Pesticide Residue Measurements in Raw Milk Based on Optical Spectrum and Neural Networks
Raheem, W., Niamah, A., Muttaleb, H., Murdas, I. (2022). Pesticide Residue Measurements in Raw Milk Based on Optical Spectrum and Neural Networks. EKB Journal Management System, 65(2), 203-208. doi: 10.21608/ejchem.2021.84298.4125
Walaa Raheem; Alaa Niamah; Hussein O. Muttaleb; Ibrahim A. Murdas. "Pesticide Residue Measurements in Raw Milk Based on Optical Spectrum and Neural Networks". EKB Journal Management System, 65, 2, 2022, 203-208. doi: 10.21608/ejchem.2021.84298.4125
Raheem, W., Niamah, A., Muttaleb, H., Murdas, I. (2022). 'Pesticide Residue Measurements in Raw Milk Based on Optical Spectrum and Neural Networks', EKB Journal Management System, 65(2), pp. 203-208. doi: 10.21608/ejchem.2021.84298.4125
Raheem, W., Niamah, A., Muttaleb, H., Murdas, I. Pesticide Residue Measurements in Raw Milk Based on Optical Spectrum and Neural Networks. EKB Journal Management System, 2022; 65(2): 203-208. doi: 10.21608/ejchem.2021.84298.4125

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

Egyptian Journal of Chemistry
Article 23, Volume 65, Issue 2, February 2022, Page 203-208  XML PDF (490.93 K)
Document Type: Original Article
DOI: 10.21608/ejchem.2021.84298.4125
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Authors
Walaa Raheem email 1; Alaa Niamah2; Hussein O. Muttaleb3; Ibrahim A. Murdas4
1Department of Genetic Engineering, college of Biotechnology, Al- Qasim Green University Iraq
2Department of Food Science, College of Agriculture, University of Basrah, Iraq
3Deartment of Biology, College of science, University of Babylon, Iraq
4Department of Electrical, College of Engineering, University of Babylon, Iraq
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%.
Keywords
pesticide; milk; artificial neural network; optical spectrum
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