QSRR models of veterinary drugs in milk in ultra-performance liquid chromatography coupled to time of flight mass spectrometry
Publish place: Iranian Chemical Communication، Vol: 2، Issue: 4
Publish Year: 1393
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_ICC-2-4_006
تاریخ نمایه سازی: 18 تیر 1394
Abstract:
The veterinary drugs residues are also important pollutants found in milk since veterinary drugs are commonly used in cattle management. Considering the role of milk in human nutrition andits wide consumption throughout the world, it is very important to ensure the milk quality. A quantitative structure–retention relationship (QSRR) was developed using the partial least square(PLS), Kernel PLS (KPLS) and Levenberg-Marquardt artificial neural network (L-M ANN) approach for chemometrics study. Genetic algorithm was employed as a factor selection procedure for PLS and KPLS modeling methods. By comparing the results, GA-KPLS descriptors are selected for L-M ANN. Finally, a model with a low prediction error and a good correlation coefficientwas obtained by L-M ANN. This is the first research on the QSRR of veterinary drugs using the chemometrics models.
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Authors
Sharmin Esmaeilpoor
Department of Chemistry, Payame Noor University, P.O. BOX ۱۹۳۹۵-۴۶۹۷, Tehran, Iran
Shahnaz Nosratolahy
Education of Ilam, Fazilat Girls High School
Hadi Noorizadeh
Department of Chemistry, Payame Noor University, P.O. BOX ۱۹۳۹۵-۴۶۹۷, Tehran, Iran
Zohreh Moghadam
Department of Chemistry, Payame Noor University, P.O. BOX ۱۹۳۹۵-۴۶۹۷, Tehran, Iran