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Radotić K, Stanković M, Bartolić D, Natić M. Intrinsic Fluorescence Markers for Food Characteristics, Shelf Life, and Safety Estimation: Advanced Analytical Approach. Foods 2023; 12:3023. [PMID: 37628022 PMCID: PMC10453546 DOI: 10.3390/foods12163023] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 07/27/2023] [Accepted: 08/08/2023] [Indexed: 08/27/2023] Open
Abstract
Food is a complex matrix of proteins, fats, minerals, vitamins, and other components. Various analytical methods are currently used for food testing. However, most of the used methods require sample preprocessing and expensive chemicals. New analytical methods are needed for quick and economic measurement of food quality and safety. Fluorescence spectroscopy is a simple and quick method to measure food quality, without sample preprocessing. This technique has been developed for food samples due to the application of a front-face measuring setup. Fluorescent compounds-fluorophores in the food samples are highly sensitive to their environment. Information about molecular structure and changes in food samples is obtained by the measurement of excitation-emission matrices of the endogenous fluorophores and by applying multivariate chemometric tools. Synchronous fluorescence spectroscopy is an advantageous screening mode used in food analysis. The fluorescent markers in food are amino acids tryptophan and tyrosine; the structural proteins collagen and elastin; the enzymes and co-enzymes NADH and FAD; vitamins; lipids; porphyrins; and mycotoxins in certain food types. The review provides information on the principles of the fluorescence measurements of food samples and the advantages of this method over the others. An analysis of the fluorescence spectroscopy applications in screening the various food types is provided.
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Affiliation(s)
- Ksenija Radotić
- Institute for Multidisciplinary Research, University of Belgrade, Kneza Višeslava 1, 11000 Belgrade, Serbia; (M.S.); (D.B.)
- Center for Green Technologies, University of Belgrade, Kneza Višeslava 1, 11000 Belgrade, Serbia
| | - Mira Stanković
- Institute for Multidisciplinary Research, University of Belgrade, Kneza Višeslava 1, 11000 Belgrade, Serbia; (M.S.); (D.B.)
- Center for Green Technologies, University of Belgrade, Kneza Višeslava 1, 11000 Belgrade, Serbia
| | - Dragana Bartolić
- Institute for Multidisciplinary Research, University of Belgrade, Kneza Višeslava 1, 11000 Belgrade, Serbia; (M.S.); (D.B.)
- Center for Green Technologies, University of Belgrade, Kneza Višeslava 1, 11000 Belgrade, Serbia
| | - Maja Natić
- Faculty of Chemistry, University of Belgrade, Studentski trg 12-16, 11000 Belgrade, Serbia;
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Ning X, Mao C, Zhang J, Zhao L. Fluorescence sensing of chloramphenicol based on oxidized single-walled carbon nanohorn/silicon quantum dots- aptamers. J Mol Struct 2022. [DOI: 10.1016/j.molstruc.2022.133829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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3
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Lu C, Li S, Jiang W, Liu Q, Wang X, Yang C, Wang Q. Rapid quantitative detection of chloramphenicol in three food products by lanthanide-labeled fluorescent-nanoparticle immunochromatographic strips. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2022; 14:1705-1714. [PMID: 35438089 DOI: 10.1039/d2ay00291d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
A rapid and sensitive fluorescence-based immunochromatographic test (ICT) was successfully developed to determine chloramphenicol (CAP) levels in three food products. In this method, lanthanide fluorescent microspheres were used as a label to detect CAP in food samples within 30 min quantitatively, and the result was displayed on the test strip reader. After optimizing detection conditions, the detection limit (LOD) for the three food products was 0.048-0.073 ng g-1, and the half-maximal inhibitory concentration (IC50) was 0.27 ng mL-1. Six other veterinary drugs were detected using the test strip, and no cross-reactivity was observed, indicating that the specificity of the method was satisfactory. This method was also successfully applied to determine CAP in honey, egg, and fish samples, with recoveries ranging from 78.73% to 121.12%. The results demonstrated that this test strip had high sensitivity and specificity, and could be used for field detection within 30 min.
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Affiliation(s)
- Chunhui Lu
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, 518 Ziyue Road, Minhang, Shanghai, 200241, PR China.
| | - Si Li
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, 518 Ziyue Road, Minhang, Shanghai, 200241, PR China.
| | - Wei Jiang
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, 518 Ziyue Road, Minhang, Shanghai, 200241, PR China.
| | - Qi Liu
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, 518 Ziyue Road, Minhang, Shanghai, 200241, PR China.
| | - Xiaomei Wang
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, 518 Ziyue Road, Minhang, Shanghai, 200241, PR China.
| | - Chen Yang
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, 518 Ziyue Road, Minhang, Shanghai, 200241, PR China.
| | - Quan Wang
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, 518 Ziyue Road, Minhang, Shanghai, 200241, PR China.
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Fan KJ, Su WH. Applications of Fluorescence Spectroscopy, RGB- and MultiSpectral Imaging for Quality Determinations of White Meat: A Review. BIOSENSORS 2022; 12:bios12020076. [PMID: 35200337 PMCID: PMC8869398 DOI: 10.3390/bios12020076] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 01/21/2022] [Accepted: 01/26/2022] [Indexed: 05/12/2023]
Abstract
Fluorescence spectroscopy, color imaging and multispectral imaging (MSI) have emerged as effective analytical methods for the non-destructive detection of quality attributes of various white meat products such as fish, shrimp, chicken, duck and goose. Based on machine learning and convolutional neural network, these techniques can not only be used to determine the freshness and category of white meat through imaging and analysis, but can also be used to detect various harmful substances in meat products to prevent stale and spoiled meat from entering the market and causing harm to consumer health and even the ecosystem. The development of quality inspection systems based on such techniques to measure and classify white meat quality parameters will help improve the productivity and economic efficiency of the meat industry, as well as the health of consumers. Herein, a comprehensive review and discussion of the literature on fluorescence spectroscopy, color imaging and MSI is presented. The principles of these three techniques, the quality analysis models selected and the research results of non-destructive determinations of white meat quality over the last decade or so are analyzed and summarized. The review is conducted in this highly practical research field in order to provide information for future research directions. The conclusions detail how these efficient and convenient imaging and analytical techniques can be used for non-destructive quality evaluation of white meat in the laboratory and in industry.
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Automatic Range Adjustment of the Fluorescence Immunochromatographic Assay Based on Image Processing. SENSORS 2019; 20:s20010209. [PMID: 31905939 PMCID: PMC6983260 DOI: 10.3390/s20010209] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Revised: 12/20/2019] [Accepted: 12/25/2019] [Indexed: 12/27/2022]
Abstract
As an emerging technology, fluorescence immunochromatographic assay (FICA) has the advantages of high sensitivity, strong stability and specificity, which is widely used in the fields of medical testing, food safety and environmental monitoring. The FICA reader based on image processing meets the needs of point-of-care testing because of its simple operation, portability and fast detection speed. However, the image gray level of common image sensors limits the detection range of the FICA reader, and high-precision image sensors are expensive, which is not conducive to the popularization of the instrument. In this paper, FICA strips' image was collected using a common complementary metal oxide semiconductor (CMOS) image sensor and a range adjustment mechanism was established to automatically adjust the exposure time of the CMOS image sensor to achieve the effect of range expansion. The detection sensitivity showed a onefold increase, and the upper detection limit showed a twofold increase after the proposed method was implemented. In addition, in the experiments of linearity and accuracy, the fitting degree (R2) of the fitted curves both reached 0.999. Therefore, the automatic range adjustment method can obviously improve the detection range of the FICA reader based on image processing.
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Xie S, Wen K, Wang S, Wang J, Peng T, Mari GM, Li J, Wang Z, Yu X, Jiang H. Quantitative and rapid detection of amantadine and chloramphenicol based on various quantum dots with the same excitations. Anal Bioanal Chem 2019; 411:2131-2140. [PMID: 30719563 DOI: 10.1007/s00216-019-01643-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2018] [Revised: 01/05/2019] [Accepted: 01/24/2019] [Indexed: 11/25/2022]
Abstract
Herein, we developed a sensitive and quantitative flow assay for simultaneous detection of amantadine (AMD) and chloramphenicol (CAP) in chicken samples based on different CdSe/ZnS quantum dots (QDs). In contrast to other reports, the QDs could be excited by the same excitations that lowered the requirements for the matching instruments. Under the optimal conditions, the strategy permitted sensitive detection of AMD and CAP in a linear range of 0.23 to 1.02 ng/g and 0.02 to 0.66 ng/g. The limits of detection were 0.18 ng/g and 0.016 ng/g, respectively. Moreover, the whole detection process could be completed within 20 min with no additional sophisticated instruments and complicated operations. Spiked samples were analyzed using both QD-based lateral flow immunoassay (QD-LFIA) and commercial ELISA kits with good correlation (R2 = 0.96). Moreover, this study laid the foundation and simplified the development of the requisite instrument. Graphical abstract ᅟ.
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Affiliation(s)
- Sanlei Xie
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, No.2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China.,Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Beijing Laboratory for Food Quality and Safety, No.2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China
| | - Kai Wen
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, No.2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China.,Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Beijing Laboratory for Food Quality and Safety, No.2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China
| | - Sihan Wang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, No.2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China.,Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Beijing Laboratory for Food Quality and Safety, No.2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China
| | - Jianyi Wang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, No.2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China.,Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Beijing Laboratory for Food Quality and Safety, No.2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China
| | - Tao Peng
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, No.2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China.,Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Beijing Laboratory for Food Quality and Safety, No.2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China
| | - Ghulam Mujtaba Mari
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, No.2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China.,Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Beijing Laboratory for Food Quality and Safety, No.2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China
| | - Jiancheng Li
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, No.2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China.,Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Beijing Laboratory for Food Quality and Safety, No.2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China
| | - Zhanhui Wang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, No.2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China.,Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Beijing Laboratory for Food Quality and Safety, No.2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China
| | - Xuezhi Yu
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, No.2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China. .,Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Beijing Laboratory for Food Quality and Safety, No.2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China.
| | - Haiyang Jiang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, No.2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China. .,Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Beijing Laboratory for Food Quality and Safety, No.2 Yuanmingyuan West Road, Haidian District, Beijing, 100193, China.
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Wang J, Wang Q, Zheng Y, Peng T, Yao K, Xie S, Zhang X, Xia X, Li J, Jiang H. Development of a quantitative fluorescence-based lateral flow immunoassay for determination of chloramphenicol, thiamphenicol and florfenicol in milk. FOOD AGR IMMUNOL 2017. [DOI: 10.1080/09540105.2017.1359498] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Affiliation(s)
- Jianyi Wang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing, People’s Republic of China
| | - Qi Wang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing, People’s Republic of China
| | - Yongjun Zheng
- Department of Mechanical and Electrical Engineering, College of Engineering, China Agricultural University, Beijing, People’s Republic of China
| | - Tao Peng
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing, People’s Republic of China
| | - Kai Yao
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing, People’s Republic of China
| | - Sanlei Xie
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing, People’s Republic of China
| | - Xiya Zhang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing, People’s Republic of China
| | - Xi Xia
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing, People’s Republic of China
| | - Jiancheng Li
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing, People’s Republic of China
| | - Haiyang Jiang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing, People’s Republic of China
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Development of Monoclonal Antibodies against HIV-1 p24 Protein and Its Application in Colloidal Gold Immunochromatographic Assay for HIV-1 Detection. BIOMED RESEARCH INTERNATIONAL 2016; 2016:6743904. [PMID: 27069923 PMCID: PMC4812187 DOI: 10.1155/2016/6743904] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/10/2015] [Accepted: 02/15/2016] [Indexed: 11/17/2022]
Abstract
Human immunodeficiency virus type 1 (HIV-1) p24 protein is the most abundant viral protein of HIV-1. This protein is secreted in blood serum at high levels during the early stages of HIV-1 infection, making it a biomarker for early diagnosis. In this study, a colloidal gold immunochromatographic assay (GICA) was established for detecting p24 protein using mouse monoclonal antibodies (mAbs). The HIV-1 p24 protein was expressed in E. coli strain BL21 and the purified protein was used to immunize mice. Stable hybridoma cell lines secreting anti-p24 monoclonal antibodies were obtained after ELISA screening and subcloning by limiting dilution. 34 different capture and labeling mAb pairs were selected by a novel antibody-capture indirect sandwich ELISA and then applied in GICA to detect p24 protein. The GICA method has a limit of detection (LOD) of 25 pg/mL and could detect p24 protein in all 10 positive samples obtained from the National Reference of HIV-1 p24 antigen. Out of 153 negative samples tested, 3 false positives results were obtained. The overall specificity of this test was 98.03%. The good sensitivity and specificity of this method make it a suitable alternative to provide a more convenient and efficient tool for early diagnosis of HIV infection.
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Wu X, Huang M, Yu S, Kong F. Rapid and quantitative detection of 4(5)-methylimidazole in caramel colours: A novel fluorescent-based immunochromatographic assay. Food Chem 2016. [DOI: 10.1016/j.foodchem.2015.06.037] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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10
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Fang W, Zhang X, Chen Y, Wan L, Huang W, Shen A, Hu J. Portable SERS-enabled Micropipettes for Microarea Sampling and Reliably Quantitative Detection of Surface Organic Residues. Anal Chem 2015; 87:9217-24. [DOI: 10.1021/acs.analchem.5b01635] [Citation(s) in RCA: 71] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Affiliation(s)
- Wei Fang
- Key Laboratory of Analytical
Chemistry for Biology and Medicine, Ministry of Education, College
of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, P. R. China
| | - Xinwei Zhang
- Key Laboratory of Analytical
Chemistry for Biology and Medicine, Ministry of Education, College
of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, P. R. China
| | - Yong Chen
- Key Laboratory of Analytical
Chemistry for Biology and Medicine, Ministry of Education, College
of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, P. R. China
| | - Liang Wan
- Key Laboratory of Analytical
Chemistry for Biology and Medicine, Ministry of Education, College
of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, P. R. China
| | - Weihua Huang
- Key Laboratory of Analytical
Chemistry for Biology and Medicine, Ministry of Education, College
of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, P. R. China
| | - Aiguo Shen
- Key Laboratory of Analytical
Chemistry for Biology and Medicine, Ministry of Education, College
of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, P. R. China
| | - Jiming Hu
- Key Laboratory of Analytical
Chemistry for Biology and Medicine, Ministry of Education, College
of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, P. R. China
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Amjadi M, Jalili R, Manzoori JL. A sensitive fluorescent nanosensor for chloramphenicol based on molecularly imprinted polymer-capped CdTe quantum dots. LUMINESCENCE 2015; 31:633-9. [DOI: 10.1002/bio.3003] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2015] [Revised: 04/22/2015] [Accepted: 07/11/2015] [Indexed: 11/06/2022]
Affiliation(s)
- Mohammad Amjadi
- Department of Analytical Chemistry; Faculty of Chemistry, University of Tabriz; Tabriz 5166616471 Iran
| | - Roghayeh Jalili
- Department of Analytical Chemistry; Faculty of Chemistry, University of Tabriz; Tabriz 5166616471 Iran
| | - Jamshid L. Manzoori
- Department of Analytical Chemistry; Faculty of Chemistry, University of Tabriz; Tabriz 5166616471 Iran
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Chen A, Yang S. Replacing antibodies with aptamers in lateral flow immunoassay. Biosens Bioelectron 2015; 71:230-242. [PMID: 25912679 DOI: 10.1016/j.bios.2015.04.041] [Citation(s) in RCA: 326] [Impact Index Per Article: 36.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2015] [Revised: 04/12/2015] [Accepted: 04/13/2015] [Indexed: 12/30/2022]
Abstract
Aptamers have been identified against various targets as a type of chemical or nucleic acid ligand by systematic evolution of ligands by exponential enrichment (SELEX) with high sensitivity and specificity. Aptamers show remarkable advantages over antibodies due to the nucleic acid nature and target-induced structure-switching properties and are widely used to design various fluorescent, electrochemical, or colorimetric biosensors. However, the practical applications of aptamer-based sensing and diagnostics are still lagging behind those of antibody-based tests. Lateral flow immunoassay (LFIA) represents a well established and appropriate technology among rapid assays because of its low cost and user-friendliness. The antibody-based platform is utilized to detect numerous targets, but it is always hampered by the antibody preparation time, antibody stability, and effect of modification on the antibody. Seeking alternatives to antibodies is an area of active research and is of tremendous importance. Aptamers are receiving increasing attention in lateral flow applications because of a number of important potential performance advantages. We speculate that aptamer-based LFIA may be one of the first platforms for commercial use of aptamer-based diagnosis. This review first gives an introduction to aptamer including the selection process SELEX with its focus on aptamer advantages over antibodies, and then depicts LFIA with its focus on aptamer opportunities in LFIA over antibodies. Furthermore, we summarize the recent advances in the development of aptamer-based lateral flow biosensing assays with the aim to provide a general guide for the design of aptamer-based lateral flow biosensing assays.
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Affiliation(s)
- Ailiang Chen
- Institute of Quality Standards and Testing Technology for Agro-products, Key Laboratory of Agro-product Quality and Safety, Chinese Academy of Agricultural Sciences, Beijing 100081, China; Key Laboratory of Agri-food Quality and Safety, Ministry of Agriculture, Beijing 100081, China.
| | - Shuming Yang
- Institute of Quality Standards and Testing Technology for Agro-products, Key Laboratory of Agro-product Quality and Safety, Chinese Academy of Agricultural Sciences, Beijing 100081, China; Key Laboratory of Agri-food Quality and Safety, Ministry of Agriculture, Beijing 100081, China
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13
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Xu N, Xu L, Ma W, Liu L, Kuang H, Xu C. An ultrasensitive immunochromatographic assay for non-pretreatment monitoring of chloramphenicol in raw milk. FOOD AGR IMMUNOL 2015. [DOI: 10.1080/09540105.2014.998640] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022] Open
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Que X, Tang D, Xia B, Lu M, Tang D. Gold nanocatalyst-based immunosensing strategy accompanying catalytic reduction of 4-nitrophenol for sensitive monitoring of chloramphenicol residue. Anal Chim Acta 2014; 830:42-8. [DOI: 10.1016/j.aca.2014.04.051] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2014] [Revised: 04/21/2014] [Accepted: 04/25/2014] [Indexed: 01/22/2023]
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