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Chen G, Yang N, Xu L, Lu S, Chen Z, Wu F, Chen J, Zhang X. Base-Stacking-Driven Catalytic Hairpin Assembly: A Nucleic Acid Amplification Reaction Using Electrode Interface as a "Booster" for SARS-CoV-2 Point-of-Care Testing. Anal Chem 2023; 95:15595-15605. [PMID: 37820038 DOI: 10.1021/acs.analchem.3c02577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/13/2023]
Abstract
Electrochemical DNA (E-DNA) biosensors based on interface-mediated hybridization reactions are promising for point-of-care testing (POCT). However, the low efficiency of target recycle amplification and the steric hindrance at the electrode interface limit their sensing performance. Herein, we propose a base-stacking-driven catalytic hairpin assembly (BDCHA), a nucleic acid amplification reaction strategy, for POCT. The introduction of the base-stacking effect in this strategy increases the thermodynamic stability of the product, thereby effectively improving the recycling efficiency. Also, it enables the interface-mediated hybridization to maintain stability with even fewer bases in the reaction-binding domain, hence minimizing DNA secondary structure formation or intertwining at the electrode surface and ameliorating the steric hindrance limitation. The introduced base-stacking effect makes the electrode serve as a "booster" by integrating the advantages of homogeneous and heterogeneous reactions, giving BDCHA an increased reaction rate of about 20-fold, compared to the conventional catalytic hairpin assembly. As a proof of concept, our BDCHA was applied in constructing a portable E-DNA biosensor for the detection of a SARS-CoV-2 N gene sequence fragment. A simple 30 min one-pot incubation is required, and the results can be readily read on a smartphone, making it portable and user-friendly for POCT.
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Affiliation(s)
- Guanyu Chen
- Department of Pharmaceutical Analysis, The School of Pharmacy, Fujian Medical University, Fuzhou, Fujian Province 350122, P. R. China
- Innovative Drug Research Institute, Fujian Medical University, Fuzhou, Fujian Province 350122, P. R. China
- Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, The School of Pharmacy, Fujian Medical University, Fuzhou, Fujian Province 350122, P. R. China
| | - Ning Yang
- Department of Pharmaceutical Analysis, The School of Pharmacy, Fujian Medical University, Fuzhou, Fujian Province 350122, P. R. China
- Innovative Drug Research Institute, Fujian Medical University, Fuzhou, Fujian Province 350122, P. R. China
- Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, The School of Pharmacy, Fujian Medical University, Fuzhou, Fujian Province 350122, P. R. China
| | - Lilan Xu
- Department of Pharmaceutical Analysis, The School of Pharmacy, Fujian Medical University, Fuzhou, Fujian Province 350122, P. R. China
- Innovative Drug Research Institute, Fujian Medical University, Fuzhou, Fujian Province 350122, P. R. China
- Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, The School of Pharmacy, Fujian Medical University, Fuzhou, Fujian Province 350122, P. R. China
| | - Shi Lu
- Department of Pharmaceutical Analysis, The School of Pharmacy, Fujian Medical University, Fuzhou, Fujian Province 350122, P. R. China
- Innovative Drug Research Institute, Fujian Medical University, Fuzhou, Fujian Province 350122, P. R. China
- Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, The School of Pharmacy, Fujian Medical University, Fuzhou, Fujian Province 350122, P. R. China
| | - Zhuhua Chen
- Department of Pharmaceutical Analysis, The School of Pharmacy, Fujian Medical University, Fuzhou, Fujian Province 350122, P. R. China
- Innovative Drug Research Institute, Fujian Medical University, Fuzhou, Fujian Province 350122, P. R. China
- Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, The School of Pharmacy, Fujian Medical University, Fuzhou, Fujian Province 350122, P. R. China
| | - Fang Wu
- Department of Pharmaceutical Analysis, The School of Pharmacy, Fujian Medical University, Fuzhou, Fujian Province 350122, P. R. China
- Innovative Drug Research Institute, Fujian Medical University, Fuzhou, Fujian Province 350122, P. R. China
- Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, The School of Pharmacy, Fujian Medical University, Fuzhou, Fujian Province 350122, P. R. China
| | - Jinghua Chen
- Department of Pharmaceutical Analysis, The School of Pharmacy, Fujian Medical University, Fuzhou, Fujian Province 350122, P. R. China
- Innovative Drug Research Institute, Fujian Medical University, Fuzhou, Fujian Province 350122, P. R. China
- Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, The School of Pharmacy, Fujian Medical University, Fuzhou, Fujian Province 350122, P. R. China
| | - Xi Zhang
- Innovative Drug Research Institute, Fujian Medical University, Fuzhou, Fujian Province 350122, P. R. China
- Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, The School of Pharmacy, Fujian Medical University, Fuzhou, Fujian Province 350122, P. R. China
- Department of Clinical Pharmacy and Pharmacy Administration, The School of Pharmacy, Fujian Medical University, Fuzhou, Fujian Province 350122, P. R. China
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Goswami PP, Bonam S, Jeyaram K, Singh SG. Device-Physics Realization of ZnO-MWCNT Nanostructure-Based Field-Effect Biosensor for Ultrasensitive Simultaneous Genomic Detection of Foodborne Pathogens. Anal Chem 2023; 95:14695-14701. [PMID: 37727978 DOI: 10.1021/acs.analchem.3c02786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/21/2023]
Abstract
The complex and versatile interactions among the wide variety of the nanostructures and the target analytes have primarily limited the detailed investigation of the transduction mechanism of nanomaterial-assisted electrical signal-based biosensors despite their high sensitivity, low-cost, portability, and ease of deployment. Hence, no common ground is formed detailing the principle of operation, demanding a strong need for systematic examination instead of hit and trial. Therefore, a maiden mechanistic investigation has been carried out in this paper for a field-effect-based biosensor device relying on the energy band diagram and the surface potential profile. To demonstrate the experimental evidence and appreciate the importance of food safety, three hazardous foodborne pathogens (Proteus mirabilis, Escherichia coli, and Clostridium botulinum) have been detected herein. The biosensor device, built on a hydrothermally synthesized zinc oxide and MWCNT (ZnO-MWCNT) composite nanostructure, simultaneously incorporates three fairly specific ss-DNA probes. Furthermore, the unmet challenge of biosensor device variability is addressed through the optimum selection of operating voltage of the device via a unique "voltage-selection-algorithm". We believe that the rigorous experimentation and the insightful device-physics realization demonstrated in this work will pave the way for a future decisive biosensor platform.
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Affiliation(s)
- Partha Pratim Goswami
- Department of Electrical Engineering, Indian Institute of Technology, Hyderabad, Telangana 502285, India
| | - Satish Bonam
- Department of Electrical Engineering, Indian Institute of Technology, Hyderabad, Telangana 502285, India
| | - Kumaraswamy Jeyaram
- Institute of Bioresources and Sustainable Development (IBSD), Regional Centre, Gangtok, Sikkim 737102, India
| | - Shiv Govind Singh
- Department of Electrical Engineering, Indian Institute of Technology, Hyderabad, Telangana 502285, India
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Wang Y, Wang C, Zhou Z, Si J, Li S, Zeng Y, Deng Y, Chen Z. Advances in Simple, Rapid, and Contamination-Free Instantaneous Nucleic Acid Devices for Pathogen Detection. BIOSENSORS 2023; 13:732. [PMID: 37504131 PMCID: PMC10377012 DOI: 10.3390/bios13070732] [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: 05/22/2023] [Revised: 07/05/2023] [Accepted: 07/12/2023] [Indexed: 07/29/2023]
Abstract
Pathogenic pathogens invade the human body through various pathways, causing damage to host cells, tissues, and their functions, ultimately leading to the development of diseases and posing a threat to human health. The rapid and accurate detection of pathogenic pathogens in humans is crucial and pressing. Nucleic acid detection offers advantages such as higher sensitivity, accuracy, and specificity compared to antibody and antigen detection methods. However, conventional nucleic acid testing is time-consuming, labor-intensive, and requires sophisticated equipment and specialized medical personnel. Therefore, this review focuses on advanced nucleic acid testing systems that aim to address the issues of testing time, portability, degree of automation, and cross-contamination. These systems include extraction-free rapid nucleic acid testing, fully automated extraction, amplification, and detection, as well as fully enclosed testing and commercial nucleic acid testing equipment. Additionally, the biochemical methods used for extraction, amplification, and detection in nucleic acid testing are briefly described. We hope that this review will inspire further research and the development of more suitable extraction-free reagents and fully automated testing devices for rapid, point-of-care diagnostics.
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Affiliation(s)
- Yue Wang
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou 412007, China
| | - Chengming Wang
- Department of Cardiovascular Medicine, The Affiliated Zhuzhou Hospital Xiangya Medical College, Central South University, Zhuzhou 412000, China
| | - Zepeng Zhou
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou 412007, China
| | - Jiajia Si
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou 412007, China
| | - Song Li
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou 412007, China
| | - Yezhan Zeng
- School of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412007, China
| | - Yan Deng
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou 412007, China
| | - Zhu Chen
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou 412007, China
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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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Goswami PP, Deshpande T, Rotake DR, Singh SG. Near perfect classification of cardiac biomarker Troponin-I in human serum assisted by SnS2-CNT composite, explainable ML, and operating-voltage-selection-algorithm. Biosens Bioelectron 2022; 220:114915. [DOI: 10.1016/j.bios.2022.114915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Revised: 11/03/2022] [Accepted: 11/12/2022] [Indexed: 11/16/2022]
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Supraja P, Tripathy S, Krishna Vanjari SR, Singh SG. Label-free, ultrasensitive and rapid detection of FDA-approved TBI specific UCHL1 biomarker in plasma using MWCNT-PPY nanocomposite as bio-electrical transducer: A step closer to point-of-care diagnosis of TBI. Biosens Bioelectron 2022; 216:114631. [PMID: 35973277 DOI: 10.1016/j.bios.2022.114631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 08/05/2022] [Accepted: 08/07/2022] [Indexed: 11/02/2022]
Abstract
Traumatic Brain Injury (TBI), a major cause of mortality and neurological disability affecting people of all ages worldwide, remains a diagnostic and therapeutic challenge to date. Rapid, ultra-sensitive, selective, and wide-range detection of TBI biomarkers in easily accessible body fluids is an unmet clinical need. Considering this, in this work, we report the design and development of a facile, label-free, highly stable and sensitive, chemi-impedance-based sensing platform for rapid and wide range detection of Ubiquitin-carboxy terminal hydrolase L1 (UCHL1: FDA-approved TBI specific plasma biomarker), using carboxylic functionalized MWCNTs embedded polypyrrole (PPY) nanocomposites (PPY/f-MWCNT). The said nanocomposites were synthesized using chemical oxidative polymerization method. Herein, the functionalized MWCNTs are used as conducting fillers so as to increase the polymer's dielectric constant according to the micro-capacitor model, thereby augmenting both DC electrical conductivity and AC dielectric property of the nanocomposite. The proposed immunosensing platform comprises of PPY/f-MWCNT modified interdigitated microelectrode (IDμEs) array, on which anti-UCHL1-antibodies are immobilized using suitable covalent chemistry. The AC electrical characterization of the nanocomposite modified IDμEs, with and without the antibodies, was performed through generic capacitance vs. frequency (C-F, 1 KHz - 1 MHz) and capacitance vs. applied bias (C-V, 0.1 V-1 V) measurements, using an Agilent B1500A parametric analyzer. The binding event of UCHL1 peptides to anti-UCHL1-antibodies was transduced in terms of normalised changes in parallel capacitance, via the C-F analysis. Further, we have tested the detection efficiency of the said immunoassay against UCHL1 spiked human plasma samples in the concentration range 10 fg/mL - 1 μg/mL. The proposed sensing platform detected UCHL1 in spiked-plasma samples linearly in the range of 10 fg/mL - 1 ng/mL with a sensitivity and LoD of 4.22 ((ΔC/C0)/ng.mL-1)/cm2 and 0.363 fg/mL, respectively. Further, it showed excellent stability (30 weeks), repeatability, reproducibility, selectivity and interference-resistance. The proposed approach is label-free, and if desired, can be used in conjunction with DC measurements, for biosensing applications.
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Affiliation(s)
- Patta Supraja
- Department of Electrical Engineering, Indian Institute of Technology Hyderabad, 502285, India.
| | - Suryasnata Tripathy
- Department of Electronics and Communication Engineering, Indian Institute of Information Technology Surat, 395007, India.
| | | | - Shiv Govind Singh
- Department of Electrical Engineering, Indian Institute of Technology Hyderabad, 502285, India.
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