Yazdani Maryam, Bahrami Hajir, Arami Mokhtar
Textile Engineering Department, Amirkabir University of Technology, Tehran, Iran ; Department of Civil and Environmental Engineering, School of Science and Technology, Aalto University, P.O. Box 15200, 00076 Aalto, Finland.
Textile Engineering Department, Amirkabir University of Technology, Tehran, Iran.
ScientificWorldJournal. 2014 Jan 23;2014:370260. doi: 10.1155/2014/370260. eCollection 2014.
Chitosan/feldspar biobased beads were synthesized, characterized, and tested for the removal of Acid Black 1 dye from aquatic phases. A four-factor central composite design (CCD) accompanied by response surface modeling (RSM) and optimization was used to optimize the dye adsorption by the adsorbent (chitosan/feldspar composite) in 31 different batch experiments. Independent variables of temperature, pH, initial dye concentration, and adsorbent dose were used to change to coded values. To anticipate the responses, a quadratic model was applied. Analysis of variance (ANOVA) tested the significance of the process factors and their interactions. The adequacy of the model was investigated by the correlation between experimental and predicted data of the adsorption and the calculation of prediction errors. The results showed that the predicted maximum adsorption amount of 21.63 mg/g under the optimum conditions (pH 3, temperature 15°C, initial dye concentration 125 mg/L, and dose 0.2 g/50 mL) was close to the experimental value of 19.85 mg/g. In addition, the results of adsorption behaviors of the dye illustrated that the adsorption process followed the Langmuir isotherm model and the pseudo-second-order kinetic model. Langmuir sorption capacity was found to be 17.86 mg/g. Besides, thermodynamic parameters were evaluated and revealed that the adsorption process was exothermic and favourable.
合成了壳聚糖/长石生物基珠粒，对其进行了表征，并测试了其从水相中去除酸性黑1染料的性能。采用四因素中心复合设计（CCD），并结合响应面建模（RSM）和优化方法，在31个不同的批次实验中对吸附剂（壳聚糖/长石复合材料）对染料的吸附进行了优化。将温度、pH值、初始染料浓度和吸附剂剂量等自变量转换为编码值。为了预测响应，应用了二次模型。方差分析（ANOVA）测试了工艺因素及其相互作用的显著性。通过吸附实验数据与预测数据之间的相关性以及预测误差的计算，研究了模型的适用性。结果表明，在最佳条件（pH值3、温度15°C、初始染料浓度125 mg/L和剂量0.2 g/50 mL）下，预测的最大吸附量为21.63 mg/g，接近实验值19.85 mg/g。此外，染料吸附行为的结果表明，吸附过程遵循朗缪尔等温线模型和准二级动力学模型。发现朗缪尔吸附容量为17.86 mg/g。此外，对热力学参数进行了评估，结果表明吸附过程是放热的且有利的。
