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Shang Z, Liu S, Liu D, Pei X, Li S, He Y, Tong Y, Liu G. CRISPR/Cas12a with Universal crRNA for Indiscriminate Virus Detection. Molecules 2024; 29:6066. [PMID: 39770154 PMCID: PMC11676733 DOI: 10.3390/molecules29246066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2024] [Revised: 12/02/2024] [Accepted: 12/05/2024] [Indexed: 01/11/2025] Open
Abstract
Viruses, known for causing widespread biological harm and even extinction, pose significant challenges to public health. Virus detection is crucial for accurate disease diagnosis and preventing the spread of infections. Recently, the outstanding analytical performance of CRISPR/Cas biosensors has shown great potential and they have been considered as augmenting methods for reverse-transcription polymerase chain reaction (RT-PCR), which was the gold standard for nucleic acid detection. We herein utilized Cas12a with universal CRISPR RNA (crRNA) for indiscriminate virus detection by attaching the target to a longer track strand for isothermal amplification. The amplified products contain a domain that is recognized by the Cas12a/crRNA complex, triggering the cleavage of surrounding reporters to produce signals, thereby escaping the target dependence of crRNA recognition. The proposed method allows the same crRNA to detect multiple viral nucleic acids with high sensitivity, including but not limited to SARS-CoV-2, human papillomaviruses (HPV), HCOV-NL63, HCOV-HKU1, and miRNA biomarkers. Taking SARS-CoV-2 and HPV16 pseudoviruses as examples, this method was proved as a versatile and sensitive platform for molecular diagnostic applications.
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Affiliation(s)
- Zhenlin Shang
- School of Light Industry Science and Engineering, Beijing Technology and Business University, Beijing 100048, China
| | - Sitong Liu
- School of Light Industry Science and Engineering, Beijing Technology and Business University, Beijing 100048, China
| | - Dongxu Liu
- School of Light Industry Science and Engineering, Beijing Technology and Business University, Beijing 100048, China
| | - Xiaojing Pei
- School of Light Industry Science and Engineering, Beijing Technology and Business University, Beijing 100048, China
| | - Shujing Li
- School of Light Industry Science and Engineering, Beijing Technology and Business University, Beijing 100048, China
| | - Yifan He
- School of Light Industry Science and Engineering, Beijing Technology and Business University, Beijing 100048, China
| | - Yigang Tong
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
| | - Guoqi Liu
- Biotecnovo (Beijing) Co., Ltd., Room 801 Suit C Hengtai Center, Building 3 Gate, 18 North Feng Road, Fengtai District, Beijing 100176, China
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2
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Zhang D, Shuai M, Zhang C, Wang Y, Chen G. Establishment of a graphene oxide-assisted nucleic acid chromatography strip detection technology for Prorocentrum minimum. MARINE POLLUTION BULLETIN 2024; 202:116354. [PMID: 38642479 DOI: 10.1016/j.marpolbul.2024.116354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Revised: 03/28/2024] [Accepted: 04/06/2024] [Indexed: 04/22/2024]
Abstract
In recent decades, the harmful algal blooms (HABs) caused by Prorocentrum minimum have caused serious environmental damage and economic losses. The detection of P. minimum plays an important role in warning the outbreak of P. minimum-forming HABs. By utilizing the powerful absorption of graphene oxide (GO) on short-stranded DNA, a GO-assisted nucleic acid chromatography strip (GO-NACS) was proposed here to achieve a highly sensitive, specific, intuitive, and convenient detection of P. minimum. In particular, this study used our previously reported conventional-NACS (C-NACS) as a control to evaluate the improvement of detection performance with the use of GO. The performance of GO-NACS was evaluated from the perspectives of specificity, sensitivity, stability, and practicality. The specificity test demonstrated that it had a high degree of specificity and did not display cross-reacting with non-target algal species. The sensitivity test with the genomic DNA indicated that it had a detection limit of 1.30 × 10-3 ng μL-1, representing a 10-fold higher sensitivity than C-NACS and a 100-fold higher sensitivity than agarose gel electrophoresis (AGE). The interference test with non-target algal species demonstrated that it had a good detection stability, and the interfering algal species had no obvious effect on the detection of P. minimum. The practicality test with simulated natural water samples showed that the cellular detection limit of GO-NACS was 6.8 cells mL-1, which was 10-fold and 100-fold lower than that of C-NACS and AGE, respectively. In conclusion, the established GO-NACS may offer a novel alternative technique for the detection of P. minimum while guaranteeing specificity and enhancing sensitivity without requiring extensive apparatus.
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Affiliation(s)
- Dong Zhang
- School of Marine Science and Technology, Harbin Institute of Technology (Weihai), Weihai 264209, PR China
| | - Mao Shuai
- School of Marine Science and Technology, Harbin Institute of Technology (Weihai), Weihai 264209, PR China
| | - Chunyun Zhang
- School of Marine Science and Technology, Harbin Institute of Technology (Weihai), Weihai 264209, PR China.
| | - Yuanyuan Wang
- School of Marine Science and Technology, Harbin Institute of Technology (Weihai), Weihai 264209, PR China
| | - Guofu Chen
- School of Marine Science and Technology, Harbin Institute of Technology (Weihai), Weihai 264209, PR China.
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Ilyas A, Dyussupova A, Sultangaziyev A, Shevchenko Y, Filchakova O, Bukasov R. SERS immuno- and apta-assays in biosensing/bio-detection: Performance comparison, clinical applications, challenges. Talanta 2023; 265:124818. [PMID: 37453393 DOI: 10.1016/j.talanta.2023.124818] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 06/09/2023] [Accepted: 06/12/2023] [Indexed: 07/18/2023]
Abstract
Surface Enhanced Raman Spectroscopy is increasingly used as a sensitive bioanalytical tool for detection of variety of analytes ranging from viruses and bacteria to cancer biomarkers and toxins, etc. This comprehensive review describes principles of operation and compares the performance of immunoassays and aptamer assays with Surface Enhanced Raman scattering (SERS) detection to each other and to some other bioassay methods, including ELISA and fluorescence assays. Both immuno- and aptamer-based assays are categorized into assay on solid substrates, assays with magnetic nanoparticles and assays in laminar flow or/and strip assays. The best performing and recent examples of assays in each category are described in the text and illustrated in the figures. The average performance, particularly, limit of detection (LOD) for each of those methods reflected in 9 tables of the manuscript and average LODs are calculated and compared. We found out that, on average, there is some advantage in terms of LOD for SERS immunoassays (0.5 pM median LOD of 88 papers) vs SERS aptamer-based assays (1.7 pM median LOD of 51 papers). We also tabulated and analyzed the clinical performance of SERS immune and aptamer assays, where selectivity, specificity, and accuracy are reported, we summarized the best examples. We also reviewed challenges to SERS bioassay performance and real-life application, including non-specific protein binding, nanoparticle aggregation, limited nanotag stability, sometimes, relatively long time to results, etc. The proposed solutions to those challenges are also discussed in the review. Overall, this review may be interesting not only to bioanalytical chemist, but to medical and life science researchers who are interested in improvement of bioanalyte detection and diagnostics.
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Affiliation(s)
- Aisha Ilyas
- Department of Chemistry, SSH, Nazarbayev University, Astana, Kazakhstan
| | | | | | - Yegor Shevchenko
- Department of Chemistry, SSH, Nazarbayev University, Astana, Kazakhstan
| | - Olena Filchakova
- Department of Biology, SSH, Nazarbayev University, Astana, Kazakhstan
| | - Rostislav Bukasov
- Department of Chemistry, SSH, Nazarbayev University, Astana, Kazakhstan.
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Kim U, Lee SY, Oh SW. Thermophilic helicase-dependent amplification-based CRISPR/Cas12a system: Detection of stx2 in Escherichia coli O157:H7 by controlling primer dimers. Anal Chim Acta 2023; 1239:340679. [PMID: 36628706 DOI: 10.1016/j.aca.2022.340679] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 11/25/2022] [Accepted: 11/26/2022] [Indexed: 12/04/2022]
Abstract
BACKGROUND s: To overcome the limitation of polymerase chain reaction (PCR), isothermal amplification methods such as thermophilic helicase-dependent amplification (tHDA) have been developed. However, formation of primer dimer due to the single amplification temperature are major problems of tHDA. When cross-dimerization of forward and reverse primer occurred, false-positive results can be found on the lateral flow assay (LFA) which is one of the major detection methods widely used as a point of care diagnosis. Therefore, specific method of detecting only the target amplicon is required. RESULTS In this study, a tHDA-based CRISPR/Cas12a system was developed to detect low levels of Escherichia coli O157:H7 in fresh salad mix without the false-positive results produced by primer dimers. For the comparison of the effect in eliminating false-positive results by CRISPR/Cas12a system, LFA was also evaluated. The tHDA-based CRISPR/Cas12a system detected as low as 101 CFU/mL E. coli O157:H7 in bacterial pure culture. In LFA false-positive results were produced due to the primer dimer, whereas the primer dimer produced by tHDA was not detected in the CRISPR/Cas12a system. These results indicated that the CRISPR/Cas12a system eliminated the formation of primer dimer. In fresh salad mix, the tHDA-based CRISPR/Cas12a system combined with the filter concentration method detected 103 CFU/g E. coli O157:H7. CONCLUSION This study was the first to amplify stx2 of E. coli O157:H7 with tHDA as an isothermal amplification method and detected the amplicon without false-positive results by combining tHDA with CRISPR/Cas12a. Therefore, this study showed great potential for detecting low levels of E. coli O157:H7 present in fresh salad mix.
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Affiliation(s)
- Unji Kim
- Department of Food and Nutrition, Kookmin University, Seoul, Republic of Korea
| | - So-Young Lee
- Department of Food and Nutrition, Kookmin University, Seoul, Republic of Korea
| | - Se-Wook Oh
- Department of Food and Nutrition, Kookmin University, Seoul, Republic of Korea.
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Wang H, Wu Q, Zhou M, Li C, Yan C, Huang L, Qin P. Development of a CRISPR/Cas9-integrated lateral flow strip for rapid and accurate detection of Salmonella. Food Control 2022. [DOI: 10.1016/j.foodcont.2022.109203] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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Zeng Y, Zhou L, Yang Z, Yu X, Song Z, He Y. High sensitivity SARS-CoV-2 detection using graphene oxide-multiplex qPCR. Anal Chim Acta 2022; 1234:340533. [PMID: 36328724 PMCID: PMC9578719 DOI: 10.1016/j.aca.2022.340533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 09/09/2022] [Accepted: 10/16/2022] [Indexed: 11/25/2022]
Abstract
The emerging pandemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) critically challenges early and accurate virus diagnoses. However, the current gold standard for SARS-CoV-2 detection, reverse transcription-quantitative polymerase chain reaction (RT-qPCR), has reportedly failed to detect low-viral loads. One compound, graphene oxide (GO), which adsorbs single-stranded DNA (ssDNA), has been widely applied in molecular pathogen detection. This study presents a highly sensitive GO-multiplex qPCR method for simultaneous detection of two SARS-CoV-2 genes (RdRP and E) and one reference gene (RNase P). In a GO-multiplex qPCR system, GO pre-absorbs each forward primer to form specific GO-forward primer composites before entering the amplification system. Target gene amplification is confined within the primer-enriched composites, thus, improving the sensitivity of the assay. Compared to conventional multiplex qPCR, GO-multiplex qPCR reduces the limit of detection by 10-fold to 10 copies/reaction. Hence, the GO-multiplex qPCR assay can be effectively used for SARS-CoV-2 detection.
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Affiliation(s)
- Yuanyuan Zeng
- State Key Laboratory of Southwestern Chinese Medicine Resources, College of Medical Technology, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, 611137, China
| | - Lili Zhou
- School of Laboratory Medicine, Chengdu Medical College, Chengdu, Sichuan, 610500, China
| | - Zhongzhu Yang
- State Key Laboratory of Southwestern Chinese Medicine Resources, College of Medical Technology, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, 611137, China
| | - Xiuzhong Yu
- Department of Laboratory Medicine, People's Hospital of Xinjin District, Chengdu, Sichuan, 611430, China
| | - Zhen Song
- State Key Laboratory of Southwestern Chinese Medicine Resources, College of Medical Technology, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, 611137, China
| | - Yang He
- State Key Laboratory of Southwestern Chinese Medicine Resources, College of Medical Technology, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, 611137, China.
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Sena-Torralba A, Álvarez-Diduk R, Parolo C, Piper A, Merkoçi A. Toward Next Generation Lateral Flow Assays: Integration of Nanomaterials. Chem Rev 2022; 122:14881-14910. [PMID: 36067039 PMCID: PMC9523712 DOI: 10.1021/acs.chemrev.1c01012] [Citation(s) in RCA: 118] [Impact Index Per Article: 39.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
![]()
Lateral flow assays (LFAs) are currently the most used
point-of-care
sensors for both diagnostic (e.g., pregnancy test, COVID-19 monitoring)
and environmental (e.g., pesticides and bacterial monitoring) applications.
Although the core of LFA technology was developed several decades
ago, in recent years the integration of novel nanomaterials as signal
transducers or receptor immobilization platforms has brought improved
analytical capabilities. In this Review, we present how nanomaterial-based
LFAs can address the inherent challenges of point-of-care (PoC) diagnostics
such as sensitivity enhancement, lowering of detection limits, multiplexing,
and quantification of analytes in complex samples. Specifically, we
highlight the strategies that can synergistically solve the limitations
of current LFAs and that have proven commercial feasibility. Finally,
we discuss the barriers toward commercialization and the next generation
of LFAs.
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Affiliation(s)
- Amadeo Sena-Torralba
- Nanobioelectronics & Biosensors Group, Institut Català de Nanociència I Nanotecnologia (ICN2), CSIC and The Barcelona Institute of Science and Technology (BIST), Campus UAB, Bellaterra, 08193 Barcelona, Spain.,Instituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Universitat Politècnica de València, Universitat de València, Camino de Vera s/n, 46022 Valencia, Spain
| | - Ruslan Álvarez-Diduk
- Nanobioelectronics & Biosensors Group, Institut Català de Nanociència I Nanotecnologia (ICN2), CSIC and The Barcelona Institute of Science and Technology (BIST), Campus UAB, Bellaterra, 08193 Barcelona, Spain
| | - Claudio Parolo
- Barcelona Institute for Global Health (ISGlobal) Hospital Clínic-Universitat de Barcelona, Carrer del Rosselló 132, 08036 Barcelona, Spain
| | - Andrew Piper
- Nanobioelectronics & Biosensors Group, Institut Català de Nanociència I Nanotecnologia (ICN2), CSIC and The Barcelona Institute of Science and Technology (BIST), Campus UAB, Bellaterra, 08193 Barcelona, Spain
| | - Arben Merkoçi
- Nanobioelectronics & Biosensors Group, Institut Català de Nanociència I Nanotecnologia (ICN2), CSIC and The Barcelona Institute of Science and Technology (BIST), Campus UAB, Bellaterra, 08193 Barcelona, Spain.,Catalan Institution for Research and Advanced Studies (ICREA), Pg. Lluís Companys 23, 08010 Barcelona, Spain
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8
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Wang Y, Chen H, Wei H, Rong Z, Wang S. Tetra-primer ARMS-PCR combined with dual-color fluorescent lateral flow assay for the discrimination of SARS-CoV-2 and its mutations with a handheld wireless reader. LAB ON A CHIP 2022; 22:1531-1541. [PMID: 35266944 DOI: 10.1039/d1lc01167g] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
Several virulent variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have emerged along with the spread of this virus throughout the population. Some variants can exhibit increased transmissibility and reduced immune neutralization reactivity. These changes are deeply concerning issues that may hinder the ongoing effort of epidemic control measures, especially mass vaccination campaigns. The accurate discrimination of SARS-CoV-2 and its emerging variants is essential to contain the coronavirus disease 2019 pandemic. Herein, we report a low-cost, facile, and highly sensitive diagnostic platform that can simultaneously distinguish wild-type (WT) SARS-CoV-2 and its two mutations, namely, D614G and N501Y, within 2 h. WT or mutant (M) nucleic acid fragments at each allelic locus were selectively amplified by the tetra-primer amplification refractory mutation system (ARMS)-PCR assay. Allele-specific amplicons were simultaneously detected by two test lines on a quantum dot nanobead (QB)-based dual-color fluorescent test strip, which could be interpreted by the naked eye or by a home-made fluorescent strip readout device that was wirelessly connected to a smartphone for quantitative data analysis and result presentation. The WT and M viruses were indicated and were strictly discriminated by the presence of a green or red band on test line 1 for the D614G site and test line 2 for the N501Y site. The limits of detection (LODs) for the WT and M D614G were estimated as 78.91 and 33.53 copies per μL, respectively. This assay was also modified for the simultaneous detection of the N and ORF1ab genes of SARS-CoV-2 with LODs of 1.90 and 6.07 copies per μL, respectively. The proposed platform can provide a simple, accurate, and affordable diagnostic approach for the screening of SARS-CoV-2 and its variants of concern even in resource-limited settings.
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Affiliation(s)
- Yunxiang Wang
- Beijing Institute of Radiation Medicine, Beijing 100850, P. R. China.
- Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases, Beijing 100850, P. R. China
| | - Hong Chen
- Beijing Institute of Radiation Medicine, Beijing 100850, P. R. China.
- Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases, Beijing 100850, P. R. China
| | - Hongjuan Wei
- Beijing Institute of Radiation Medicine, Beijing 100850, P. R. China.
- Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases, Beijing 100850, P. R. China
| | - Zhen Rong
- Beijing Institute of Radiation Medicine, Beijing 100850, P. R. China.
- Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases, Beijing 100850, P. R. China
| | - Shengqi Wang
- Beijing Institute of Radiation Medicine, Beijing 100850, P. R. China.
- Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases, Beijing 100850, P. R. China
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Wang J, Zhu L, Li T, Li X, Huang K, Xu W. Multiple functionalities of functional nucleic acids for developing high-performance lateral flow assays. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116529] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
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10
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Sang P, Hu Z, Cheng Y, Yu H, Xie Y, Yao W, Guo Y, Qian H. Nucleic Acid Amplification Techniques in Immunoassay: An Integrated Approach with Hybrid Performance. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2021; 69:5783-5797. [PMID: 34009975 DOI: 10.1021/acs.jafc.0c07980] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
An immunoassay is mostly employed for the direct detection of food contaminants, and a molecular assay for targeting nucleic acids employs amplification techniques for distinguishing genes. The integration of an immunoassay with nucleic acid amplification techniques inherits the direct and rapid performance of an immunoassay and the ultrasensitive merit of a molecular assay. Enthusiastic attention has been attracted in recent years on the utilization of isothermal amplification techniques in an immunoassay, as well as the employment of a lateral flow immunoassay in a molecular assay. Thus, this Review discussed these kinds of approaches from two categories: immuno-nucleic acid amplification (I-NAA) and nucleic acid amplification-immunoassay (NAA-I). The advantages, drawbacks, and future developments were discussed for a comprehensive understanding.
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Affiliation(s)
- Panting Sang
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China
- National Center for Technology Innovation on Fast Biological Detection of Grain Quality and Safety, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Zhigang Hu
- Wuxi Children's Hospital, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi 214122, China
| | - Yuliang Cheng
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China
- National Center for Technology Innovation on Fast Biological Detection of Grain Quality and Safety, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Hang Yu
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China
- National Center for Technology Innovation on Fast Biological Detection of Grain Quality and Safety, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Yunfei Xie
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China
- National Center for Technology Innovation on Fast Biological Detection of Grain Quality and Safety, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Weirong Yao
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China
- National Center for Technology Innovation on Fast Biological Detection of Grain Quality and Safety, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Yahui Guo
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China
- National Center for Technology Innovation on Fast Biological Detection of Grain Quality and Safety, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - He Qian
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China
- National Center for Technology Innovation on Fast Biological Detection of Grain Quality and Safety, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
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Liu Y, Zhan L, Qin Z, Sackrison J, Bischof JC. Ultrasensitive and Highly Specific Lateral Flow Assays for Point-of-Care Diagnosis. ACS NANO 2021; 15:3593-3611. [PMID: 33607867 DOI: 10.1021/acsnano.0c10035] [Citation(s) in RCA: 273] [Impact Index Per Article: 68.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
Lateral flow assays (LFAs) are paper-based point-of-care (POC) diagnostic tools that are widely used because of their low cost, ease of use, and rapid format. Unfortunately, traditional commercial LFAs have significantly poorer sensitivities (μM) and specificities than standard laboratory tests (enzyme-linked immunosorbent assay, ELISA: pM-fM; polymerase chain reaction, PCR: aM), thus limiting their impact in disease control. In this Perspective, we review the evolving efforts to increase the sensitivity and specificity of LFAs. Recent work to improve the sensitivity through assay improvement includes optimization of the assay kinetics and signal amplification by either reader systems or additional reagents. Together, these efforts have produced LFAs with ELISA-level sensitivities (pM-fM). In addition, sample preamplification can be applied to both nucleic acids (direct amplification) and other analytes (indirect amplification) prior to LFA testing, which can lead to PCR-level (aM) sensitivity. However, these amplification strategies also increase the detection time and assay complexity, which inhibits the large-scale POC use of LFAs. Perspectives to achieve future rapid (<30 min), ultrasensitive (PCR-level), and "sample-to-answer" POC diagnostics are also provided. In the case of LFA specificity, recent research efforts have focused on high-affinity molecules and assay optimization to reduce nonspecific binding. Furthermore, novel highly specific molecules, such as CRISPR/Cas systems, can be integrated into diagnosis with LFAs to produce not only ultrasensitive but also highly specific POC diagnostics. In summary, with continuing improvements, LFAs may soon offer performance at the POC that is competitive with laboratory techniques while retaining a rapid format.
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Affiliation(s)
- Yilin Liu
- Department of Mechanical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Li Zhan
- Department of Mechanical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Zhenpeng Qin
- Department of Mechanical Engineering, University of Texas at Dallas, Richardson, Texas 75080 United States
- Department of Bioengineering, University of Texas at Dallas, Richardson, Texas 75080, United States
- Department of Surgery, University of Texas Southwestern Medical Center, Dallas, Texas 75390, United States
- Center for Advanced Pain Studies, University of Texas at Dallas, Richardson, Texas 75080, United States
| | - James Sackrison
- 3984 Hunters Hill Way, Minnetonka, Minnesota 55345, United States
| | - John C Bischof
- Department of Mechanical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
- Director, Institute of Engineering in Medicine, University of Minnesota, Minneapolis, Minnesota 55455, United States
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12
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Ménard-Moyon C, Bianco A, Kalantar-Zadeh K. Two-Dimensional Material-Based Biosensors for Virus Detection. ACS Sens 2020; 5:3739-3769. [PMID: 33226779 DOI: 10.1021/acssensors.0c01961] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Viral infections are one of the major causes of mortality and economic losses worldwide. Consequently, efficient virus detection methods are crucial to determine the infection prevalence. However, most detection methods face challenges related to false-negative or false-positive results, long response times, high costs, and/or the need for specialized equipment and staff. Such issues can be overcome by access to low-cost and fast response point-of-care detection systems, and two-dimensional materials (2DMs) can play a critical role in this regard. Indeed, the unique and tunable physicochemical properties of 2DMs provide many advantages for developing biosensors for viral infections with high sensitivity and selectivity. Fast, accurate, and reliable detection, even at early infection stages by the virus, can be potentially enabled by highly accessible surface interactions between the 2DMs and the analytes. High selectivity can be obtained by functionalization of the 2DMs with antibodies, nucleic acids, proteins, peptides, or aptamers, allowing for specific binding to a particular virus, viral fingerprints, or proteins released by the host organism. Multiplexed detection and discrimination between different virus strains are also feasible. In this Review, we present a comprehensive overview of the major advances of 2DM-based biosensors for the detection of viruses. We describe the main factors governing the efficient interactions between viruses and 2DMs, making them ideal candidates for the detection of viral infections. We also critically detail their advantages and drawbacks, providing insights for the development of future biosensors for virus detection. Lastly, we provide suggestions to stimulate research in the fast expanding field of 2DMs that could help in designing advanced systems for preventing virus-related pandemics.
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Affiliation(s)
- Cécilia Ménard-Moyon
- CNRS, Immunology, Immunopathology and Therapeutic Chemistry, UPR3572, University of Strasbourg, ISIS, Strasbourg 67000, France
| | - Alberto Bianco
- CNRS, Immunology, Immunopathology and Therapeutic Chemistry, UPR3572, University of Strasbourg, ISIS, Strasbourg 67000, France
| | - Kourosh Kalantar-Zadeh
- School of Chemical Engineering, University of New South Wales, Kensington, New South Wales 2052, Australia
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Kumar Y, Narsaiah K. Rapid point-of-care testing methods/devices for meat species identification: A review. Compr Rev Food Sci Food Saf 2020; 20:900-923. [PMID: 33443804 DOI: 10.1111/1541-4337.12674] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 08/30/2020] [Accepted: 10/25/2020] [Indexed: 12/15/2022]
Abstract
The authentication of animal species is an important issue due to an increasing trend of adulteration and mislabeling of animal species in processed meat products. Polymerase chain reaction is the most sensitive and specific technique for nucleic acid-based animal species detection. However, it is a time-consuming technique that requires costly thermocyclers and sophisticated labs. In recent times, there is a need of on-site detection by point-of-care (POC) testing methods and devices under low-resource settings. These POC devices must be affordable, sensitive, specific, user-friendly, rapid and robust, equipment free, and delivered to the end users. POC devices should also confirm the concept of micro total analysis system. This review discusses POC testing methods and devices that have been developed for meat species identification. Recent developments in lateral flow assay-based devices for the identification of animal species in meat products are also reviewed. Advancements in increasing the efficiency of lateral flow detection are also discussed.
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Affiliation(s)
- Yogesh Kumar
- Department of Agricultural Structures and Environmental Control, ICAR-Central Institute of Post-Harvest Engineering and Technology (CIPHET), Ludhiana, India
| | - Kairam Narsaiah
- Department of Agricultural Structures and Environmental Control, ICAR-Central Institute of Post-Harvest Engineering and Technology (CIPHET), Ludhiana, India
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14
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van Dongen JE, Berendsen JTW, Steenbergen RDM, Wolthuis RMF, Eijkel JCT, Segerink LI. Point-of-care CRISPR/Cas nucleic acid detection: Recent advances, challenges and opportunities. Biosens Bioelectron 2020; 166:112445. [PMID: 32758911 PMCID: PMC7382963 DOI: 10.1016/j.bios.2020.112445] [Citation(s) in RCA: 226] [Impact Index Per Article: 45.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Revised: 07/02/2020] [Accepted: 07/10/2020] [Indexed: 12/17/2022]
Abstract
With the trend of moving molecular tests from clinical laboratories to on-site testing, there is a need for nucleic acid based diagnostic tools combining the sensitivity, specificity and flexibility of established diagnostics with the ease, cost effectiveness and speed of isothermal amplification and detection methods. A promising new nucleic acid detection method is Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)-associated nuclease (Cas)-based sensing. In this method Cas effector proteins are used as highly specific sequence recognition elements that can be combined with many different read-out methods for on-site point-of-care testing. This review covers the technical aspects of integrating CRISPR/Cas technology in miniaturized sensors for analysis on-site. We start with a short introduction to CRISPR/Cas systems and the different effector proteins and continue with reviewing the recent developments of integrating CRISPR sensing in miniaturized sensors for point-of-care applications. Finally, we discuss the challenges of point-of-care CRISPR sensing and describe future research perspectives.
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Affiliation(s)
- Jeanne E van Dongen
- BIOS Lab on a Chip group, Technical Medical Centre, MESA+ Institute for Nanotechnology, University of Twente, P.O. box 217, 7500, AE, Enschede, the Netherlands.
| | - Johanna T W Berendsen
- BIOS Lab on a Chip group, Technical Medical Centre, MESA+ Institute for Nanotechnology, University of Twente, P.O. box 217, 7500, AE, Enschede, the Netherlands
| | - Renske D M Steenbergen
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Pathology, Cancer Center Amsterdam, De Boelelaan 1117, Amsterdam, Netherlands
| | - Rob M F Wolthuis
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Clinical Genetics, Cancer Center Amsterdam, De Boelelaan 1117, Amsterdam, Netherlands
| | - Jan C T Eijkel
- BIOS Lab on a Chip group, Technical Medical Centre, MESA+ Institute for Nanotechnology, University of Twente, P.O. box 217, 7500, AE, Enschede, the Netherlands
| | - Loes I Segerink
- BIOS Lab on a Chip group, Technical Medical Centre, MESA+ Institute for Nanotechnology, University of Twente, P.O. box 217, 7500, AE, Enschede, the Netherlands
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15
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Qin P, Xu J, Yao L, Wu Q, Yan C, Lu J, Yao B, Liu G, Chen W. Simultaneous and accurate visual identification of chicken, duck and pork components with the molecular amplification integrated lateral flow strip. Food Chem 2020; 339:127891. [PMID: 32861930 DOI: 10.1016/j.foodchem.2020.127891] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 08/12/2020] [Accepted: 08/17/2020] [Indexed: 02/01/2023]
Abstract
We propose a visual strategy for simultaneous detection of multiple adulterated components in beef by integration of multiple polymerase chain reaction (mPCR) with the lateral flow strip (LFS). The primer sets for adulterated components are uniquely designed with different nucleic acid tags (NAT), enabling the amplicons with specific wobbled sequences at two opposite ends. The wobbled sequences will precisely hybridize with the pre-immobilized capture probes on T lines (T1, T2 and T3) and C line, contributing to the coloration of LFS. Taking advantages of extraordinary amplification efficiency of PCR and simplicity of LFS, common adulterated components including chicken, duck and pork can be easily detected with LOD as low as 0.01% (wt%), which is comparable to that of quantitative real-time polymerase chain reaction (qPCR) but with more simplified operations and reduced costs. The method can be extended to identification of other components by replacing the functional primer set. This method can be a useful candidate for meat quality control at the resource-limited setups.
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Affiliation(s)
- Panzhu Qin
- Engineering Research Center of Bio-process, MOE, School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, PR China; Research Center for Biomedical and Health Science, School of Life and Health, Anhui Science & Technology University, Fengyang 233100, PR China
| | - Jianguo Xu
- Engineering Research Center of Bio-process, MOE, School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, PR China
| | - Li Yao
- Engineering Research Center of Bio-process, MOE, School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, PR China
| | - Qian Wu
- Engineering Research Center of Bio-process, MOE, School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, PR China
| | - Chao Yan
- Engineering Research Center of Bio-process, MOE, School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, PR China; Research Center for Biomedical and Health Science, School of Life and Health, Anhui Science & Technology University, Fengyang 233100, PR China
| | - Jianfeng Lu
- Engineering Research Center of Bio-process, MOE, School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, PR China.
| | - Bangben Yao
- Engineering Research Center of Bio-process, MOE, School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, PR China; Anhui Province Institute of Product Quality Supervision & Inspection, Hefei 230051, PR China
| | - Guodong Liu
- Research Center for Biomedical and Health Science, School of Life and Health, Anhui Science & Technology University, Fengyang 233100, PR China
| | - Wei Chen
- Engineering Research Center of Bio-process, MOE, School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, PR China.
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16
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Zhang Y, Liu X, Wang L, Yang H, Zhang X, Zhu C, Wang W, Yan L, Li B. Improvement in Detection Limit for Lateral Flow Assay of Biomacromolecules by Test-Zone Pre-enrichment. Sci Rep 2020; 10:9604. [PMID: 32541787 PMCID: PMC7295814 DOI: 10.1038/s41598-020-66456-1] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Accepted: 05/18/2020] [Indexed: 12/26/2022] Open
Abstract
Lateral flow assay (LFA) is one of the most prevalent commercially available techniques for point-of-care tests due to its simplicity, celerity, low cost and robust operation. However, conventional colorimetric LFAs have inferior limits of detection (LODs) compared to sophisticated laboratory-based assays. Here, we report a simple strategy of test-zone pre-enrichment to improve the LOD of LFA by loading samples before the conjugate pad assembly. The developed method enables visual LODs of miR-210 mimic and human chorionic gonadotropin protein, to be improved by 10–100 fold compared with a conventional LFA setup without introducing any additional instrument and reagent except for phosphate running buffer, while no obvious difference occurred for Aflatoxin B1 (AFB1). It takes about 6–8 min to enrich every 50 μL of sample diluted with phosphate running buffer, therefore we can get visual results within 20 min. We identified a parameter by modeling the entire process, the concentration of probe-analyte conjugate at test zone when signaling unit being loaded, to be important for the improvement of visual limit of detection. In addition, the test-zone pre-enrichment did not impair the selectivity when miR-210 mimic was adopted as target. Integrated with other optimization, amplification and modification of LFAs, the developed test-zone pre-enrichment method can be applied to further improve LOD of LFAs.
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Affiliation(s)
- Yi Zhang
- State Key Laboratory of Food Science and Technology, International Joint Laboratory on Food Safety, Collaborative innovation center of food safety and quality control in Jiangsu Province, Institute of Analytical Food Safety, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, PR China.
| | - Xiao Liu
- State Key Laboratory of Food Science and Technology, International Joint Laboratory on Food Safety, Collaborative innovation center of food safety and quality control in Jiangsu Province, Institute of Analytical Food Safety, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, PR China
| | - Lingling Wang
- State Key Laboratory of Food Science and Technology, International Joint Laboratory on Food Safety, Collaborative innovation center of food safety and quality control in Jiangsu Province, Institute of Analytical Food Safety, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, PR China
| | - Hanjie Yang
- State Key Laboratory of Food Science and Technology, International Joint Laboratory on Food Safety, Collaborative innovation center of food safety and quality control in Jiangsu Province, Institute of Analytical Food Safety, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, PR China
| | - Xiaoxiao Zhang
- State Key Laboratory of Food Science and Technology, International Joint Laboratory on Food Safety, Collaborative innovation center of food safety and quality control in Jiangsu Province, Institute of Analytical Food Safety, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, PR China
| | - Chenglong Zhu
- State Key Laboratory of Food Science and Technology, International Joint Laboratory on Food Safety, Collaborative innovation center of food safety and quality control in Jiangsu Province, Institute of Analytical Food Safety, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, PR China
| | - Wenlong Wang
- State Key Laboratory of Food Science and Technology, International Joint Laboratory on Food Safety, Collaborative innovation center of food safety and quality control in Jiangsu Province, Institute of Analytical Food Safety, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, PR China
| | - Lijing Yan
- Jiangnan University Hospital, Wuxi, 214122, PR China
| | - Bowei Li
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Research Center for Coastal Environmental Engineering and Technology, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, 264003, PR China
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17
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Hu M, Yuan C, Tian T, Wang X, Sun J, Xiong E, Zhou X. Single-Step, Salt-Aging-Free, and Thiol-Free Freezing Construction of AuNP-Based Bioprobes for Advancing CRISPR-Based Diagnostics. J Am Chem Soc 2020; 142:7506-7513. [DOI: 10.1021/jacs.0c00217] [Citation(s) in RCA: 103] [Impact Index Per Article: 20.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Menglu Hu
- College of Biophotonics & School of Life Sciences, South China Normal University, Guangzhou 510631, China
| | - Chaoqun Yuan
- College of Biophotonics & School of Life Sciences, South China Normal University, Guangzhou 510631, China
| | - Tian Tian
- College of Biophotonics & School of Life Sciences, South China Normal University, Guangzhou 510631, China
| | - Xusheng Wang
- College of Biophotonics & School of Life Sciences, South China Normal University, Guangzhou 510631, China
| | - Jian Sun
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria and Research Center for African Swine Fever Prevention and Control, South China Agricultural University, Guangzhou 510642, China
| | - Erhu Xiong
- College of Biophotonics & School of Life Sciences, South China Normal University, Guangzhou 510631, China
| | - Xiaoming Zhou
- College of Biophotonics & School of Life Sciences, South China Normal University, Guangzhou 510631, China
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18
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Wang X, Xiong E, Tian T, Cheng M, Lin W, Wang H, Zhang G, Sun J, Zhou X. Clustered Regularly Interspaced Short Palindromic Repeats/Cas9-Mediated Lateral Flow Nucleic Acid Assay. ACS NANO 2020; 14:2497-2508. [PMID: 32045522 DOI: 10.1021/acsnano.0c00022] [Citation(s) in RCA: 202] [Impact Index Per Article: 40.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
The lateral flow assay is one of the most convenient analytical techniques for analyzing the immune response, but its applicability to precise genetic analyses is limited by the false-positive signal and tedious and inefficient hybridization steps. Here, we introduce the CRISPR (clustered regularly interspaced short palindromic repeats) /Cas system into the lateral flow assay, termed CRISPR/Cas9-mediated lateral flow nucleic acid assay (CASLFA), to address such issues. In this study, CASLFA is utilized to identify Listeria monocytogenes, genetically modified organisms (GMOs), and African swine fever virus (ASFV) at a detection limit of hundreds of copies of genome samples with high specificity within 1 h. We further evaluated the performance of CASLFA in a nonlaboratory environment and successfully confirmed 27 ASFV-infected samples from 110 suspected swine serum samples, with an accuracy of 100% when compared to real-time PCR (RT-PCR) assay. CASLFA satisfies some of the characteristics of a next-generation molecular diagnostics tool due to its rapidity and accuracy, allowing for point-of-care use without the need for technical expertise and complex ancillary equipment. This method has great potential for gene analysis in resource-poor or nonlaboratory environments.
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Affiliation(s)
- Xusheng Wang
- College of Biophotonics & School of Life Sciences , South China Normal University , Guangzhou 510631 , China
| | - Erhu Xiong
- College of Biophotonics & School of Life Sciences , South China Normal University , Guangzhou 510631 , China
| | - Tian Tian
- College of Biophotonics & School of Life Sciences , South China Normal University , Guangzhou 510631 , China
| | - Meng Cheng
- College of Biophotonics & School of Life Sciences , South China Normal University , Guangzhou 510631 , China
| | - Wei Lin
- College of Biophotonics & School of Life Sciences , South China Normal University , Guangzhou 510631 , China
| | - Heng Wang
- Guangdong Laboratory for Lingnan Modern Agriculture , Guangzhou 510642 , China
- Research Center for African Swine Fever Prevention and Control , South China Agricultural University , Guangzhou 510642 , China
| | - Guihong Zhang
- Guangdong Laboratory for Lingnan Modern Agriculture , Guangzhou 510642 , China
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria , South China Agricultural University , Guangzhou 510642 , China
- Research Center for African Swine Fever Prevention and Control , South China Agricultural University , Guangzhou 510642 , China
| | - Jian Sun
- Guangdong Laboratory for Lingnan Modern Agriculture , Guangzhou 510642 , China
- National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria , South China Agricultural University , Guangzhou 510642 , China
- Research Center for African Swine Fever Prevention and Control , South China Agricultural University , Guangzhou 510642 , China
| | - Xiaoming Zhou
- College of Biophotonics & School of Life Sciences , South China Normal University , Guangzhou 510631 , China
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19
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Catalytic hairpin assembly-assisted lateral flow assay for visual determination of microRNA-21 using gold nanoparticles. Mikrochim Acta 2019; 186:661. [DOI: 10.1007/s00604-019-3743-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Accepted: 08/10/2019] [Indexed: 01/25/2023]
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20
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Rapid detection method and portable device based on the photothermal effect of gold nanoparticles. Biosens Bioelectron 2019; 123:19-24. [DOI: 10.1016/j.bios.2018.09.039] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2018] [Revised: 09/11/2018] [Accepted: 09/12/2018] [Indexed: 12/11/2022]
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21
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Warkad SD, Nimse SB, Song KS, Kim T. HCV Detection, Discrimination, and Genotyping Technologies. SENSORS (BASEL, SWITZERLAND) 2018; 18:E3423. [PMID: 30322029 PMCID: PMC6210034 DOI: 10.3390/s18103423] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/28/2018] [Revised: 10/05/2018] [Accepted: 10/10/2018] [Indexed: 02/06/2023]
Abstract
According to the World Health Organization (WHO), 71 million people were living with Hepatitis C virus (HCV) infection worldwide in 2015. Each year, about 399,000 HCV-infected people succumb to cirrhosis, hepatocellular carcinoma, and liver failure. Therefore, screening of HCV infection with simple, rapid, but highly sensitive and specific methods can help to curb the global burden on HCV healthcare. Apart from the determination of viral load/viral clearance, the identification of specific HCV genotype is also critical for successful treatment of hepatitis C. This critical review focuses on the technologies used for the detection, discrimination, and genotyping of HCV in clinical samples. This article also focuses on advantages and disadvantages of the reported methods used for HCV detection, quantification, and genotyping.
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Affiliation(s)
- Shrikant Dashrath Warkad
- Institute for Applied Chemistry and Department of Chemistry, Hallym University, Chuncheon 200-702, Korea.
| | - Satish Balasaheb Nimse
- Institute for Applied Chemistry and Department of Chemistry, Hallym University, Chuncheon 200-702, Korea.
| | - Keum-Soo Song
- Institute for Applied Chemistry and Department of Chemistry, Hallym University, Chuncheon 200-702, Korea.
| | - Taisun Kim
- Institute for Applied Chemistry and Department of Chemistry, Hallym University, Chuncheon 200-702, Korea.
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