived VOCs identified from exhaled breath of patients, were summarized as possible sources of volatile metabolic biomarkers useful for confirming and supporting e-nose diagnoses.
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Affiliation(s)
- Alphus Dan Wilson
- Pathology Department, Center for Forest Health & Disturbance, Forest Genetics and Ecosystems Biology, Southern Research Station, USDA Forest Service, Stoneville, MS 38776, USA
| | - Lisa Beth Forse
- Southern Hardwoods Laboratory, Southern Research Station, USDA Forest Service, Stoneville, MS 38776, USA
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