Recent Advancement of Biosensor Technology for the Detection of Microcystin-LR

Microcystins are a class of toxins that are mainly produced by cyanobacteria and among them, microcystin-leucine arginine (microcystin-LR) is one of the most toxic and harmful of the fresh water toxins causing many accidents and threats to human health. The detection of microcystin-LR in drinking wa...

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Bibliographic Details
Published inBulletin of the Chemical Society of Japan Vol. 93; no. 5; pp. 637 - 646
Main Authors Pang, Pengfei, Lai, Yanqiong, Zhang, Yanli, Wang, Hongbin, Conlan, Xavier A, Barrow, Colin J, Yang, Wenrong
Format Journal Article
LanguageEnglish
Published Tokyo The Chemical Society of Japan 15.05.2020
Chemical Society of Japan
Subjects
Accidents
Biosensors
Cyanobacteria
Drinking water
Fresh water
High performance liquid chromatography
Leucine
Life Chemistry
Raman spectroscopy
Selectivity
Toxins
Water sampling
Biosensors
Microcystin-LR
Cyanobacteria
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Summary:Microcystins are a class of toxins that are mainly produced by cyanobacteria and among them, microcystin-leucine arginine (microcystin-LR) is one of the most toxic and harmful of the fresh water toxins causing many accidents and threats to human health. The detection of microcystin-LR in drinking water and environmental water samples is therefore crucial. To date, methods such as high performance liquid chromatography, protein phosphatase inhibition assay, enzyme-linked immunosorbent assay, and Raman spectroscopy have been employed to monitor microcystin-LR levels. Although these techniques are precise and sensitive, they require expensive instrumentation, well-trained personnel and involve time-consuming processes meaning that their application is generally limited to well-resourced and centralized laboratory facilities. Among the emerging microcystin-LR detection methods, biosensors have received great attention because of their remarkable sensitivity, selectivity, and simplicity. In this review, we will discuss the current state-of-the-art microcystin-LR biosensing platforms, and evaluate the advantages and limitations of typical transduction technologies to identify the most efficient detection system for the potentially harmful cyanobacteria.
ISSN:0009-2673
1348-0634
DOI:10.1246/bcsj.20190365