Ultrasensitive detection of T-2 toxin in food based on bio-barcode and rolling circle amplification.
Ultrasensitive detection of T-2 toxin in food based on bio-barcode and rolling circle amplification.
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基于生物条形码和滚环扩增的食品中T-2毒素超灵敏检测
DOI：
10.1016/j.aca.2018.09.007
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发表时间：
2018-12
影响因子：
6.2
通讯作者：
Gao Zhixian
中科院分区：
文献类型：
--
作者：
Zhang Man;Huo Bingyang;Yuan Shuai;Ning Baoan;Bai Jialei;Peng Yuan;Liu Baolin;Gao Zhixian
建立了一种基于生物条形码滚环扩增（RCA）的高灵敏度T-2毒素检测方法。用抗T-2单克隆抗体、单链硫醇寡核苷酸（sh - ssdna）和包裹T-2抗原的磁微粒（MMPs）修饰金纳米粒子（AuNPs）。T-2毒素与MMPs上的抗原竞争AuNPs上的抗T-2抗体。然后用磁场分离分离复合物体系，探针DNA在二硫苏糖醇溶液中洗涤后释放。通过RCA和产物对条形码DNA进行SYBR Green I染色，然后用荧光分光光度法检测。对燕麦、小米、面粉等物质进行了优化。该方法的检测下限为0.26 pg mL−1，线性范围为0.002 ~ 200 ng mL−1。该方法具有良好的回收率，相对标准偏差范围分别为88.65% ~ 10.04%和0.6% ~ 13.1%。总之，该方法显示出作为一种超灵敏的测定方法用于检测复杂基质中的各种小分子的潜力。
A novel and highly sensitive method based on bio-barcode with rolling circle amplification (RCA) was developed for the detection of T-2 toxin. Gold nanoparticles (AuNPs) were modified with anti-T-2 monoclonal antibody and single-stranded thiol-oligonucleotides (SH-ssDNAs) and magnetic microparticles (MMPs) coated with T-2 antigen. The T-2 toxin competes with the antigen on MMPs for the anti-T-2 antibody on AuNPs. Then, the isolating complex system was separated by a magnetic field, and the DNA of the probes was released after washing in dithiothreitol solution. The barcode DNA via RCA and products were stained by SYBR Green I and then detected by fluorescence spectrophotometry. The optimized method was performed on oats, millet, flour, and other substances. This method exhibits a low limit of detection (0.26 pg mL−1) and linear range of 0.002–200 ng mL−1. Moreover, the approach offers good recovery and relative standard deviations ranging from 88.65% to 10.04% and 0.6%–13.1%, respectively. In conclusion, this method exhibits potential for use as an ultrasensitive assay for the detection of a variety of small molecules in complex matrices.
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影响因子：
4.4
作者：
Faruqi AF;Hosono S;Driscoll MD;Dean FB;Alsmadi O;Bandaru R;Kumar G;Grimwade B;Zong Q;Sun Z;Du Y;Kingsmore S;Knott T;Lasken RS
通讯作者：
Lasken RS
DOI：
10.1039/c4an00368c
发表时间：
2014-07
期刊：
The Analyst
影响因子：
--
作者：
J. Peters;A. Cardall;W. Haasnoot;M. Nielen
通讯作者：
J. Peters;A. Cardall;W. Haasnoot;M. Nielen
影响因子：
5.6
作者：
Doi K;Ishigami N;Sehata S
通讯作者：
Sehata S
影响因子：
4.6
作者：
Abe N;Matsumoto K;Nishihara M;Nakano Y;Shibata A;Maruyama H;Shuto S;Matsuda A;Yoshida M;Ito Y;Abe H
通讯作者：
Abe H
影响因子：
4.3
作者：
Jia Li;C. Young;Paul M. Lizardia;D. Stern
通讯作者：
Jia Li;C. Young;Paul M. Lizardia;D. Stern