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Jiang B, Yang Y, Zhao R, Chen D, Wang Y, Liu J, Long F, Chen R, Hao R. A multifunctional evanescent wave biosensor for the universal assay of SARS-CoV-2 variants and affinity analysis of coronavirus spike protein-hACE2 interactions. Biosens Bioelectron 2024; 260:116426. [PMID: 38815461 DOI: 10.1016/j.bios.2024.116426] [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: 03/26/2024] [Revised: 05/12/2024] [Accepted: 05/23/2024] [Indexed: 06/01/2024]
Abstract
The conventional detection model of passive adaptation to pathogen mutations, i.e., developing assays using corresponding antibodies or nucleic acid probes, is difficult to address frequent outbreaks of emerging infectious diseases. In particular, adaptive mutations observed in coronaviruses, which increase the affinity of the spike protein with the human cellular receptor hACE2, play pivotal roles in the transmission and immune evasion of coronaviruses. Herein, we developed a multifunctional optical fiber evanescent wave biosensor for the universal assay of coronavirus and affinity analysis of the spike protein interacting with hACE2, namely, My-SPACE. By competitively binding with Cy5.5-hACE2 between coronavirus spike proteins in mobile buffer and that modified on optical fibers from the SARS-CoV-2 wild type, My-SPACE could automatically detect SARS-CoV-2 and its variants within 10 min. My-SPACE demonstrated greater sensitivity and faster results than ELISA for SARS-CoV-2 variants, achieving 100% specificity and 94.10% sensitivity in detecting the Omicron variant in 18 clinical samples. Moreover, the interaction between hACE2 and the coronavirus spike protein was accurately characterized across SARS-CoV-2 mutants, SARS-CoV and hCoV-NL63. The accuracy of the affinity determined by My-SPACE was verified by SPR. This approach enables preliminary assessment of the transmissibility and hazards of emerging coronaviruses. The sensor fibers of My-SPACE can be reused more than 40 times, and the device is compact and easy to use; moreover, it is available as a rapid and cost-effective on-site detection tool adapted to coronavirus variability and as an effective assessment platform for early warning of coronavirus transmission risk.
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Affiliation(s)
- Bo Jiang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, China
| | - Yi Yang
- Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - Rongtao Zhao
- Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - Dan Chen
- School of Environment and Natural Resources, Renmin University of China, Beijing, China
| | - Yule Wang
- Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - Junwen Liu
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, China
| | - Feng Long
- School of Environment and Natural Resources, Renmin University of China, Beijing, China.
| | - Rui Chen
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, China.
| | - Rongzhang Hao
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, China.
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2
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Baruah A, Newar R, Das S, Kalita N, Nath M, Ghosh P, Chinnam S, Sarma H, Narayan M. Biomedical applications of graphene-based nanomaterials: recent progress, challenges, and prospects in highly sensitive biosensors. DISCOVER NANO 2024; 19:103. [PMID: 38884869 PMCID: PMC11183028 DOI: 10.1186/s11671-024-04032-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Accepted: 05/14/2024] [Indexed: 06/18/2024]
Abstract
Graphene-based nanomaterials (graphene, graphene oxide, reduced graphene oxide, graphene quantum dots, graphene-based nanocomposites, etc.) are emerging as an extremely important class of nanomaterials primarily because of their unique and advantageous physical, chemical, biological, and optoelectronic aspects. These features have resulted in uses across diverse areas of scientific research. Among all other applications, they are found to be particularly useful in designing highly sensitive biosensors. Numerous studies have established their efficacy in sensing pathogens and other biomolecules allowing for the rapid diagnosis of various diseases. Considering the growing importance and popularity of graphene-based materials for biosensing applications, this review aims to provide the readers with a summary of the recent progress in the concerned domain and highlights the challenges associated with the synthesis and application of these multifunctional materials.
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Affiliation(s)
- Arabinda Baruah
- Department of Chemistry, Gauhati University, Guwahati, Assam, 781014, India
| | - Rachita Newar
- Department of Chemistry, Gauhati University, Guwahati, Assam, 781014, India
| | - Saikat Das
- Department of Chemistry, Gauhati University, Guwahati, Assam, 781014, India
| | - Nitul Kalita
- Indian Institute of Technology Guwahati, Guwahati, Assam, 781039, India
| | - Masood Nath
- University of Technology and Applied Sciences, Muscat, Oman
| | - Priya Ghosh
- Department of Chemistry, Gauhati University, Guwahati, Assam, 781014, India
| | - Sampath Chinnam
- Department of Chemistry, M.S. Ramaiah Institute of Technology (Autonomous Institution, Affiliated to Visvesvaraya Technological University, Belgaum), Bengaluru, Karnataka, 560054, India
| | - Hemen Sarma
- Department of Botany, Bodoland University, Rangalikhata, Deborgaon, Kokrajhar (BTR), Assam, 783370, India.
| | - Mahesh Narayan
- Department of Chemistry and Biochemistry, University of Texas at El Paso, UTEP, 500 W. University Ave, El Paso, TX, 79968, USA.
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3
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Wang X, Wang Y, Jie H, Liu S, Shen C, Liu Q. Enhancing Sensitivity in SARS-CoV-2 Rapid Antigen Testing through Integration of a Water-Soluble Polymer Wall. BIOSENSORS 2024; 14:305. [PMID: 38920609 PMCID: PMC11201958 DOI: 10.3390/bios14060305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Revised: 06/07/2024] [Accepted: 06/11/2024] [Indexed: 06/27/2024]
Abstract
Lateral flow immunoassays (LFIAs) are recognized for their practicality in homecare and point-of-care testing, owing to their simplicity, cost-efficiency, and rapid visual readouts. Despite these advantages, LFIAs typically fall short in sensitivity, particularly in detecting viruses such as SARS-CoV-2, thus limiting their broader application. In response to this challenge, we have innovated an approach to substantially enhance LFIA sensitivity. This involves the integration of a water-soluble dextran-methacrylate polymer wall with a 15% grafting degree positioned between the test and control lines on the LFIA strip. This novel modification significantly improved the sensitivity of the assay, achieving detection limits as low as 50 pg mL-1 and enhancing the sensitivity by 5-20-fold relative to existing LFIA kits available on the market. Furthermore, our developed LFIA kit (WSPW-LFIA) demonstrated exceptional specificity for SARS-CoV-2. Coupled with a straightforward fabrication process and robust stability, the WSPW-LFIA represents a promising advancement for real-time in vitro diagnosis across a spectrum of diseases.
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Affiliation(s)
- Xiuzhen Wang
- School of Public Health, Southern Medical University, No. 1023, South Shatai Road, Baiyun District, Guangzhou 510515, China;
- Department of Detection and Diagnosis Technology Research, Guangzhou National Laboratory, Guangzhou 510000, China; (Y.W.); (H.J.); (S.L.)
| | - Yu Wang
- Department of Detection and Diagnosis Technology Research, Guangzhou National Laboratory, Guangzhou 510000, China; (Y.W.); (H.J.); (S.L.)
| | - Huiyang Jie
- Department of Detection and Diagnosis Technology Research, Guangzhou National Laboratory, Guangzhou 510000, China; (Y.W.); (H.J.); (S.L.)
| | - Sidi Liu
- Department of Detection and Diagnosis Technology Research, Guangzhou National Laboratory, Guangzhou 510000, China; (Y.W.); (H.J.); (S.L.)
| | - Chenguang Shen
- School of Public Health, Southern Medical University, No. 1023, South Shatai Road, Baiyun District, Guangzhou 510515, China;
| | - Qian Liu
- Department of Detection and Diagnosis Technology Research, Guangzhou National Laboratory, Guangzhou 510000, China; (Y.W.); (H.J.); (S.L.)
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Venkatesh M, Parthasarathy P. Al 2O 3/ZrO 2 dual-dielectric Gr/CNT nanoribbon vertical tunnel FET based biosensor for genomic classification and S-protein detection in SARS-CoV-2. Heliyon 2024; 10:e30077. [PMID: 38707330 PMCID: PMC11066398 DOI: 10.1016/j.heliyon.2024.e30077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 04/05/2024] [Accepted: 04/18/2024] [Indexed: 05/07/2024] Open
Abstract
The ongoing genetic mutation of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) possesses the capacity to inadvertently lead to an increase in both the rates of transmission and mortality. In this study, we showcase the use of an Al2O3/ZrO2 Dual-Dielectric Gr/CNT Nanoribbon vertical tunnel field-effect transistor biosensor for the purpose of detecting spike proteins of SARS-CoV-2 in clinical samples. The proteins mentioned above are situated within the protein capsids of the virus. The effectiveness of the suggested detector has been assessed through measurements of the alteration in current drain. The present study utilizes the dielectric coefficient analogue of viral proteins as a substitute for biomolecules that exhibit internal hybridization nanogaps. The high sensitivity of the suggested detector, as evaluated on a scale ranging from 0 to 115, suggests its potential as a high-quality sensing instrument. The purpose of this study is to examine the sensitivity of DNA charge density with the aim of identifying any alterations in the virus that may impact its ability to spread and infect humans. The chromosomal composition of SARS-CoV-2 has been determined. The CMC Research Centre, situated in Vellore, Tamil Nadu, India, conducted an examination of SARS-CoV-2 samples. The scientists possess the capability to do genome sequencing on these specimens, so facilitating the examination of mutation patterns and the dispersion of different clades. A total of 250 different mutations were found out of the 600 sequences that were evaluated. The sequencing data consists of a complete collection of 250 distinct variants, including 150 missense mutations, 80 synonymous mutations, 15 mutations in noncoding regions, and 5 deletions. The comprehension of genetic variety is significantly dependent on these mutations. The proposed detector is connected to a variety of previously documented biosensors based on field-effect transistors (FETs), which are employed for the examination of genetic modifications.
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Affiliation(s)
- M. Venkatesh
- Department of Electronics and Communication Engineering, CMR Institute of Technology, Bengaluru, Karnataka, India, 560037
| | - P. Parthasarathy
- Department of Electronics and Communication Engineering, CMR Institute of Technology, Bengaluru, Karnataka, India, 560037
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Hu X, Zhang M, Liu Y, Li YT, Li W, Li T, Li J, Xiao X, He Q, Zhang ZY, Zhang GJ. A portable transistor immunosensor for fast identification of porcine epidemic diarrhea virus. J Nanobiotechnology 2024; 22:239. [PMID: 38735951 PMCID: PMC11089749 DOI: 10.1186/s12951-024-02440-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Accepted: 03/25/2024] [Indexed: 05/14/2024] Open
Abstract
Widespread distribution of porcine epidemic diarrhea virus (PEDV) has led to catastrophic losses to the global pig farming industry. As a result, there is an urgent need for rapid, sensitive and accurate tests for PEDV to enable timely and effective interventions. In the present study, we develop and validate a floating gate carbon nanotubes field-effect transistor (FG CNT-FET)-based portable immunosensor for rapid identification of PEDV in a sensitive and accurate manner. To improve the affinity, a unique PEDV spike protein-specific monoclonal antibody is prepared by purification, and subsequently modified on FG CNT-FET sensor to recognize PEDV. The developed FET biosensor enables highly sensitive detection (LoD: 8.1 fg/mL and 100.14 TCID50/mL for recombinant spike proteins and PEDV, respectively), as well as satisfactory specificity. Notably, an integrated portable platform consisting of a pluggable FG CNT-FET chip and a portable device can discriminate PEDV positive from negative samples and even identify PEDV and porcine deltacoronavirus within 1 min with 100% accuracy. The portable sensing platform offers the capability to quickly, sensitively and accurately identify PEDV, which further points to a possibility of point of care (POC) applications of large-scale surveillance in pig breeding facilities.
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Affiliation(s)
- Xiao Hu
- School of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan, 430065, P.R. China
- Department of Pharmacy, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, 442000, P.R. China
| | - Mengjia Zhang
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, P. R. China
- Key Laboratory of Prevention & Control for African Swine Fever and Other Major Pig Diseases, Key Laboratory of Development of Veterinary Diagnostic Products, Ministry of Agriculture and Rural Affairs, Wuhan, 430070, P. R. China
| | - Yiwei Liu
- Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Hunan, 411105, P. R. China
| | - Yu-Tao Li
- School of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan, 430065, P.R. China
- Hubei Shizhen Laboratory, Wuhan, Hubei, 430065, P.R. China
| | - Wentao Li
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, P. R. China
- Key Laboratory of Prevention & Control for African Swine Fever and Other Major Pig Diseases, Key Laboratory of Development of Veterinary Diagnostic Products, Ministry of Agriculture and Rural Affairs, Wuhan, 430070, P. R. China
| | - Tingxian Li
- Key Laboratory for the Physics and Chemistry of Nanodevices and Center for Carbon-based Electronics, School of Electronics, Peking University, Beijing, 100871, P. R. China
| | - Jiahao Li
- School of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan, 430065, P.R. China
| | - Xueqian Xiao
- School of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan, 430065, P.R. China
| | - Qigai He
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, P. R. China.
- Key Laboratory of Prevention & Control for African Swine Fever and Other Major Pig Diseases, Key Laboratory of Development of Veterinary Diagnostic Products, Ministry of Agriculture and Rural Affairs, Wuhan, 430070, P. R. China.
| | - Zhi-Yong Zhang
- Key Laboratory for the Physics and Chemistry of Nanodevices and Center for Carbon-based Electronics, School of Electronics, Peking University, Beijing, 100871, P. R. China.
| | - Guo-Jun Zhang
- School of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan, 430065, P.R. China.
- Hubei Shizhen Laboratory, Wuhan, Hubei, 430065, P.R. China.
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6
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Kim YJ, Min J. Advances in nanobiosensors during the COVID-19 pandemic and future perspectives for the post-COVID era. NANO CONVERGENCE 2024; 11:3. [PMID: 38206526 PMCID: PMC10784265 DOI: 10.1186/s40580-023-00410-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 12/07/2023] [Indexed: 01/12/2024]
Abstract
The unprecedented threat of the highly contagious virus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes exponentially increased infections of coronavirus disease 2019 (COVID-19), highlights the weak spots of the current diagnostic toolbox. In the midst of catastrophe, nanobiosensors offer a new opportunity as an alternative tool to fill a gap among molecular tests, rapid antigen tests, and serological tests. Nanobiosensors surpass the potential of antigen tests because of their enhanced sensitivity, thus enabling us to see antigens as stable and easy-to-access targets. During the first three years of the COVID-19 pandemic, a substantial number of studies have reported nanobiosensors for the detection of SARS-CoV-2 antigens. The number of articles on nanobiosensors and SARS-CoV-2 exceeds the amount of nanobiosensor research on detecting previous infectious diseases, from influenza to SARS-CoV and MERS-CoV. This unprecedented publishing pace also implies the significance of SARS-CoV-2 and the present pandemic. In this review, 158 studies reporting nanobiosensors for detecting SARS-CoV-2 antigens are collected to discuss the current challenges of nanobiosensors using the criteria of point-of-care (POC) diagnostics along with COVID-specific issues. These advances and lessons during the pandemic pave the way for preparing for the post-COVID era and potential upcoming infectious diseases.
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Affiliation(s)
- Young Jun Kim
- School of Integrative Engineering, Chung-Ang University, Heukseok-Dong, Dongjak-Gu, Seoul, 06974, Republic of Korea
| | - Junhong Min
- School of Integrative Engineering, Chung-Ang University, Heukseok-Dong, Dongjak-Gu, Seoul, 06974, Republic of Korea.
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7
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Bi H, You R, Bian X, Li P, Zhao X, You Z. A magnetic control enrichment technique combined with terahertz metamaterial biosensor for detecting SARS-CoV-2 spike protein. Biosens Bioelectron 2024; 243:115763. [PMID: 37890389 DOI: 10.1016/j.bios.2023.115763] [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: 08/06/2023] [Revised: 10/12/2023] [Accepted: 10/15/2023] [Indexed: 10/29/2023]
Abstract
The highly contagious SARS-CoV-2 virus, responsible for the COVID-19 pandemic continues to pose significant challenges to public health. Developing new methods for early detection and diagnosis is crucial in combatting the disease, mitigating its impact and be prepared for future challenges in pandemic diseases. In this study, we propose a terahertz (THz) biosensing technology that capitalizes on the properties of THz metamaterial in conjunction with magnetic nanoparticles. This approach can accurately identify the SARS-CoV-2 spike protein by pinpointing its location on the THz resonance sources grooved surface. The magnetic nanoparticles are employed to selectively bind with target molecules, and migrate towards the THz metamaterial unit cell when exposed to an applied magnetic field. The presence of target molecules in to the metamaterial variation in the frequency, amplitude, and phase of the resonance response, thus enabling swift, accurate and sensitive detection. To assess the effectiveness of the proposed technique, we have conducted a comparative analysis between real samples on platforms controlled by magnetic manipulation and those without the control. It was confirmed that the proposed THz sensing method demonstrated a linear detection range spanning from 0.005 ng mL-1 to 1000 ng mL-1 with a detection limit of 0.002 ng mL-1. Furthermore, it exhibited a frequency shift of 24 GHz and a stability index of 95%. The THz biosensing technique may pave a new avenue in identifying and preempting the spread of potential pandemic diseases.
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Affiliation(s)
- Hao Bi
- Beijing Laboratory of Biomedical Detection Technology and Instrument, Beijing Information Science & Technology University, Beijing, 10029, PR China; School of Instrument Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing, 100029, PR China
| | - Rui You
- Beijing Laboratory of Biomedical Detection Technology and Instrument, Beijing Information Science & Technology University, Beijing, 10029, PR China; School of Instrument Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing, 100029, PR China.
| | - Xiaomeng Bian
- Beijing Laboratory of Biomedical Detection Technology and Instrument, Beijing Information Science & Technology University, Beijing, 10029, PR China; School of Instrument Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing, 100029, PR China
| | - Peng Li
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments, Tsinghua University, Beijing, 100084, PR China; Key Laboratory of Smart Microsystem, Ministry of Education, Tsinghua University, Beijing, 100084, PR China; Beijing Advanced Innovation Center for Integrated Circuits, Beijing, 100084, PR China.
| | - Xiaoguang Zhao
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments, Tsinghua University, Beijing, 100084, PR China; Key Laboratory of Smart Microsystem, Ministry of Education, Tsinghua University, Beijing, 100084, PR China; Beijing Advanced Innovation Center for Integrated Circuits, Beijing, 100084, PR China.
| | - Zheng You
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments, Tsinghua University, Beijing, 100084, PR China; Key Laboratory of Smart Microsystem, Ministry of Education, Tsinghua University, Beijing, 100084, PR China; Beijing Advanced Innovation Center for Integrated Circuits, Beijing, 100084, PR China
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8
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Zhou L, Vestri A, Marchesano V, Rippa M, Sagnelli D, Picazio G, Fusco G, Han J, Zhou J, Petti L. The Label-Free Detection and Identification of SARS-CoV-2 Using Surface-Enhanced Raman Spectroscopy and Principal Component Analysis. BIOSENSORS 2023; 13:1014. [PMID: 38131774 PMCID: PMC10741931 DOI: 10.3390/bios13121014] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 11/24/2023] [Accepted: 12/03/2023] [Indexed: 12/23/2023]
Abstract
The World Health Organization (WHO) declared in a May 2023 announcement that the COVID-19 illness is no longer categorized as a Public Health Emergency of International Concern (PHEIC); nevertheless, it is still considered an actual threat to world health, social welfare and economic stability. Consequently, the development of a convenient, reliable and affordable approach for detecting and identifying SARS-CoV-2 and its emerging new variants is crucial. The fingerprint and signal amplification characteristics of surface-enhanced Raman spectroscopy (SERS) could serve as an assay scheme for SARS-CoV-2. Here, we report a machine learning-based label-free SERS technique for the rapid and accurate detection and identification of SARS-CoV-2. The SERS spectra collected from samples of four types of coronaviruses on gold nanoparticles film, fabricated using a Langmuir-Blodgett self-assembly, can provide more spectroscopic signatures of the viruses and exhibit low limits of detection (<100 TCID50/mL or even <10 TCID50/mL). Furthermore, the key Raman bands of the SERS spectra were systematically captured by principal component analysis (PCA), which effectively distinguished SARS-CoV-2 and its variant from other coronaviruses. These results demonstrate that the combined use of SERS technology and PCA analysis has great potential for the rapid analysis and discrimination of multiple viruses and even newly emerging viruses without the need for a virus-specific probe.
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Affiliation(s)
- Lu Zhou
- Institute of Applied Sciences and Intelligent Systems of CNR, 80072 Pozzuoli, Italy; (L.Z.); (A.V.); (V.M.); (M.R.); (D.S.)
- Center for Terahertz Waves and College of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China;
| | - Ambra Vestri
- Institute of Applied Sciences and Intelligent Systems of CNR, 80072 Pozzuoli, Italy; (L.Z.); (A.V.); (V.M.); (M.R.); (D.S.)
| | - Valentina Marchesano
- Institute of Applied Sciences and Intelligent Systems of CNR, 80072 Pozzuoli, Italy; (L.Z.); (A.V.); (V.M.); (M.R.); (D.S.)
| | - Massimo Rippa
- Institute of Applied Sciences and Intelligent Systems of CNR, 80072 Pozzuoli, Italy; (L.Z.); (A.V.); (V.M.); (M.R.); (D.S.)
| | - Domenico Sagnelli
- Institute of Applied Sciences and Intelligent Systems of CNR, 80072 Pozzuoli, Italy; (L.Z.); (A.V.); (V.M.); (M.R.); (D.S.)
| | - Gerardo Picazio
- Istituto Zooprofilattico Sperimentale del Mezzogiorno, 80055 Portici, Italy; (G.P.); (G.F.)
| | - Giovanna Fusco
- Istituto Zooprofilattico Sperimentale del Mezzogiorno, 80055 Portici, Italy; (G.P.); (G.F.)
| | - Jiaguang Han
- Center for Terahertz Waves and College of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China;
| | - Jun Zhou
- Department of Microelectronic Science and Engineering, School of Physical Science and Technology, Ningbo University, Ningbo 315211, China
| | - Lucia Petti
- Institute of Applied Sciences and Intelligent Systems of CNR, 80072 Pozzuoli, Italy; (L.Z.); (A.V.); (V.M.); (M.R.); (D.S.)
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Janićijević Ž, Nguyen-Le TA, Alsadig A, Cela I, Žilėnaite R, Tonmoy TH, Kubeil M, Bachmann M, Baraban L. Methods gold standard in clinic millifluidics multiplexed extended gate field-effect transistor biosensor with gold nanoantennae as signal amplifiers. Biosens Bioelectron 2023; 241:115701. [PMID: 37757510 DOI: 10.1016/j.bios.2023.115701] [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: 06/20/2023] [Revised: 08/30/2023] [Accepted: 09/20/2023] [Indexed: 09/29/2023]
Abstract
We present a portable multiplexed biosensor platform based on the extended gate field-effect transistor and demonstrate its amplified response thanks to gold nanoparticle-based bioconjugates introduced as a part of the immunoassay. The platform comprises a disposable chip hosting an array of 32 extended gate electrodes, a readout module based on a single transistor operating in constant charge mode, and a multiplexer to scan sensing electrodes one-by-one. Although employing only off-the-shelf electronic components, our platform achieves sensitivities comparable to fully customized nanofabricated potentiometric sensors. In particular, it reaches a detection limit of 0.2 fM for the pure molecular assay when sensing horseradish peroxidase-linked secondary antibody (∼0.4 nM reached by standard microplate methods). Furthermore, with the gold nanoparticle bioconjugation format, we demonstrate ca. 5-fold amplification of the potentiometric response compared to a pure molecular assay, at the detection limit of 13.3 fM. Finally, we elaborate on the mechanism of this amplification and propose that nanoparticle-mediated disruption of the diffusion barrier layer is the main contributor to the potentiometric signal enhancement. These results show the great potential of our portable, sensitive, and cost-efficient biosensor for multidimensional diagnostics in the clinical and laboratory settings, including e.g., serological tests or pathogen screening.
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Affiliation(s)
- Željko Janićijević
- Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Bautzner Landstraße 400, 01328, Dresden, Germany
| | - Trang-Anh Nguyen-Le
- Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Bautzner Landstraße 400, 01328, Dresden, Germany
| | - Ahmed Alsadig
- Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Bautzner Landstraße 400, 01328, Dresden, Germany
| | - Isli Cela
- Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Bautzner Landstraße 400, 01328, Dresden, Germany
| | - Rugilė Žilėnaite
- Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Bautzner Landstraße 400, 01328, Dresden, Germany; Faculty of Chemistry and Geosciences, Institute of Chemistry, Vilnius University, Naugarduko g. 24, LT-03225, Vilnius, Lithuania
| | - Taufhik Hossain Tonmoy
- Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Bautzner Landstraße 400, 01328, Dresden, Germany
| | - Manja Kubeil
- Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Bautzner Landstraße 400, 01328, Dresden, Germany
| | - Michael Bachmann
- Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Bautzner Landstraße 400, 01328, Dresden, Germany
| | - Larysa Baraban
- Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Bautzner Landstraße 400, 01328, Dresden, Germany.
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Sun X, Shan Y, Jian M, Wang Z. A Multichannel Fluorescence Isothermal Amplification Device with Integrated Internet of Medical Things for Rapid Sensing of Pathogens through Deep Learning. Anal Chem 2023; 95:15146-15152. [PMID: 37733965 DOI: 10.1021/acs.analchem.3c02973] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/23/2023]
Abstract
The landscape of diagnostic assessments has experienced a paradigm shift driven by the advent of isothermal amplification techniques on point-of-care testing (POCT). The development of compact, portable isothermal amplification devices further emphasizes their transformative influence on diagnostic approaches. However, in prioritizing portability, these devices may exhibit limitations in functionality, rendering them less effective in addressing urgent public health emergencies during sudden pathogen outbreaks. In this paper, an efficient isothermal fluorescence amplification device has been fabricated for the rapid detection of pathogens during public health crises. The device features multichannel capability for simultaneous detection of various targets, integrates with the Internet of Medical Things (IoMT) for remote control and data uploading, and includes a deep learning-based batch processing system for rapid (9.4 ms) and accurate discrimination of pathogen type with excellent accuracy. The device has been successfully employed to simultaneously detect Staphylococcus aureus (SA) and methicillin-resistant Staphylococcus aureus (MRSA) with limits of detection (LODs) of 18 CFU/mL (SA) and 20 CFU/mL (MRSA) within 35 min by multiplex RPA assay and CRISPR/Cas12a-mediated nucleic acid detection assay.
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Affiliation(s)
- Xudong Sun
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, P. R. China
- School of Applied Chemistry and Engineering, University of Science and Technology of China, Hefei, 230026, P. R. China
| | - Yongjie Shan
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, P. R. China
- School of Applied Chemistry and Engineering, University of Science and Technology of China, Hefei, 230026, P. R. China
| | - Minghong Jian
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, P. R. China
| | - Zhenxin Wang
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, P. R. China
- School of Applied Chemistry and Engineering, University of Science and Technology of China, Hefei, 230026, P. R. China
- National Analytical Research Center of Electrochemistry and Spectroscopy, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, P. R. China
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11
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Rakhimbekova A, Kudaibergenov B, Seitkamal K, Bellone A, Dauletova A, Sypabekova M, Olivero M, Perrone G, Radaelli A, Zanotto C, De Giuli Morghen C, Vangelista L, Tosi D. Rapid detection of vaccinia virus using biofunctionalized fiber-optic ball-tip biosensors. Sci Rep 2023; 13:17470. [PMID: 37838808 PMCID: PMC10576743 DOI: 10.1038/s41598-023-44926-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 10/13/2023] [Indexed: 10/16/2023] Open
Abstract
In this work, we present the development and biofunctionalization of a fiber-optic ball-resonator biosensor for the real-time detection of vaccinia poxvirus. We fabricated several ball-tip resonators, functionalized through a silanization process to immobilize two bioreceptors: the monoclonal anti-L1R antibody targeting the L1R protein, and the polyclonal rabbit serum antibodies targeting the whole vaccinia virus (VV) pathogen. Experimental measurements were carried out to detect VV in concentrations from 103 to 108 plaque-forming units (PFU), with a limit of detection of around 1.7-4.3 × 103 PFU and a log-quadratic pattern, with a response up to 5 × 10-4 RIU (refractive index units). The specificity was assessed against herpes simplex virus, used as a non-specific control, with the best results obtained with anti-L1R monoclonal antibodies, and through the detection of vaccinia virus/herpes simplex-1 combination. The obtained results provide a real-time viral recognition with a label-free sensing platform, having rapid response and ease of manufacturing, and paving the road to the seamless detection of poxviruses affecting different human and animal species using optical fibers.
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Affiliation(s)
- Aida Rakhimbekova
- Department of Electrical and Computer Engineering, School of Engineering and Digital Sciences, Nazarbayev University, 010000, Astana, Kazakhstan
| | - Baizak Kudaibergenov
- Department of Electrical and Computer Engineering, School of Engineering and Digital Sciences, Nazarbayev University, 010000, Astana, Kazakhstan
| | - Kuanysh Seitkamal
- Department of Biomedical Sciences, School of Medicine, Nazarbayev University, 010000, Astana, Kazakhstan
| | - Aurora Bellone
- Department of Electronics and Telecommunications, Politecnico Di Torino, Turin, Italy
| | - Ayazhan Dauletova
- Department of Electrical and Computer Engineering, School of Engineering and Digital Sciences, Nazarbayev University, 010000, Astana, Kazakhstan
| | - Marzhan Sypabekova
- Department of Electrical & Computer Engineering, Baylor University, Waco, TX, USA
| | - Massimo Olivero
- Department of Electronics and Telecommunications, Politecnico Di Torino, Turin, Italy
| | - Guido Perrone
- Department of Electronics and Telecommunications, Politecnico Di Torino, Turin, Italy
| | - Antonia Radaelli
- Department of Medical Biotechnologies and Translational Medicine, Laboratory of Molecular Virology and Recombinant Vaccine Development, University of Milan, Via Vanvitelli 32, Milan, Italy
- Catholic University "Our Lady of Good Counsel", Rr. Dritan Hoxha, Tirana, Albania
| | - Carlo Zanotto
- Department of Medical Biotechnologies and Translational Medicine, Laboratory of Molecular Virology and Recombinant Vaccine Development, University of Milan, Via Vanvitelli 32, Milan, Italy
| | | | - Luca Vangelista
- Department of Biomedical Sciences, School of Medicine, Nazarbayev University, 010000, Astana, Kazakhstan
- Department of Molecular Medicine, University of Pavia, 27100, Pavia, Italy
| | - Daniele Tosi
- Department of Electrical and Computer Engineering, School of Engineering and Digital Sciences, Nazarbayev University, 010000, Astana, Kazakhstan.
- Laboratory of Biosensors and Bioinstruments, National Laboratory Astana, 010000, Astana, Kazakhstan.
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12
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Taha BA, Al Mashhadany Y, Al-Jubouri Q, Rashid ARBA, Luo Y, Chen Z, Rustagi S, Chaudhary V, Arsad N. Next-generation nanophotonic-enabled biosensors for intelligent diagnosis of SARS-CoV-2 variants. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 880:163333. [PMID: 37028663 PMCID: PMC10076079 DOI: 10.1016/j.scitotenv.2023.163333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 04/02/2023] [Indexed: 04/15/2023]
Abstract
Constantly mutating SARS-CoV-2 is a global concern resulting in COVID-19 infectious waves from time to time in different regions, challenging present-day diagnostics and therapeutics. Early-stage point-of-care diagnostic (POC) biosensors are a crucial vector for the timely management of morbidity and mortalities caused due to COVID-19. The state-of-the-art SARS-CoV-2 biosensors depend upon developing a single platform for its diverse variants/biomarkers, enabling precise detection and monitoring. Nanophotonic-enabled biosensors have emerged as 'one platform' to diagnose COVID-19, addressing the concern of constant viral mutation. This review assesses the evolution of current and future variants of the SARS-CoV-2 and critically summarizes the current state of biosensor approaches for detecting SARS-CoV-2 variants/biomarkers employing nanophotonic-enabled diagnostics. It discusses the integration of modern-age technologies, including artificial intelligence, machine learning and 5G communication with nanophotonic biosensors for intelligent COVID-19 monitoring and management. It also highlights the challenges and potential opportunities for developing intelligent biosensors for diagnosing future SARS-CoV-2 variants. This review will guide future research and development on nano-enabled intelligent photonic-biosensor strategies for early-stage diagnosing of highly infectious diseases to prevent repeated outbreaks and save associated human mortalities.
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Affiliation(s)
- Bakr Ahmed Taha
- Photonics Technology Laboratory, Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia UKM, 43600 Bangi, Malaysia.
| | - Yousif Al Mashhadany
- Department of Electrical Engineering, College of Engineering, University of Anbar, Anbar 00964, Iraq
| | - Qussay Al-Jubouri
- Department of Communication Engineering, University of Technology, Baghdad, Iraq
| | - Affa Rozana Bt Abdul Rashid
- Faculty of Science and Technology, University Sains Islam Malaysia, Bandar Baru Nilai, 71800 Nilai, Negeri Sembilan, Malaysia
| | - Yunhan Luo
- Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Department of Optoelectronic Engineering, College of Science and Engineering, Jinan University, Guangzhou 510632, China
| | - Zhe Chen
- Key Laboratory of Optoelectronic Information and Sensing Technologies of Guangdong Higher Education Institutes, Jinan University Guangzhou, 510632, China
| | - Sarvesh Rustagi
- School of Applied and Life Sciences, Uttaranchal University, Dehradun, Uttarakhand, India
| | - Vishal Chaudhary
- Department of Physics, Bhagini Nivedita College, University of Delhi, New Delhi 110045, India.
| | - Norhana Arsad
- Photonics Technology Laboratory, Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia UKM, 43600 Bangi, Malaysia.
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13
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Zheng Y, Song X, Fredj Z, Bian S, Sawan M. Challenges and perspectives of multi-virus biosensing techniques: A review. Anal Chim Acta 2023; 1244:340860. [PMID: 36737150 PMCID: PMC9868144 DOI: 10.1016/j.aca.2023.340860] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 01/17/2023] [Accepted: 01/18/2023] [Indexed: 01/24/2023]
Abstract
In the context of globalization, individuals have an increased chance of being infected by multiple viruses simultaneously, thereby highlighting the importance of developing multiplexed devices. In addition to sufficient sensitivity and rapid response, multi-virus sensing techniques are expected to offer additional advantages including high throughput, one-time sampling for parallel analysis, and full automation with data visualization. In this paper, we review the optical, electrochemical, and mechanical platforms that enable multi-virus biosensing. The working mechanisms of each platform, including the detection principle, transducer configuration, bio-interface design, and detected signals, are reviewed. The advantages and limitations, as well as the challenges in implementing various detection strategies in real-life scenarios, were evaluated. Future perspectives on multiplexed biosensing techniques are critically discussed. Earlier access to multi-virus biosensors will efficiently serve for immediate pandemic control, such as in emerging SARS-CoV-2 and monkeypox cases.
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Affiliation(s)
- Yuqiao Zheng
- Zhejiang University, Hangzhou, 310058, Zhejiang, China,Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, 310030, China
| | - Xixi Song
- Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, 310030, China
| | - Zina Fredj
- Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, 310030, China
| | - Sumin Bian
- Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, 310030, China.
| | - Mohamad Sawan
- Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, 310030, China.
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14
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Choi HK, Yoon J. Nanotechnology-Assisted Biosensors for the Detection of Viral Nucleic Acids: An Overview. BIOSENSORS 2023; 13:208. [PMID: 36831973 PMCID: PMC9953881 DOI: 10.3390/bios13020208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 01/21/2023] [Accepted: 01/28/2023] [Indexed: 06/18/2023]
Abstract
The accurate and rapid diagnosis of viral diseases has garnered increasing attention in the field of biosensors. The development of highly sensitive, selective, and accessible biosensors is crucial for early disease detection and preventing mortality. However, developing biosensors optimized for viral disease diagnosis has several limitations, including the accurate detection of mutations. For decades, nanotechnology has been applied in numerous biological fields such as biosensors, bioelectronics, and regenerative medicine. Nanotechnology offers a promising strategy to address the current limitations of conventional viral nucleic acid-based biosensors. The implementation of nanotechnologies, such as functional nanomaterials, nanoplatform-fabrication techniques, and surface nanoengineering, to biosensors has not only improved the performance of biosensors but has also expanded the range of sensing targets. Therefore, a deep understanding of the combination of nanotechnologies and biosensors is required to prepare for sanitary emergencies such as the recent COVID-19 pandemic. In this review, we provide interdisciplinary information on nanotechnology-assisted biosensors. First, representative nanotechnologies for biosensors are discussed, after which this review summarizes various nanotechnology-assisted viral nucleic acid biosensors. Therefore, we expect that this review will provide a valuable basis for the development of novel viral nucleic acid biosensors.
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Affiliation(s)
- Hye Kyu Choi
- Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Jinho Yoon
- Department of Biomedical-Chemical Engineering, The Catholic University of Korea, Bucheon-si 14662, Gyeonggi-do, Republic of Korea
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15
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Nan J, Sun W, Liu X, Che Y, Shan H, Yue Y, Liu J, Wang L, Liu K, Xu W, Zhang W, Zhang S, Liu B, Hettie KS, Zhu S, Zhang J, Yang B. Thickness-Sensing Sandwiched Plasmonic Biosensors Enable Label-Free Naked-Eye Antibody Quantification. NANO LETTERS 2022; 22:9596-9605. [PMID: 36394551 PMCID: PMC9805804 DOI: 10.1021/acs.nanolett.2c03732] [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] [Indexed: 05/25/2023]
Abstract
Clinical serology assays for detecting the antibodies of the virus are time-consuming, are less sensitive/selective, or rely on sophisticated detection instruments. Here, we develop a sandwiched plasmonic biosensor (SPB) for supersensitive thickness-sensing via utilizing the distance-dependent electromagnetic coupling in sandwiched plasmonic nanostructures. SPBs quantitatively amplify the thickness changes on the nanoscale range (sensitivity: ∼2% nm-1) into macroscopically visible signals, thereby enabling the rapid, label-free, and naked-eye detection of targeted biomolecular species (via the thickness change caused by immunobinding events). As a proof of concept, this assay affords a broad dynamic range (7 orders of magnitude) and a low LOD (∼0.3 pM), allowing for the extremely accurate SARS-CoV-2 antibody quantification (sensitivity/specificity: 100%/∼99%, with a portable optical fiber device). This strategy is suitable for high-throughput multiplexed detection and smartphone-based sensing at the point-of-care, which can be expanded for various sensing applications beyond the fields of viral infections and vaccination.
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Affiliation(s)
- Jingjie Nan
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun, 130012, P. R. China
| | - Weihong Sun
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun, 130012, P. R. China
| | | | | | | | - Ying Yue
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun, 130012, P. R. China
| | - Jiaxin Liu
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun, 130012, P. R. China
| | - Lei Wang
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun, 130012, P. R. China
| | - Kun Liu
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun, 130012, P. R. China
| | | | | | | | | | - Kenneth S Hettie
- Molecular Imaging Program at Stanford (MIPS), Department of Radiology, Stanford University School of Medicine, Stanford, California 94305, United States
| | - Shoujun Zhu
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun, 130012, P. R. China
| | - Junhu Zhang
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun, 130012, P. R. China
| | - Bai Yang
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun, 130012, P. R. China
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16
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Gul I, Zhai S, Zhong X, Chen Q, Yuan X, Du Z, Chen Z, Raheem MA, Deng L, Leeansyah E, Zhang C, Yu D, Qin P. Angiotensin-Converting Enzyme 2-Based Biosensing Modalities and Devices for Coronavirus Detection. BIOSENSORS 2022; 12:bios12110984. [PMID: 36354493 PMCID: PMC9688389 DOI: 10.3390/bios12110984] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 11/02/2022] [Accepted: 11/03/2022] [Indexed: 05/30/2023]
Abstract
Rapid and cost-effective diagnostic tests for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are a critical and valuable weapon for the coronavirus disease 2019 (COVID-19) pandemic response. SARS-CoV-2 invasion is primarily mediated by human angiotensin-converting enzyme 2 (hACE2). Recent developments in ACE2-based SARS-CoV-2 detection modalities accentuate the potential of this natural host-virus interaction for developing point-of-care (POC) COVID-19 diagnostic systems. Although research on harnessing ACE2 for SARS-CoV-2 detection is in its infancy, some interesting biosensing devices have been developed, showing the commercial viability of this intriguing new approach. The exquisite performance of the reported ACE2-based COVID-19 biosensors provides opportunities for researchers to develop rapid detection tools suitable for virus detection at points of entry, workplaces, or congregate scenarios in order to effectively implement pandemic control and management plans. However, to be considered as an emerging approach, the rationale for ACE2-based biosensing needs to be critically and comprehensively surveyed and discussed. Herein, we review the recent status of ACE2-based detection methods, the signal transduction principles in ACE2 biosensors and the development trend in the future. We discuss the challenges to development of ACE2-biosensors and delineate prospects for their use, along with recommended solutions and suggestions.
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Affiliation(s)
- Ijaz Gul
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Shiyao Zhai
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Xiaoyun Zhong
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Qun Chen
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Xi Yuan
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Zhicheng Du
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Zhenglin Chen
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Muhammad Akmal Raheem
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Lin Deng
- Shenzhen Bay Laboratory, Shenzhen 518132, China
| | - Edwin Leeansyah
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Canyang Zhang
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Dongmei Yu
- Department of Computer Science and Technology, School of Mechanical, Electrical & Information Engineering, Shandong University, Weihai 264209, China
| | - Peiwu Qin
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
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17
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Pohanka M. Progress in Biosensors for the Point-of-Care Diagnosis of COVID-19. SENSORS (BASEL, SWITZERLAND) 2022; 22:s22197423. [PMID: 36236521 PMCID: PMC9571584 DOI: 10.3390/s22197423] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 09/22/2022] [Accepted: 09/26/2022] [Indexed: 05/31/2023]
Abstract
Coronavirus disease 2019 (COVID-19) is a highly virulent infection that has caused a pandemic since 2019. Early diagnosis of the disease has been recognized as one of the important approaches to minimize the pathological impact and spread of infection. Point-of-care tests proved to be substantial analytical tools, and especially lateral flow immunoassays (lateral flow tests) serve the purpose. In the last few years, biosensors have gained popularity. These are simple but highly sensitive and accurate analytical devices composed from a selective molecule such as an antibody or antigen and a sensor platform. Biosensors would be an advanced alternative to current point-of-care tests for COVID-19 diagnosis and standard laboratory methods as well. Recent discoveries related to point-of-care diagnostic tests for COVID-19, the development of biosensors for specific antibodies and specific virus parts or their genetic information are reviewed.
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Affiliation(s)
- Miroslav Pohanka
- Faculty of Military Health Sciences, University of Defense, Trebesska 1575, CZ-50001 Hradec Kralove, Czech Republic
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18
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Wei H, Zhang C, Du X, Zhang Z. Research progress of biosensors for detection of SARS-CoV-2 variants based on ACE2. Talanta 2022; 251:123813. [PMID: 35952504 PMCID: PMC9356646 DOI: 10.1016/j.talanta.2022.123813] [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: 06/08/2022] [Revised: 07/30/2022] [Accepted: 08/02/2022] [Indexed: 11/12/2022]
Abstract
Currently, the coronavirus disease 2019 (COVID-19) pandemic is ravaging the world, causing serious crisis in economy and human health. The top priority is the detection and drug development of the novel coronavirus. The gold standard for real-time diagnosis of coronavirus disease is the reverse transcription-polymerase chain reaction (RT-PCR), which is usually operatively complex and time-consuming. Biosensors are known for their low cost and rapid detection, which are developing rapidly in detecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The current study showed that the spike protein of SARS-CoV-2 will bind to angiotensin-converting hormone 2 (ACE2) to mediate the entry of the virus into cells. Interestingly, the affinity between ACE2 and SARS-CoV-2 spike protein increases with the mutation of the virus. Using ACE2 as a biosensor recognition receptor to detect SARS-CoV-2 will effectively avoid the decline of detection accuracy and false negative caused by variants. In fact, due to the variation of the virus, it may even lead to enhanced detection performance. In addition, ACE2-specific drugs to prevent SARS-CoV-2 from entering cells will be effectively evaluated using the biosensors even with virus mutations. Here, we reviewed the biosensors for rapid detection of SARS-CoV-2 by ACE2 and discussed the advantages of ACE2 as an antibody for the detection of SARS-CoV-2 variants. The review also discussed the value of ACE2-based biosensors for screening for drugs that modulate the interaction between ACE2 and SARS-CoV-2.
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19
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Ko K, Takahashi K, Nagashima S, E B, Ouoba S, Takafuta T, Fujii Y, Mimori M, Okada F, Kishita E, Ariyoshi K, Hussain MRA, Sugiyama A, Akita T, Kuwabara M, Tanaka J. Exercising the Sanger Sequencing Strategy for Variants Screening and Full-Length Genome of SARS-CoV-2 Virus during Alpha, Delta, and Omicron Outbreaks in Hiroshima. Viruses 2022; 14:v14040720. [PMID: 35458450 PMCID: PMC9030034 DOI: 10.3390/v14040720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 03/12/2022] [Accepted: 03/26/2022] [Indexed: 12/04/2022] Open
Abstract
This study aimed to exercise the Sanger sequencing strategy for screening of variants among confirmed COVID-19 cases and validate our strategy against NGS strains in Hiroshima retrieved from GISAID. A total of 660 samples from confirmed COVID-19 cases underwent screening for variants by Sanger-based partial sequencing to the targeted spike gene (nt22,735~nt23,532) using an in-house-developed primer set. The identification of variants was done by unique checkpoints of base nucleotide changes in the targeted spike gene. Moreover, we amplified one full-length genome using Sanger method and an in-house-developed primer library. Using NGS strains of the same sampling period from GISAID, a phylogenetic tree was constructed to examine the distribution pattern of variants in Hiroshima and to validate our Sanger method. The modified primer set provided 100% validation and 99.2% amplification. PANGO Lineage R.1 was detected in late in the third wave, followed by Alpha (B.1.1.7) domination in the fourth wave, Delta (B.1.617.2) domination in the fifth wave, and Omicron (B.1.1.529) domination in the sixth wave, and there was no significant difference in viral copies between variants (p = 0.09). The variants showed different transmission patterns, but the distribution of variants is consistent to that shown by the phylogenetic tree. The Sanger method also provided successful amplification of the full-length genome of the SARS-CoV-2 virus. Our Sanger sequencing strategy was useful for the screening of SASR-CoV-2 variants without the need for full-genome amplification. The modified primer set was validated to use universally, which allows an understanding of the variants’ distribution in real time and provides the evidence for policy-making and the formulation or modification of preventive strategies.
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Affiliation(s)
- Ko Ko
- Department of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Science, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima 734-8551, Japan; (K.K.); (K.T.); (S.N.); (B.E.); (S.O.); (M.R.A.H.); (A.S.); (T.A.)
| | - Kazuaki Takahashi
- Department of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Science, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima 734-8551, Japan; (K.K.); (K.T.); (S.N.); (B.E.); (S.O.); (M.R.A.H.); (A.S.); (T.A.)
| | - Shintaro Nagashima
- Department of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Science, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima 734-8551, Japan; (K.K.); (K.T.); (S.N.); (B.E.); (S.O.); (M.R.A.H.); (A.S.); (T.A.)
| | - Bunthen E
- Department of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Science, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima 734-8551, Japan; (K.K.); (K.T.); (S.N.); (B.E.); (S.O.); (M.R.A.H.); (A.S.); (T.A.)
- Payment Certification Agency, Ministry of Health, Lot 80, Street 289, Sangkat Boeng Kak Ti Pir, Khan Tuol Kouk, Phnom Penh 12152, Cambodia
| | - Serge Ouoba
- Department of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Science, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima 734-8551, Japan; (K.K.); (K.T.); (S.N.); (B.E.); (S.O.); (M.R.A.H.); (A.S.); (T.A.)
- Unité de Recherche Clinique de Nanoro (URCN), Nanoro BP18, Burkina Faso
| | - Toshiro Takafuta
- Hiroshima City Funairi Citizens Hospital, 14-11, Funairisaiwaicho, Naka-ku, Hiroshima 730-0844, Japan;
| | - Yoshiki Fujii
- Hiroshima City Institute of Public Health, 4 Chome-1-2, Shoko Center, Nishi-ku, Hiroshima 733-0833, Japan;
| | - Michi Mimori
- Hiroshima City Health and Welfare Bureau, 1 Chome-6-34, Kokutaijimachi, Naka-ku, Hiroshima 734-0042, Japan;
| | - Fumie Okada
- Hiroshima Prefectural Health and Welfare Bureau, 10-52, Motomachi, Naka-ku, Hiroshima 730-8511, Japan; (F.O.); (E.K.)
| | - Eisaku Kishita
- Hiroshima Prefectural Health and Welfare Bureau, 10-52, Motomachi, Naka-ku, Hiroshima 730-8511, Japan; (F.O.); (E.K.)
| | - Kunie Ariyoshi
- Hiroshima Prefectural Technology Research Institute, Public Health and Environment Center, 1 Chome-6-29, Minamimachi, Minami-ku, Hiroshima 734-0007, Japan;
| | - Md Razeen Ashraf Hussain
- Department of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Science, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima 734-8551, Japan; (K.K.); (K.T.); (S.N.); (B.E.); (S.O.); (M.R.A.H.); (A.S.); (T.A.)
| | - Aya Sugiyama
- Department of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Science, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima 734-8551, Japan; (K.K.); (K.T.); (S.N.); (B.E.); (S.O.); (M.R.A.H.); (A.S.); (T.A.)
| | - Tomoyuki Akita
- Department of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Science, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima 734-8551, Japan; (K.K.); (K.T.); (S.N.); (B.E.); (S.O.); (M.R.A.H.); (A.S.); (T.A.)
| | - Masao Kuwabara
- Hiroshima Prefectural Center for Disease Control and Prevention, 10-52, Motomachi, Naka-ku, Hiroshima 730-8511, Japan;
| | - Junko Tanaka
- Department of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Science, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima 734-8551, Japan; (K.K.); (K.T.); (S.N.); (B.E.); (S.O.); (M.R.A.H.); (A.S.); (T.A.)
- Correspondence:
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Gao B, Rojas Chavez AA, Malkawi WI, Keefe DW, Smith R, Haim H, Salem AK, Toor F. Sensitive detection of SARS-CoV-2 spike protein using vertically-oriented silicon nanowire array-based biosensor. SENSING AND BIO-SENSING RESEARCH 2022; 36:100487. [PMID: 35340912 PMCID: PMC8937609 DOI: 10.1016/j.sbsr.2022.100487] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 02/23/2022] [Accepted: 03/18/2022] [Indexed: 11/06/2022] Open
Abstract
The COVID-19 pandemic has caused tremendous damage to the world. In order to quickly and accurately diagnose the virus and contain the spread, there is a need for rapid, sensitive, accurate, and cost-effective SARS-CoV-2 biosensors. In this paper, we report on a novel biosensor based on angiotensin converting enzyme 2 (ACE-2)-conjugated vertically-oriented silicon nanowire (vSiNW) arrays that can detect the SARS-CoV-2 spike protein with high sensitivity and selectivity relative to negative controls. First, we demonstrate the efficacy of using ACE-2 receptor to detect the SARS-CoV-2 spike protein via a capture assay test, which confirms high specificity of ACE-2 against the mock protein, and high affinity between the spike and ACE-2. We then report on results for ACE-2-conjugated vSiNW arrays where the biosensor device architecture is based on a p-n junction transducer. We confirm via analytical modeling that the transduction mechanism of the biosensor involves induced surface charge depletion of the vSiNWs due to negative electrostatic surface potential induced by the spike protein after binding with ACE-2. This vSiNW surface charge modulation is measured via current-voltage characteristics of the functionalized biosensor. Calibrated concentration dependent electrical response of the vSiNW sensor confirms the limit-of-detection for virus spike concentration of 100 ng/ml (or 575 pM). The vSiNW sensor also exhibits highly specific response to the spike protein with respect to negative controls, offering a promising point-of-care detection method for SARS-CoV-2.
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