Phytoremediation potential of duckweed (Lemna minor L.) in degradation of CI Acid Blue 92: Artificial neural network modeling

被引:119
作者
Khataee, A. R. [1 ]
Movafeghi, A. [2 ]
Torbati, S. [1 ,2 ]
Lisar, S. Y. Salehi [2 ]
Zarei, M. [1 ]
机构
[1] Univ Tabriz, Dept Appl Chem, Fac Chem, Tabriz 5166616471, Iran
[2] Univ Tabriz, Dept Plant Biol, Fac Nat Sci, Tabriz 5166616471, Iran
关键词
Phytoremediation; Lemna minor L; Biodegradation; Textile dye; Artificial neural network; MALACHITE-GREEN; DYE SOLUTION; GROWTH-INHIBITION; AQUEOUS-SOLUTION; WASTE-WATER; AZO DYES; ACCUMULATION; REMOVAL; PLANTS; TOXICITY;
D O I
10.1016/j.ecoenv.2012.03.021
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In present study, the potential of duckweed (Lemna minor L.) for degradation of an azo dye C.I. Acid Blue 92 (AB92) has been investigated. The effect of operational parameters such as initial dye concentration, pH, temperature and amount of plant on the efficiency of biological decolorization process was determined. The reusability of Lemna minor L in long term repetitive operations was also examined. Growth and some biochemical parameters (photosynthetic pigments content, superoxide dismutase, catalase and peroxidase activity) were used to detect the toxic effects of AB92 on duckweed plant. The biological degradation compounds formed in the present process were analyzed by GC-MS technique. In addition, an artificial neural network (ANN) model was expanded to predict the biological decolorization efficiency. The obtained data indicated that ANN provide realistic predictive performance (R-2=0.954). (C) 2012 Elsevier Inc.. All rights reserved.
引用
收藏
页码:291 / 298
页数:8
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