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Tang F, Guo Q, Fu L, Huang Y, Zhang Z, Li P, Yu L. Copper-based nanozyme-linked immunosorbent assay for quantitative detection of fumonisin B1. J Food Compost Anal 2025; 138:107012. [DOI: 10.1016/j.jfca.2024.107012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2025]
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2
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Qu Z, Ren X, Du Z, Hou J, Li Y, Yao Y, An Y. Fusarium mycotoxins: The major food contaminants. MLIFE 2024; 3:176-206. [PMID: 38948146 PMCID: PMC11211685 DOI: 10.1002/mlf2.12112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 11/23/2023] [Accepted: 12/13/2023] [Indexed: 07/02/2024]
Abstract
Mycotoxins, which are secondary metabolites produced by toxicogenic fungi, are natural food toxins that cause acute and chronic adverse reactions in humans and animals. The genus Fusarium is one of three major genera of mycotoxin-producing fungi. Trichothecenes, fumonisins, and zearalenone are the major Fusarium mycotoxins that occur worldwide. Fusarium mycotoxins have the potential to infiltrate the human food chain via contamination during crop production and food processing, eventually threatening human health. The occurrence and development of Fusarium mycotoxin contamination will change with climate change, especially with variations in temperature, precipitation, and carbon dioxide concentration. To address these challenges, researchers have built a series of effective models to forecast the occurrence of Fusarium mycotoxins and provide guidance for crop production. Fusarium mycotoxins frequently exist in food products at extremely low levels, thus necessitating the development of highly sensitive and reliable detection techniques. Numerous successful detection methods have been developed to meet the requirements of various situations, and an increasing number of methods are moving toward high-throughput features. Although Fusarium mycotoxins cannot be completely eliminated, numerous agronomic, chemical, physical, and biological methods can lower Fusarium mycotoxin contamination to safe levels during the preharvest and postharvest stages. These theoretical innovations and technological advances have the potential to facilitate the development of comprehensive strategies for effectively managing Fusarium mycotoxin contamination in the future.
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Affiliation(s)
- Zheng Qu
- Agro‐Environmental Protection InstituteMinistry of Agriculture and Rural AffairsTianjinChina
| | - Xianfeng Ren
- Institute of Quality Standard and Testing Technology for Agro‐ProductsShandong Academy of Agricultural SciencesJinanChina
| | - Zhaolin Du
- Agro‐Environmental Protection InstituteMinistry of Agriculture and Rural AffairsTianjinChina
| | - Jie Hou
- Agro‐Environmental Protection InstituteMinistry of Agriculture and Rural AffairsTianjinChina
| | - Ye Li
- Agro‐Environmental Protection InstituteMinistry of Agriculture and Rural AffairsTianjinChina
| | - Yanpo Yao
- Agro‐Environmental Protection InstituteMinistry of Agriculture and Rural AffairsTianjinChina
| | - Yi An
- Agro‐Environmental Protection InstituteMinistry of Agriculture and Rural AffairsTianjinChina
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3
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Guo L, Wang Z, Xu X, Xu L, Kuang H, Xiao J, Xu C. Europium nanosphere-based fluorescence strip sensor for ultrasensitive and quantitative determination of fumonisin B 1. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2020; 12:5229-5235. [PMID: 33084636 DOI: 10.1039/d0ay01734e] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Contamination of grains and related products by fumonisins (FBs) is increasingly becoming a serious food security issue. The aim of this work was to develop a europium fluorescent microsphere-based time-resolved fluorescence immunochromatographic assay (TRFICA) for FB1 detection in different grains, including corn, corn flour, wheat, rice and brown rice. Standard curves for the five types of grain matrix were established, and showed good linearity (R2 > 0.975), LOD of 8.26 μg kg-1, and a wide working range of 13.81-1000 μg kg-1. The recoveries of TRFICA for FB1 detection ranged from 82.85-103.62% with variation coefficients of 1.92-15.33%. Two corn reference materials and other natural samples were tested using TRFICA. The same samples analyzed by liquid chromatography tandem mass spectrometry further confirmed the TRFICA results. The entire detection time of TRFICA was within 30 min. Thus, this developed TRFICA can be used for onsite detection and quantitation of FB1 in grains.
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Affiliation(s)
- Lingling Guo
- State Key Laboratory of Food Science and Technology, Jiangnan University, China.
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4
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Zhang L, Sun Y, Liang X, Yang Y, Meng X, Zhang Q, Li P, Zhou Y. Cysteamine triggered “turn-on” fluorescence sensor for total detection of fumonisin B1, B2 and B3. Food Chem 2020; 327:127058. [DOI: 10.1016/j.foodchem.2020.127058] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Revised: 04/30/2020] [Accepted: 05/12/2020] [Indexed: 10/24/2022]
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5
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Single-chain variable fragment antibody-based immunochromatographic strip for rapid detection of fumonisin B1 in maize samples. Food Chem 2020; 319:126546. [DOI: 10.1016/j.foodchem.2020.126546] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Revised: 08/18/2019] [Accepted: 03/01/2020] [Indexed: 01/07/2023]
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6
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Yan T, Zhang Q, Wang D, Li P, Tang X, Zhang W. Determination of deoxynivalenol by ELISA and immunochromatographic strip assay based on monoclonal antibodies. TOXIN REV 2019. [DOI: 10.1080/15569543.2019.1605531] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Affiliation(s)
- Tingting Yan
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China
- Key Laboratory of Detection for Mycotoxins, Ministry of Agriculture, Wuhan, China
| | - Qi Zhang
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China
- Key Laboratory of Detection for Mycotoxins, Ministry of Agriculture, Wuhan, China
- Laboratory of Risk Assessment for Oilseeds Products (Wuhan), Ministry of Agriculture, Wuhan, China
- Quality Inspection and Test Center for Oilseeds Products, Ministry of Agriculture, Wuhan, China
| | - Du Wang
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China
- Key Laboratory of Detection for Mycotoxins, Ministry of Agriculture, Wuhan, China
| | - Peiwu Li
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China
- Key Laboratory of Detection for Mycotoxins, Ministry of Agriculture, Wuhan, China
- Laboratory of Risk Assessment for Oilseeds Products (Wuhan), Ministry of Agriculture, Wuhan, China
- Quality Inspection and Test Center for Oilseeds Products, Ministry of Agriculture, Wuhan, China
| | - Xiaoqian Tang
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China
- Key Laboratory of Detection for Mycotoxins, Ministry of Agriculture, Wuhan, China
| | - Wen Zhang
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China
- Laboratory of Risk Assessment for Oilseeds Products (Wuhan), Ministry of Agriculture, Wuhan, China
- Quality Inspection and Test Center for Oilseeds Products, Ministry of Agriculture, Wuhan, China
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Zhang X, Wang Z, Fang Y, Sun R, Cao T, Paudyal N, Fang W, Song H. Antibody Microarray Immunoassay for Simultaneous Quantification of Multiple Mycotoxins in Corn Samples. Toxins (Basel) 2018; 10:toxins10100415. [PMID: 30326616 PMCID: PMC6215206 DOI: 10.3390/toxins10100415] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Revised: 10/09/2018] [Accepted: 10/10/2018] [Indexed: 12/31/2022] Open
Abstract
We developed and tested a prototype of an antibody microarray immunoassay for simultaneous quantitative detection of four typical mycotoxins (aflatoxin B₁, ochratoxin A, zearalenone, and fumonisin B₁) in corn samples. The test kit consisted of a nitrocellulose membrane layered with immobilized monoclonal antibodies against mycotoxins. During the assay, the mycotoxin-protein conjugates were biotinylated. The signal detection was enhanced by a combination of the biotin-streptavidin system and enhanced chemiluminescence (ECL). This improved the sensitivity of the assay. Under the optimized conditions, four calibration curves with goodness of fit (R² > 0.98) were plotted. The results showed that the detection limits for aflatoxin B₁, ochratoxin A, zearalenone, and fumonisin B₁ were 0.21, 0.19, 0.09, and 0.24 ng/mL, with detection ranges of 0.47⁻55.69, 0.48⁻127.11, 0.22⁻31.36, and 0.56⁻92.57 ng/mL, respectively. The limit of detection (LOD) of this antibody microarray for aflatoxin B₁, ochratoxin A, zearalenone, and fumonisin B₁ in corn was 5.25, 4.75, 2.25, and 6 μg/kg, respectively. The recovery rates from the spiked samples were between 79.2% and 113.4%, with coefficient of variation <10%. The results of the analysis of commercial samples for mycotoxins using this new assay and the liquid chromatography-tandem mass spectrometry (LC-MS/MS) were comparable and in good agreement. This assay could also be modified for the simultaneous detection of other multiple mycotoxins, as well as low-weight analytes, hazardous to human health.
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Affiliation(s)
- Xian Zhang
- China-Australian Joint Laboratory for Animal Health Big Data Analytics, Zhejiang Provincial Engineering Laboratory for Animal Health Inspection and Internet Technology, College of Animal Science and Technology, Zhejiang A&F University, Lin'an 311300, Zhejiang, China.
- Zhejiang University Institute of Preventive Veterinary Medicine and Zhejiang Provincial Key Laboratory of Preventive Veterinary Medicine, 388 Yuhangtang Road, Hangzhou 310058, Zhejiang, China.
| | - Zuohuan Wang
- Zhejiang University Institute of Preventive Veterinary Medicine and Zhejiang Provincial Key Laboratory of Preventive Veterinary Medicine, 388 Yuhangtang Road, Hangzhou 310058, Zhejiang, China.
| | - Yun Fang
- Technic Center of Zhejiang Entry-Exit Inspection and Quarantine Bureau, 126 Fuchun Road, Hangzhou 310012, Zhejiang, China.
| | - Renjie Sun
- Zhejiang University Institute of Preventive Veterinary Medicine and Zhejiang Provincial Key Laboratory of Preventive Veterinary Medicine, 388 Yuhangtang Road, Hangzhou 310058, Zhejiang, China.
| | - Tong Cao
- Zhejiang University Institute of Preventive Veterinary Medicine and Zhejiang Provincial Key Laboratory of Preventive Veterinary Medicine, 388 Yuhangtang Road, Hangzhou 310058, Zhejiang, China.
| | - Narayan Paudyal
- Zhejiang University Institute of Preventive Veterinary Medicine and Zhejiang Provincial Key Laboratory of Preventive Veterinary Medicine, 388 Yuhangtang Road, Hangzhou 310058, Zhejiang, China.
| | - Weihuan Fang
- China-Australian Joint Laboratory for Animal Health Big Data Analytics, Zhejiang Provincial Engineering Laboratory for Animal Health Inspection and Internet Technology, College of Animal Science and Technology, Zhejiang A&F University, Lin'an 311300, Zhejiang, China.
- Zhejiang University Institute of Preventive Veterinary Medicine and Zhejiang Provincial Key Laboratory of Preventive Veterinary Medicine, 388 Yuhangtang Road, Hangzhou 310058, Zhejiang, China.
| | - Houhui Song
- China-Australian Joint Laboratory for Animal Health Big Data Analytics, Zhejiang Provincial Engineering Laboratory for Animal Health Inspection and Internet Technology, College of Animal Science and Technology, Zhejiang A&F University, Lin'an 311300, Zhejiang, China.
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Mycotoxin contamination of food and feed in China: Occurrence, detection techniques, toxicological effects and advances in mitigation technologies. Food Control 2018. [DOI: 10.1016/j.foodcont.2018.03.036] [Citation(s) in RCA: 56] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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Hao K, Suryoprabowo S, Hong T, Song S, Liu L, Zheng Q, Kuang H. Immunochromatographic strip for ultrasensitive detection of fumonisin B1. FOOD AGR IMMUNOL 2018. [DOI: 10.1080/09540105.2018.1439455] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022] Open
Affiliation(s)
- Kai Hao
- School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo, Shandong, People’s Republic of China
| | - Steven Suryoprabowo
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, People’s Republic of China
- International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, Wuxi, People’s Republic of China
| | - Tao Hong
- National Institute of Metrology, Beijing, People’s Republic of China
| | - Shanshan Song
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, People’s Republic of China
- International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, Wuxi, People’s Republic of China
| | - Liqiang Liu
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, People’s Republic of China
- International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, Wuxi, People’s Republic of China
| | - Qiankun Zheng
- Delishi Group, Weifang, Shandong, People’s Republic of China
| | - Hua Kuang
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, People’s Republic of China
- International Joint Research Laboratory for Biointerface and Biodetection, and School of Food Science and Technology, Jiangnan University, Wuxi, People’s Republic of China
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Ma Z, Yang X, Fang Y, Tong Z, Lin H, Fan H. Detection of Salmonella Infection in Chickens by an Indirect Enzyme-Linked Immunosorbent Assay Based on Presence of PagC Antibodies in Sera. Foodborne Pathog Dis 2017; 15:109-113. [PMID: 29190127 DOI: 10.1089/fpd.2017.2322] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
Abstract
The outcomes of infection of humans and animals with Salmonella range from a persistent asymptomatic carrier state to temporal mild gastroenteritis or severe systemic infection. A rapid and accurate diagnostic test would help formulate strategies for effective prevention of their infections in the animal population. Current sequencing data predict that the outer membrane protein, PagC, is present in all common Salmonella serovars with sequence similarities of more than 98%. PagC sequences in other bacterial species are less than 65% similarity at the amino acid level to those of Salmonella PagC. We hypothesized that PagC could be immunogenic and detection of antibodies to this protein could be an accurate indicator of Salmonella infection. The pagC gene from Salmonella enterica serovar Typhimurium CVCC542 was expressed in Escherichia coli. The purified recombinant PagC protein was immobilized in microtiter plate wells. Sera from SPF chickens infected with Salmonella or other non-Salmonella pathogens by injection were added and binding of PagC protein was detected by the horseradish peroxidase (HRP)-labeled goat anti-chicken antibody. Sera from Salmonella-infected chickens showed high specificity in contrast to the sera from chickens infected with other bacteria. When 87 Salmonella antibody-positive sera from Salmonella Pullorum orally infected SPF chicken and 93 negative sera from uninfected SPF chicken were tested, 98.3% agreement was detected. The rPagC enzyme-linked immunosorbent assay (ELISA) and agglutination had 80.6% agreement in detecting 252 clinical chicken sera samples. These results suggest that PagC antibody-based indirect ELISA can serve as a convenient and novel method for the diagnosis of Salmonella infection.
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Affiliation(s)
- Zhe Ma
- 1 College of Veterinary Medicine, Nanjing Agricultural University , Nanjing, China .,2 Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses , Yangzhou, China
| | - Xinyi Yang
- 1 College of Veterinary Medicine, Nanjing Agricultural University , Nanjing, China
| | - Yizhen Fang
- 1 College of Veterinary Medicine, Nanjing Agricultural University , Nanjing, China
| | - Zexin Tong
- 1 College of Veterinary Medicine, Nanjing Agricultural University , Nanjing, China
| | - Huixing Lin
- 1 College of Veterinary Medicine, Nanjing Agricultural University , Nanjing, China .,2 Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses , Yangzhou, China
| | - Hongjie Fan
- 1 College of Veterinary Medicine, Nanjing Agricultural University , Nanjing, China .,2 Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses , Yangzhou, China
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Tang X, Li P, Zhang Z, Zhang Q, Guo J, Zhang W. An ultrasensitive gray-imaging-based quantitative immunochromatographic detection method for fumonisin B1 in agricultural products. Food Control 2017; 80:333-340. [DOI: 10.1016/j.foodcont.2017.05.013] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Yao J, Sun Y, Li Q, Wang F, Teng M, Yang Y, Deng R, Hu X. Colloidal gold-McAb probe-based rapid immunoassay strip for simultaneous detection of fumonisins in maize. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2017; 97:2223-2229. [PMID: 27616272 DOI: 10.1002/jsfa.8032] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2016] [Revised: 09/05/2016] [Accepted: 09/07/2016] [Indexed: 06/06/2023]
Abstract
BACKGROUND Fumonisins are a kind of toxic and carcinogenic mycotoxin. A rapid immunochromatographic test strip has been developed for simultaneous detection of fumonisin B1 , B2 and B3 (FB1 , FB2 and FB3 ) in maize based on colloidal gold-labelled monoclonal antibody (McAb) against FB1 probe. RESULTS The anti-FB1 McAb (2E11-H3) was produced through immunisation and cell fusion, and identified as high affinity, specificity and sensitivity. The cross-reaction ratios with fumonisin B2 and B3 were accordingly 385% and 72.4%, while none with other analogues. The colloid gold-labelled anti-FB1 McAb probe was successfully prepared and used for establishing the immunochromatographic strip. The test strip showed high sensitivity and specificity, the IC50 for FB1 was 58.08 ng mL-1 , LOD was 11.24 ng mL-1 , calculated from standard curve. Moreover, the test strip exhibited high cross-reactivity with FB2 and FB3 , and could be applied to the simultaneous detection of FBs (FB1 :FB2 :FB3 = 12:4:1) in maize sample with high accuracy and precision. The average recoveries of FBs in maize ranged from 90.42% to 95.29%, and CVs were 1.25-3.77%. The results of the test strip for FBs samples showed good correlation with high-performance liquid chromatography analysis. CONCLUSION The immunochromatographic test strip could be employed in the rapid simultaneous detection of FB1 , FB2 and FB3 in maize samples on-site. © 2016 Society of Chemical Industry.
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Affiliation(s)
- Jingjing Yao
- Henan Academy of Agriculture Science/Key Laboratory of Animal Immunology, Ministry of Agriculture/Henan key Laboratory of Animal Immunology, Zhengzhou, 450002, China
| | - Yaning Sun
- Henan Academy of Agriculture Science/Key Laboratory of Animal Immunology, Ministry of Agriculture/Henan key Laboratory of Animal Immunology, Zhengzhou, 450002, China
| | - Qingmei Li
- Henan Academy of Agriculture Science/Key Laboratory of Animal Immunology, Ministry of Agriculture/Henan key Laboratory of Animal Immunology, Zhengzhou, 450002, China
| | - Fangyu Wang
- Henan Academy of Agriculture Science/Key Laboratory of Animal Immunology, Ministry of Agriculture/Henan key Laboratory of Animal Immunology, Zhengzhou, 450002, China
| | - Man Teng
- Henan Academy of Agriculture Science/Key Laboratory of Animal Immunology, Ministry of Agriculture/Henan key Laboratory of Animal Immunology, Zhengzhou, 450002, China
| | - Yanyan Yang
- Henan Academy of Agriculture Science/Key Laboratory of Animal Immunology, Ministry of Agriculture/Henan key Laboratory of Animal Immunology, Zhengzhou, 450002, China
| | - Ruiguang Deng
- Henan Academy of Agriculture Science/Key Laboratory of Animal Immunology, Ministry of Agriculture/Henan key Laboratory of Animal Immunology, Zhengzhou, 450002, China
| | - Xiaofei Hu
- Henan Academy of Agriculture Science/Key Laboratory of Animal Immunology, Ministry of Agriculture/Henan key Laboratory of Animal Immunology, Zhengzhou, 450002, China
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Development of a nanoarray capable of the rapid and simultaneous detection of zearalenone, T2-toxin and fumonisin. Talanta 2017; 164:368-376. [DOI: 10.1016/j.talanta.2016.11.032] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2016] [Revised: 11/13/2016] [Accepted: 11/16/2016] [Indexed: 02/03/2023]
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Wang XC, Fan HX, Fan MX, Li FH, Feng SB, Li JC, Wu JJ, Li Y, Wang JS. A sensitive immunochromatographic assay using colloidal gold–antibody probe for rapid detection of fumonisin B1 in corn. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2016; 33:1435-43. [DOI: 10.1080/19440049.2016.1213429] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
- Xi-Chun Wang
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, China
- Department of Environmental Health Science, The University of Georgia, Athens, GA, USA
| | - Hai-Xin Fan
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, China
| | - Meng-Xue Fan
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, China
| | - Fu-Hui Li
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, China
| | - Shi-Bin Feng
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, China
| | - Jin-Chun Li
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, China
| | - Jin-Jie Wu
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, China
| | - Yu Li
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, China
| | - Jia-Sheng Wang
- Department of Environmental Health Science, The University of Georgia, Athens, GA, USA
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