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Quantitative Structure-Retention Relationships Applied To Chromatographic Retention of Ecotoxicity of Anilines and Phenols
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نویسنده
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Shahpar Mehrdad ,Esmaeilpoor Sharmin
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منبع
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Asian Journal Of Green Chemistry - 2018 - دوره : 2 - شماره : 2 - صفحه:144 -159
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چکیده
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Aniline, phenol, and their derivatives are widely used in industrial chemicals that consequently have a high potential for environmental pollution. genetic algorithm and partial least square (ga-pls), kernel partial least square (ga-kpls) and levenberg-marquardt artificial neural network (l-m ann) techniques were used to investigate the correlation between chromatographic retention (log k) and descriptors for modelling the toxicity to fathead minnows of anilines and phenols. descriptors of ga-pls model were selected as inputs in l-m ann model. the described model does not require experimental parameters and potentially provides useful prediction for log k of new compounds. finally a model with a low prediction error and a good correlation coefficient was obtained by l-m ann. the stability and prediction ability of l-m ann model was validated using external test set techniques.
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کلیدواژه
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Ecotoxicity ,Environmental Hazard ,Phenols ,Anilines ,Quantitative Stature Retention Relationship
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آدرس
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Director Of Ilam Petrochemical Company, ایران, Payame Noor University, Department Of Chemistry, ایران
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پست الکترونیکی
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sharminesmaeilpoor@yahoo.com
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Authors
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