Department of Applied Chemistry, Faculty of Chemistry, University of Tabriz, Tabriz, Iran.
Environ Technol. 2009 Dec 14;30(14):1615-23. doi: 10.1080/09593330903370018.
In this paper biosorption of triphenylmethane dye, C.I. Basic Green 4 (BG4), by Chlamydomonas species was investigated. The results obtained from batch experiments revealed the ability of Chlamydomonas sp. to remove BG4. The effects of operational parameters such as initial dye concentration, temperature, pH, reaction time and algal concentration on biosorptive decolorization efficiency were examined. An artificial neural network model was developed to predict the biosorptive decolorization of BG4 solution. The findings indicated that ANN provided reasonable predictive performance (R2 = 0.979). The influence of each parameter on the response was assessed, initial concentration of the dye being the most significant factor, followed by temperature.
本文研究了小球藻属（Chlamydomonas species）对三苯甲烷染料 C.I. 碱性绿 4（BG4）的生物吸附作用。批量实验结果表明，小球藻属具有去除 BG4 的能力。考察了初始染料浓度、温度、pH 值、反应时间和藻浓度等操作参数对生物吸附脱色效率的影响。建立了人工神经网络模型来预测 BG4 溶液的生物吸附脱色情况。研究结果表明，ANN 提供了合理的预测性能（R2 = 0.979）。评估了每个参数对响应的影响，其中染料的初始浓度是最重要的因素，其次是温度。
