Abstract
Near-infrared spectroscopy coupled with kernel partial least squares-discriminant analysis was used to rapidly screen water containing malathion. In the wavenumber of 4348 cm-1 to 9091 cm-1, the overall correct classification rate of kernel partial least squares-discriminant analysis was 100% for training set, and 100% for test set, with the lowest concentration detected malathion residues in water being 1 μg·ml-1. Kernel partial least squares-discriminant analysis was able to have a good performance in classifying data in nonlinear systems. It was inferred that Near-infrared spectroscopy coupled with the kernel partial least squares-discriminant analysis had a potential in rapid screening other pesticide residues in water.
Highlights
IntroductionS-(1,2-dicarbethoxyethyl)-O,O-dimethyldthiophosphate (its structural formula is shown in Figure 1) is one of the most commonly used organophosphate insecticides
Malathion, S-(1,2-dicarbethoxyethyl)-O,O-dimethyldthiophosphate is one of the most commonly used organophosphate insecticides
Near-infrared spectroscopy coupled with kernel partial least squares-discriminant analysis was used to rapidly screen water containing malathion
Summary
S-(1,2-dicarbethoxyethyl)-O,O-dimethyldthiophosphate (its structural formula is shown in Figure 1) is one of the most commonly used organophosphate insecticides. It is extensively applied for controlling motile stages of mites and some other insects on fruits and vegetables. The reported methods to determine the malathion are high-performance liquid chromatography [2], atomic-absorption [3], carbon nanotube modified gold electrode [4], capillary electrophoresis [5], ion mobility spectrometry [6], dual fluorescence and electrochemical detection [7], CO2 laser [8]. These methods require expensive instrumentation or complicated pretreatment procedure, which limit their application for real-time detection of malathion. It is appropriate to seek fast, reliable and economically analytical methods of malathion by simple and relatively inexpensive instrumentation
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