Highly sensitive detection and discrimination of LR and YR microcystins based on protein phosphatases and an artificial neural network

被引：16

作者：

Covaci, O. I. ^{[1
,2
]}

Sassolas, A. ^{[1
]}

Alonso, G. A. ^{[1
,3
]}

Munoz, R. ^{[3
]}

Radu, G. L. ^{[2
]}

Bucur, B. ^{[4
]}

Marty, J. -L. ^{[1
]}

机构：

[1] Univ Perpignan, Lab IMAGES EA 4218, F-66860 Perpignan, France

[2] Univ Politehn Bucuresti, Appl Chem & Mat Sci Fac, Bucharest 011061, Romania

[3] Intituto Politecn Nacl, Ctr Invest & Estudios Avanzados, Mexico City 07360, DF, Mexico

[4] Natl Inst Res & Dev Biol Sci, Bioanal Ctr, Bucharest 060031, Romania

来源：

ANALYTICAL AND BIOANALYTICAL CHEMISTRY | 2012年 / 404卷 / 03期

关键词：

Protein phosphatase; Microcystin; Artificial neural network; Influence of organic solvents; INHIBITION; WATER; INSECTICIDES; EXTRACTION; BIOSENSOR; BLOOMS; ASSAY;

D O I：

10.1007/s00216-012-6092-6

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

The inhibition characteristics of three different protein phosphatases by three microcystin (MC) variants-LR, YR, and RR-were studied. The corresponding K (I) 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.

引用

页码：711 / 720

页数：10

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