학술논문
Highly sensitive detection and discrimination of LR and YR microcystins based on protein phosphatases and an artificial neural network.
Document Type
Article
Author
Source
Subject
*PHOSPHOPROTEIN phosphatases
*MICROCYSTINS
*BIOLOGICAL neural networks
*ENZYMES
*PROTEINS
*
*
*
*
Language
ISSN
1618-2642
Abstract
The inhibition characteristics of three different protein phosphatases by three microcystin (MC) variants-LR, YR, and RR-were studied. The corresponding K for each enzyme-MC couple was calculated. The toxicity of MC varies in the following order: MC-LR > MC-YR > MC-RR. The sensitivity of the enzymes increased in the following order: mutant PP2A < mutant PP1 < natural PP2A. The best limit of detection obtained was 21.2 pM MC-LR using the most sensible enzyme. Methanol, ethanol, and acetonitrile up to 2 % ( v/ v) may be used in inhibition measurements. An artificial neural network (ANN) was used to discriminate two MC variants-LR and YR-using the differences in inhibition percentages measured with mutant PP1 and natural PP2A. The ANN is able to analyze mixtures with concentrations ranging from 8 to 98 pM MC-LR and 31 to 373 pM MC-YR. [ABSTRACT FROM AUTHOR]