title: Phytoremediation potential of duckweed (Lemna minor L.) in degradation of C.I. Acid Blue 92: artificial neural network modeling.
abstract: 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).
authors.affiliation: Department of Applied Chemistry, Faculty of Chemistry, University of Tabriz, Tabriz 5166616471, Iran. a_khataee@tabrizu.ac.ir
authors.forename: A R
authors.initials: AR
authors.lastname: Khataee
authors.forename: A
authors.initials: A
authors.lastname: Movafeghi
authors.forename: S
authors.initials: S
authors.lastname: Torbati
authors.forename: S Y
authors.initials: SY
authors.lastname: Salehi Lisar
authors.forename: M
authors.initials: M
authors.lastname: Zarei
mesh_terms: D029064:Araceae / Q000254:growth & development / Q000378:metabolism*; D001673:Biodegradation, Environmental; D003198:Computer Simulation; D009281:Naphthalenes / Q000032:analysis / Q000378:metabolism*; D016571:Neural Networks, Computer; D013696:Temperature; D013783:Textile Industry; D014874:Water Pollutants, Chemical / Q000032:analysis / Q000378:metabolism*
chemical_list: C555957:Acid Blue 92; D009281:Naphthalenes; D014874:Water Pollutants, Chemical