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An fluorescence resonance energy transfer sensing platform based on signal amplification strategy of hybridization chain reaction and triplex DNA for the detection of Chloramphenicol in milk  ( SCI-EXPANDED收录 EI收录)   被引量:25

文献类型:期刊文献

英文题名:An fluorescence resonance energy transfer sensing platform based on signal amplification strategy of hybridization chain reaction and triplex DNA for the detection of Chloramphenicol in milk

作者:Li, Yubin[1];Wang, Lei[2];Zhao, Liting[1];Li, Min[1];Wen, Yanmei[1]

机构:[1]Guangdong Ocean Univ, Fac Chem & Environm Sci, Zhanjiang 524088, Peoples R China;[2]Guangdong Med Univ, Zhanjiang Cent Hosp, Zhanjiang 524045, Peoples R China

年份:2021

卷号:357

外文期刊名:FOOD CHEMISTRY

收录:SCI-EXPANDED(收录号:WOS:000655535600008)、、EI(收录号:20211610236535)、Scopus(收录号:2-s2.0-85104282085)、WOS

基金:This work is supported by the foundation and applied foundation research JointYouth Fund project of Guangdong province, China (2019A1515110648) , the project of Enhancing School with Innovation of Guangdong Ocean University (2020KZDZX1108) and project of Enhancing School with Innovation of Guangdong Ocean University (230419054) .

语种:英文

外文关键词:Hybridization chain reaction; Triplex DNA; Fluorescence resonance energy transfer; Chloramphenicol; Aptamer

外文摘要:The use of chloramphenicol (CAP) in food had been strictly regulated or banned in many countries. Herein, an enzyme-free fluorescence resonance energy transfer (FRET) strategy was established for sensitive, rapid and specific detection of CAP in milk, which was based on triplex DNA and hybridization chain reaction amplification. CAP can specifically bind to the aptamer and release the trigger sequence, causing HCR to efficiently prime and forming triplex DNA, hence the FRET pairs (FAM and TAMRA) were close enough to cause fluorescent decreases. Consequently, CAP can be quantitatively detected by measuring the fluorescence reduction at 520 nm, and the reliability of the method was confirmed by enzyme-linked immunosorbent assay. The limit of CAP detection for 1.2 pg.mL- 1, and the average recoveries of milk samples were 97.5%-106%, and the relative standard deviation were 3.9%-5.3%. Thus, this method has a wide range of potential applications in CAP detection.

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