Chemiluminescent multiassay of pesticides with horseradish peroxidase as a label.
Competitive chemiluminescent immunoassay based on a combination of five antibodies was used in a combination with neural network to identify and estimate amounts of three cross-reacting s-triazines (atrazine, terbythylazine and ametryn). Antibodies with different cross-reactivity towards s-triazines were immobilized in separate wells an eight-well microtiter strip. Training of neural networks was carried out with four different learning procedures. The best topology for the data measured was a net with two hidden layers with ten neurons in the first and 15 in the second layer trained with the Schmidhuber method. s-Triazine classification of environmental samples containing various analyte mixtures was correct in 70-100% of all cases depending on the type of analyte. The test developed can be proposed as an alternative field test for multianalyte environmental monitoring.
Samsonova
J V
JV
Department of Chemical Enzymology, Chemistry Faculty, M.V. Lomonosov Moscow State University, Russia. jus@enz.chem.msu.su
Rubtsova MYu
Kiseleva
A V
AV
Ezhov
A A
AA
Egorov
A M
AM
D001280:Atrazine / Q000032:analysis; D003124:Colorimetry; D003429:Cross Reactions; D004797:Enzyme-Linked Immunosorbent Assay; D006540:Herbicides / Q000032:analysis; D006735:Horseradish Peroxidase; D008163:Luminescent Measurements; D010575:Pesticides / Q000032:analysis*; D012680:Sensitivity and Specificity; D014227:Triazines / Q000032:analysis
D006540:Herbicides; D010575:Pesticides; D014227:Triazines; C100057:ametryne; D006735:Horseradish Peroxidase; C037565:terbutylazine; D001280:Atrazine