Movafeghi A, Khataee A R, Moradi Z, Vafaei F
a Department of Plant Biology , Faculty of Natural Sciences, University of Tabriz , Tabriz , Iran.
b Research Laboratory of Advanced Water and Wastewater Treatment Processes , Department of Applied Chemistry, Faculty of Chemistry, University of Tabriz , Tabriz , Iran.
Int J Phytoremediation. 2016;18(4):337-47. doi: 10.1080/15226514.2015.1109588.
Phytoremediation potential of the aquatic plant Spirodela polyrrhiza was examined for direct blue 129 (DB129) azo dye. The dye removal efficiency was optimized under the variable conditions of the operational parameters including removal time, initial dye concentration, pH, temperature and amount of plant. The study reflected the significantly enhanced dye removal efficiency of S. polyrrhiza by increasing the temperature, initial dye concentration and amount of plant. Intriguingly, artificial neural network (ANN) predicted the removal time as the most dominant parameter on DB129 removal efficiency. Furthermore, the effect of dye treatment on some physiologic indices of S. polyrrhiza including growth rate, photosynthetic pigments content, lipid peroxidation and antioxidant enzymes were studied. The results revealed a reduction in photosynthetic pigments content and in multiplication of fronds after exposure to dye solution. In contrast, malondialdehyde content as well as catalase (CAT) and peroxidase (POD) activities significantly increased that was probably due to the ability of plant to overcome oxidative stress. As a result of DB129 biodegradation, a number of intermediate compounds were identified by gas chromatography-mass spectroscopy (GC-MS) analysis. Accordingly, the probable degradation pathway of DB129 in S. polyrrhiza was postulated.
研究了水生植物紫萍对直接蓝129（DB129）偶氮染料的植物修复潜力。在包括去除时间、初始染料浓度、pH值、温度和植物量在内的操作参数可变条件下，对染料去除效率进行了优化。研究表明，通过提高温度、初始染料浓度和植物量，紫萍对染料的去除效率显著提高。有趣的是，人工神经网络（ANN）预测去除时间是影响DB129去除效率的最主要参数。此外，还研究了染料处理对紫萍一些生理指标的影响，包括生长速率、光合色素含量、脂质过氧化和抗氧化酶。结果显示，暴露于染料溶液后，光合色素含量降低，叶状体增殖减少。相反，丙二醛含量以及过氧化氢酶（CAT）和过氧化物酶（POD）活性显著增加，这可能是由于植物具有克服氧化应激的能力。通过气相色谱-质谱（GC-MS）分析，鉴定出了DB129生物降解过程中的一些中间化合物。据此，推测了DB129在紫萍中的可能降解途径。
