Basic research for identification and classification of organophosphorus pesticides in water based on ultraviolet–visible spectroscopy information

In this study, the goal was to develop a method for detecting and classifying organophosphorus pesticides (OPPs) in bodies of water. Sixty-five samples with different concentrations were prepared for each of the organophosphorus pesticides, namely chlorpyrifos, acephate, parathion-methyl, trichlorph...

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Veröffentlicht in:	Environmental science and pollution research international 2024-07, Vol.31 (33), p.45761-45775
Hauptverfasser:	Shao, Chengji, Ma, Ruijun, Yan, Zhenfeng, Li, Chenghui, Hong, Yuanqian, Li, Yanfen, Chen, Yu
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Aquatic Pollution Artificial neural networks Atmospheric Protection/Air Quality Control/Air Pollution Back propagation networks Chlorpyrifos Classification Clustering Data smoothing Dichlorvos Dimethoate Earth and Environmental Science Ecotoxicology Embedding Environment Environmental Chemistry Environmental Health Environmental Monitoring - methods Feature extraction Fenthion Insecticides Learning algorithms Machine Learning Malathion Manifolds (mathematics) Neural networks Neural Networks, Computer Organophosphorus Compounds Organophosphorus pesticides Parathion Pesticides Pesticides - analysis Phoxim Research Article Spectroscopic analysis Spectroscopy Spectrum analysis Support Vector Machine Support vector machines Waste Water Technology Water - chemistry Water Management Water Pollutants, Chemical - analysis Water Pollution Control Wavelength
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