Interactive effects of PAHs and heavy metal mixtures on oxidative stress in Chlorella sp. MM3 as determined by artificial neural network and genetic algorithm

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• 作者：Suresh R. Subashchandrabose^a ; ^b ; Liang Wang^a ; ^b ; Kadiyala Venkateswarlu^c ; Ravi Naidu^a ; ^b ; Mallavarapu Megharaj^a ; ^b ; ^{megh.mallavarapu@newcastle.edu.au}
• 关键词：Chlorella sp. MM3 ; PAHs and heavy metals ; Mixture toxicity ; Factorial design experiment ; Artificial neural network ; Genetic algorithm
• 刊名：Algal Research
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：21
• 期：Complete
• 页码：203-212
• 全文大小：1061 K
• 卷排序：21

文摘

Biochemicals-based toxicity was assessed using PAHs and heavy metal mixtures. Toxicity was analyzed by combining factorial design, ANN and GA. Catalase & lipid peroxidation were the promising biomarkers for microalgal toxicity. Chlorella sp. MM3 can be an ideal test organism for mixture toxicity assessment.