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藻毒素监测的适体传感策略新进展:食品安全应用前景广阔。

Recent Advances in Aptasensing Strategies for Monitoring Phycotoxins: Promising for Food Safety.

机构信息

Targeted Drug Delivery Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad 9177948564, Iran.

Pharmaceutical Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad 9177948564, Iran.

出版信息

Biosensors (Basel). 2022 Dec 29;13(1):56. doi: 10.3390/bios13010056.

DOI:10.3390/bios13010056
PMID:36671891
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9856083/
Abstract

Phycotoxins or marine toxins cause massive harm to humans, livestock, and pets. Current strategies based on ordinary methods are long time-wise and require expert operators, and are not reliable for on-site and real-time use. Therefore, it is urgent to exploit new detection methods for marine toxins with high sensitivity and specificity, low detection limits, convenience, and high efficiency. Conversely, biosensors can distinguish poisons with less response time and higher selectivity than the common strategies. Aptamer-based biosensors (aptasensors) are potent for environmental monitoring, especially for on-site and real-time determination of marine toxins and freshwater microorganisms, and with a degree of superiority over other biosensors, making them worth considering. This article reviews the designed aptasensors based on the different strategies for detecting the various phycotoxins.

摘要

藻毒素或海洋毒素会对人类、牲畜和宠物造成严重伤害。目前基于普通方法的策略耗时较长,需要专业操作人员,并且不可靠用于现场和实时使用。因此,迫切需要开发具有高灵敏度和特异性、低检测限、方便和高效率的新型海洋毒素检测方法。相反,生物传感器比普通策略具有更少的响应时间和更高的选择性,可以区分毒物。基于适配体的生物传感器(aptasensors)在环境监测方面非常有效,特别是用于现场和实时测定海洋毒素和淡水微生物,并且比其他生物传感器具有一定的优势,因此值得考虑。本文综述了基于不同策略设计的用于检测各种藻毒素的适配体生物传感器。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7b5/9856083/9177cd68f2b9/biosensors-13-00056-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7b5/9856083/e8ca1b681325/biosensors-13-00056-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7b5/9856083/00425dc09847/biosensors-13-00056-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7b5/9856083/779a0d2dfedd/biosensors-13-00056-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7b5/9856083/9177cd68f2b9/biosensors-13-00056-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7b5/9856083/e8ca1b681325/biosensors-13-00056-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7b5/9856083/00425dc09847/biosensors-13-00056-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7b5/9856083/779a0d2dfedd/biosensors-13-00056-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7b5/9856083/9177cd68f2b9/biosensors-13-00056-g004.jpg

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Comput Struct Biotechnol J. 2022 Apr 28;20:2134-2142. doi: 10.1016/j.csbj.2022.04.033. eCollection 2022.
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