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Kaur Rajput J. Nanosensors: A smart remedy for early detection of clenbuterol contamination in food. Food Chem 2023; 426:136569. [PMID: 37302312 DOI: 10.1016/j.foodchem.2023.136569] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 06/01/2023] [Accepted: 06/05/2023] [Indexed: 06/13/2023]
Abstract
Veterinary drugs which are primarily meant for livestock treatment have now been categorised under potential food contaminant due to its unregulated usage and abuse. Their over usage by animal workers lead to production of contaminated animal-based food products which contain veterinary drug residues. These drugs are also misused as growth promoters to enhance the muscle to fat ratio in human body. This review highlights the misuse of such a veterinary drug; Clenbuterol. In this review, we have comprehensively discussed the usage of nanosensors to detect clenbuterol in food samples. Colorimetric, fluorescent, electrochemical, SERS and electrochemiluminescence are major categories of nanosensors that have been utilized for this purpose. The mechanism through which these nanosensors detect clenbuterol have been discussed in detail. The limit of detection and recovery percentage values of each nanosensor have been compared. This review will impart significant information on various nanosensors for clenbuterol detection in real samples.
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Affiliation(s)
- Jaspreet Kaur Rajput
- Department of Chemistry, Dr B R Ambedkar National Institute of Technology, Jalandhar 144011, Punjab, India.
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2
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Hu H, Tian Y, Yin X, Ren J, Su L, Xu J, Jia C, Wang J, Zhang D. A lateral flow immunoassay based on chemisorbed probes in virtue of hydrogen bond receptors on the Bi2S3 NPs. Food Chem 2023; 401:134133. [DOI: 10.1016/j.foodchem.2022.134133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 08/27/2022] [Accepted: 09/03/2022] [Indexed: 11/27/2022]
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3
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Huang Q, Dang L. Graphene-labeled synthetic antigen as a novel probe for enhancing sensitivity and simplicity in lateral flow immunoassay. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2022; 14:1155-1162. [PMID: 35225992 DOI: 10.1039/d1ay02158c] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Lateral flow immunoassay (LFIA), which combines immune-specific recognition properties with sensitive nano-signaling features, has emerged as an excellent tool for point-of-care testing (POCT) in food safety and clinical diagnosis. Exploring novel probes with a simple preparation process, improved signal intensity and good stability is conducive to the development and application of LFIA. Herein, a potent non-antibody probe, graphene-labeled synthetic antigen (G-Ag), was created for LFIA, in which graphene endowed a naked-eye visual colorimetric signal with high sensitivity, and the synthetic antigen competed with the target for binding to the antibody on the test line. During the G-Ag probe manufacturing process, only one simple mixing step was needed because graphene nanosheets presented a strong adsorption capacity toward the protein (BSA) on the synthetic antigen, significantly saving time, labor and cost. Especially, the synthetic antigen forms a fabulous probe element without the need for antibody, and thus the proposed LFIA avoids the destruction of antibody activity, and exhibits excellent sensitivity and stability. After optimization, LFIA was successfully applied to analyze clenbuterol; the lowest visually detectable concentration was 0.1 ng mL-1, and the probe could be well-applied in pork, mutton, sausage and bacon samples, demonstrating favorable specificity and repeatability. Owing to the advantages of simplicity, non-antibody probe, sensitivity and reliability, G-Ag probe-based LFIA has application potential for small-molecule target monitoring and rapid detection.
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Affiliation(s)
- Qiong Huang
- Shanxi Technology and Business College, 030006 Taiyuan, Shanxi Province, People's Republic of China.
| | - Ling Dang
- Shanxi Technology and Business College, 030006 Taiyuan, Shanxi Province, People's Republic of China.
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4
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Peng F, Li B, Sun S, Mi F, Wang Y, Hu C, Geng P, Pang L, Li J, Guan M. A novel fluorescence internal filtration immunoassay for the detection of clenbuterol. Eur Food Res Technol 2021. [DOI: 10.1007/s00217-021-03886-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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5
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Zhang H, Wang L, Yao X, Wang Z, Dou L, Su L, Zhao M, Sun J, Zhang D, Wang J. Developing a Simple Immunochromatography Assay for Clenbuterol with Sensitivity by One-Step Staining. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2020; 68:15509-15515. [PMID: 33331779 DOI: 10.1021/acs.jafc.0c05972] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
An innovative lateral flow competition immunoassay (LFCIA) for detecting clenbuterol (CL) was developed by employing the advantages of the coomassie brilliant blue (CBB) staining method. An antibody stained by CBB was used both as a recognition reagent and as a chromogenic probe, enabling the simple but sensitive LFCIA of CL. The CBB-based LFCIA exhibited sensitivity for CL with a detection limit of 2 ng mL-1. Furthermore, this strategy was preliminarily verified by screening for CL in milk, pork tenderloin, and swine liver with recoveries ranging from 81 to 102%. Compared with conventional LFCIAs, the use of CBB as a signal label not only avoided the complicated material synthesis and surface modification process but also simplified the cross-linking with antibodies, meanwhile reducing the steric hindrance and increasing the possibility of immune recognition reactions, which was propitious for the effective utilization of antibodies. Taking advantages of the simplicity, rapidity, and cost-effectiveness, the CBB-based LFCIA may have potential for on-demand monitoring of general harmful small molecules by changing the kind of the staining antibody.
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Affiliation(s)
- Han Zhang
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, Shaanxi 712100, China
| | - Lulu Wang
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, Shaanxi 712100, China
| | - Xiaolin Yao
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, Shaanxi 712100, China
| | - Zonghan Wang
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, Shaanxi 712100, China
| | - Leina Dou
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, Shaanxi 712100, China
| | - Lihong Su
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, Shaanxi 712100, China
| | - Man Zhao
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, Shaanxi 712100, China
| | - Jing Sun
- Qinghai Key Laboratory of Qinghai-Tibet Plateau Biological Resources, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, 23 Xinning Road, Xining, Qinghai 810008, China
| | - Daohong Zhang
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, Shaanxi 712100, China
| | - Jianlong Wang
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, Shaanxi 712100, China
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6
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Tutorial: design and fabrication of nanoparticle-based lateral-flow immunoassays. Nat Protoc 2020; 15:3788-3816. [PMID: 33097926 DOI: 10.1038/s41596-020-0357-x] [Citation(s) in RCA: 201] [Impact Index Per Article: 50.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Accepted: 05/12/2020] [Indexed: 12/20/2022]
Abstract
Lateral-flow assays (LFAs) are quick, simple and cheap assays to analyze various samples at the point of care or in the field, making them one of the most widespread biosensors currently available. They have been successfully employed for the detection of a myriad of different targets (ranging from atoms up to whole cells) in all type of samples (including water, blood, foodstuff and environmental samples). Their operation relies on the capillary flow of the sample throughout a series of sequential pads, each with different functionalities aiming to generate a signal to indicate the absence/presence (and, in some cases, the concentration) of the analyte of interest. To have a user-friendly operation, their development requires the optimization of multiple, interconnected parameters that may overwhelm new developers. In this tutorial, we provide the readers with: (i) the basic knowledge to understand the principles governing an LFA and to take informed decisions during lateral flow strip design and fabrication, (ii) a roadmap for optimal LFA development independent of the specific application, (iii) a step-by-step example procedure for the assembly and operation of an LF strip for the detection of human IgG and (iv) an extensive troubleshooting section addressing the most frequent issues in designing, assembling and using LFAs. By changing only the receptors, the provided example procedure can easily be adapted for cost-efficient detection of a broad variety of targets.
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The Twice-Oxidized Graphene Oxide/Gold Nanoparticles Composite SERS Substrate for Sensitive Detection of Clenbuterol Residues in Animal-Origin Food Samples. FOOD ANAL METHOD 2020. [DOI: 10.1007/s12161-020-01709-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
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8
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Lai W, Xiong Z, Huang Y, Su F, Zhang G, Huang Z, Peng J, Liu D. Gold nanoflowers labelled lateral flow assay integrated with smartphone for highly sensitive detection of clenbuterol in swine urine. FOOD AGR IMMUNOL 2019. [DOI: 10.1080/09540105.2019.1684451] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022] Open
Affiliation(s)
- Weihua Lai
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, People’s Republic of China
| | - Zhijuan Xiong
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, People’s Republic of China
| | - Youju Huang
- Division of Polymer and Composite Materials, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Science, Ningbo, People’s Republic of China
| | - Fengmei Su
- National Engineering Research Centre for Advanced Polymer Processing Technology, Zhengzhou University, Zhengzhou, People’s Republic of China
| | - Ganggang Zhang
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, People’s Republic of China
| | - Zhen Huang
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, People’s Republic of China
| | - Juan Peng
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, People’s Republic of China
| | - Daofeng Liu
- Jiangxi Province Key Laboratory of Diagnosing and Tracing of Foodborne Disease, Jiangxi Province Centre for Disease Control and Prevention, Nanchang, People’s Republic of China
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9
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Li Y, Zhou Y, Chen X, Huang X, Xiong Y. Comparison of three sample addition methods in competitive and sandwich colloidal gold immunochromatographic assay. Anal Chim Acta 2019; 1094:90-98. [PMID: 31761051 DOI: 10.1016/j.aca.2019.09.079] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Revised: 09/23/2019] [Accepted: 09/28/2019] [Indexed: 01/08/2023]
Abstract
Immunochromatographic assays (ICAs) are mainstream point-of-care diagnostic tools in disease control, food safety, and environmental monitoring. However, the important issue pertaining to the influence of sample addition methods on the detection performance of ICAs has not been addressed, and related information is still lacking. Herein, we selected the well-accepted gold nanoparticles (AuNPs) as visual labels. AuNP-based ICA was then used to explore the effects of three sample addition methods (i.e., dry, wet, and insert) on the analytical performance of ICAs by using competitive and sandwich models. Under optimized conditions, the competitive ICA with clenbuterol as an analyte showed a negligible difference (p > 0.05) in the detection performance of the three methods in ideal phosphate buffered saline solution. However, the wet method demonstrated the worst performance in pork samples (p < 0.05). The sandwich ICA strip with human chorionic gonadotropin as an analyte revealed the significantly different analytical performances of the three approaches in phosphate buffer (PB) solution and spiked serum (p < 0.05). Two independent linear correlations were observed with the increase in target concentration. However, for the wet method in the PB solution and serum, the first linear correlation was at a relatively narrow target concentration range, and the second linear correlation was at a wider concentration range compared with those for the dry and insert methods. Our findings demonstrated that sample addition methods slightly influence competitive ICAs (p > 0.05) but remarkably affect sandwich ICAs (p < 0.05). We believe that this study can further explain the differences in detection results for the same target analyte in actual ICA detection. The results may serve as a reference in the rational selection of the appropriate sample addition method for succeeding ICA works.
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Affiliation(s)
- Yu Li
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, 330047, PR China; School of Food Science and Technology, Nanchang University, Nanchang, 330047, PR China
| | - Yaofeng Zhou
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, 330047, PR China; School of Food Science and Technology, Nanchang University, Nanchang, 330047, PR China
| | - Xirui Chen
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, 330047, PR China; School of Food Science and Technology, Nanchang University, Nanchang, 330047, PR China
| | - Xiaolin Huang
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, 330047, PR China; School of Food Science and Technology, Nanchang University, Nanchang, 330047, PR China.
| | - Yonghua Xiong
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, 330047, PR China; School of Food Science and Technology, Nanchang University, Nanchang, 330047, PR China; Jiangxi-OAI Joint Research Institute, Nanchang University, Nanchang, 330047, PR China.
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Zhao S, Wang S, Zhang S, Liu J, Dong Y. State of the art: Lateral flow assay (LFA) biosensor for on-site rapid detection. CHINESE CHEM LETT 2018. [DOI: 10.1016/j.cclet.2017.12.008] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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11
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Wang X, Lin H, Qu X, Zheng H, Sui J, Cao L. The effect of fish matrix on colloidal gold immunochromatographic assay of antibiotics: the source of interference and removal method. FOOD AGR IMMUNOL 2018. [DOI: 10.1080/09540105.2018.1483900] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Affiliation(s)
- Xiaoxiao Wang
- Food Safety Laboratory, Ocean University of China, Qingdao, People’s Republic of China
| | - Hong Lin
- Food Safety Laboratory, Ocean University of China, Qingdao, People’s Republic of China
| | - Xueli Qu
- Food Safety Laboratory, Ocean University of China, Qingdao, People’s Republic of China
| | - Hongwei Zheng
- Food Safety Laboratory, Ocean University of China, Qingdao, People’s Republic of China
| | - Jianxin Sui
- Food Safety Laboratory, Ocean University of China, Qingdao, People’s Republic of China
| | - Limin Cao
- Food Safety Laboratory, Ocean University of China, Qingdao, People’s Republic of China
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12
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Hu X, Zhang H, Chen S, Yuan R, You J. A signal-on electrochemiluminescence sensor for clenbuterol detection based on zinc-based metal-organic framework–reduced graphene oxide–CdTe quantum dot hybrids. Anal Bioanal Chem 2018; 410:7881-7890. [DOI: 10.1007/s00216-018-1404-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Revised: 08/15/2018] [Accepted: 09/25/2018] [Indexed: 12/17/2022]
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13
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Huang Q, Bu T, Zhang W, Yan L, Zhang M, Yang Q, Huang L, Yang B, Hu N, Suo Y, Wang J, Zhang D. An improved clenbuterol detection by immunochromatographic assay with bacteria@Au composite as signal amplifier. Food Chem 2018; 262:48-55. [PMID: 29751920 DOI: 10.1016/j.foodchem.2018.04.085] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2017] [Revised: 04/04/2018] [Accepted: 04/21/2018] [Indexed: 02/04/2023]
Abstract
Immunochromatographic assays (ICAs) are most frequently used for on-site rapid screening of clenbuterol. To improve sensitivity, a novel probe with bacteria as signal carriers was developed. Bacteria can load a great deal of gold nanoparticles (AuNPs) on their surface, meaning much fewer antibodies are needed to produce clearly visible results, although low concentrations of antibody could also trigger fierce competition between free analyte and the immobilized antigen. Thus, a limited number of antibodies was key to significantly improved sensitivity. Analytical conditions, including bacterial species, coupling method, and concentration, were optimized. The visual detection limit (VDL) for clenbuterol was 0.1 ng/mL, a 20-fold improvement in sensitivity compared with traditional strips. This work has opened up a new route for signal amplification and improved performance of ICAs. Furthermore, inactivated bacteria could also be environment-friendly and robust signal carriers for other biosensors.
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Affiliation(s)
- Qiong Huang
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Tong Bu
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Wentao Zhang
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Lingzhi Yan
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Mengyue Zhang
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Qingfeng Yang
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Lunjie Huang
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Baowei Yang
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Na Hu
- Qinghai Key Laboratory of Qinghai-Tibet Plateau Biological Resources, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Qinghai 810008, China
| | - Yourui Suo
- Qinghai Key Laboratory of Qinghai-Tibet Plateau Biological Resources, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Qinghai 810008, China
| | - Jianlong Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China.
| | - Daohong Zhang
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China.
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Zhang Y, Peng J, Guo P, Li GQ, Zhang KY, Lv X, Lai WH. Matrix effect of swine urine on time-resolved fluorescent nanobeads and colloidal gold immunochromatographic assay. FOOD AGR IMMUNOL 2018. [DOI: 10.1080/09540105.2018.1439456] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Affiliation(s)
- Yong Zhang
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, People’s Republic of China
| | - Juan Peng
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, People’s Republic of China
| | - Ping Guo
- Jiangxi Food Inspection and Testing Research Institute, Nanchang, People’s Republic of China
| | - Guo-Qiang Li
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, People’s Republic of China
| | - Kai-Yi Zhang
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, People’s Republic of China
| | - Xi Lv
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, People’s Republic of China
| | - Wei-Hua Lai
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, People’s Republic of China
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15
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Rapid Detection of Staphylococcus aureus via Recombinase Polymerase Amplification Combined with Lateral Flow Strip. FOOD ANAL METHOD 2018. [DOI: 10.1007/s12161-018-1200-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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16
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Farka Z, Juřík T, Kovář D, Trnková L, Skládal P. Nanoparticle-Based Immunochemical Biosensors and Assays: Recent Advances and Challenges. Chem Rev 2017; 117:9973-10042. [DOI: 10.1021/acs.chemrev.7b00037] [Citation(s) in RCA: 414] [Impact Index Per Article: 59.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Zdeněk Farka
- Central
European Institute of Technology (CEITEC), ‡Department of Biochemistry, Faculty
of Science, and §Department of Chemistry, Faculty of Science, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic
| | - Tomáš Juřík
- Central
European Institute of Technology (CEITEC), ‡Department of Biochemistry, Faculty
of Science, and §Department of Chemistry, Faculty of Science, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic
| | - David Kovář
- Central
European Institute of Technology (CEITEC), ‡Department of Biochemistry, Faculty
of Science, and §Department of Chemistry, Faculty of Science, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic
| | - Libuše Trnková
- Central
European Institute of Technology (CEITEC), ‡Department of Biochemistry, Faculty
of Science, and §Department of Chemistry, Faculty of Science, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic
| | - Petr Skládal
- Central
European Institute of Technology (CEITEC), ‡Department of Biochemistry, Faculty
of Science, and §Department of Chemistry, Faculty of Science, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic
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