Pesticide Residue Measurements in Raw Milk Based on Optical Spectrum and Neural Networks

Raheem, Walaa; Niamah, Alaa; Muttaleb, Hussein O.; Murdas, Ibrahim A.

doi:10.21608/ejchem.2021.84298.4125

Pesticide Residue Measurements in Raw Milk Based on Optical Spectrum and Neural Networks

Document Type : Original Article

Authors

¹ Department of Genetic Engineering, college of Biotechnology, Al- Qasim Green University Iraq

² Department of Food Science, College of Agriculture, University of Basrah, Iraq

³ Deartment of Biology, College of science, University of Babylon, Iraq

⁴ Department of Electrical, College of Engineering, University of Babylon, Iraq

10.21608/ejchem.2021.84298.4125

Abstract

Pesticide residue has become as one of the major food adulterants as a result , rapid, simple, spectrophotometric method for pesticide residue measurement (bifenthrin, glyphosate) in milk sample based on UV-Vis spectrophotometer and Artificial neural network had been developed .The developed system detecting the milk contaminants like pesticide residue and classified it based on absorption spectrum. The hybrid system consists of UV-Vis spectrophotometer and neural package. The detection and classification processes depend on the readout of the UV-Vis spectroscopy to achieve the detection and recognition of all the samples by using Levenberg-Marquardt back propagation (LM-BP) neural network algorithm. The reported classification rate accuracy reached above 99.98%.

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