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首页> 外文期刊>Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers >Application of watercress (Nasturtium officinale R. Br.) for biotreatment of a textile dye: Investigation of some physiological responses and effects of operational parameters
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Application of watercress (Nasturtium officinale R. Br.) for biotreatment of a textile dye: Investigation of some physiological responses and effects of operational parameters

机译:豆瓣菜(Nasturtium officinale R. Br。)在纺织染料生物处理中的应用:一些生理反应和操作参数的影响研究

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摘要

Phytoremediation is an effective and low cost technology to remove different pollutants such as dye containing effluents from the environment. In the present study, the potential of Nasturtium officinale for degradation of C.I. Basic Red 46 (BR46) were investigated. The results revealed the decolorization ability of the plant species up to 87%. The metabolic fate of the dye was proposed by identification of six intermediate compounds produced during this process by GC-MS technique. Some physiological responses of the plant were evaluated under 10 and 20mg/L of the dye with notable increase in superoxide dismutase, peroxidase and catalase activities as well as photosynthetic pigments content at high concentration. The results suggested induction of oxidative stress under dye treatment and demonstrated watercress's capacity to upregulate its antioxidative defense. The effect of some operational parameters (initial dye concentration, temperature, pH and amount of plant) on the efficiency of biological decolorization process was determined. The effect of initial BR46 concentration was more significant on dye removal efficiency. An artificial neural network (ANN) model was developed to predict the biodegradation efficiency. The results indicated that ANN provided reasonable predictive performance (R~2=0.965).
机译:植物修复是一种有效的低成本技术,可以从环境中去除不同的污染物,例如含染料的废水。在本研究中,金莲花对C.I.的降解潜力。研究了碱性红46(BR46)。结果表明,该植物物种的脱色能力高达87%。通过鉴定该过程中通过GC-MS技术产生的六种中间化合物,提出了染料的代谢命运。在10和20mg / L的染料下评估了植物的某些生理反应,高浓度时超氧化物歧化酶,过氧化物酶和过氧化氢酶活性以及光合色素含量显着增加。结果表明在染料处理下诱导了氧化应激,并证明了豆瓣菜具有上调其抗氧化防御能力。确定了一些操作参数(初始染料浓度,温度,pH和植物数量)对生物脱色过程效率的影响。 BR46初始浓度对染料去除效率的影响更大。建立了人工神经网络(ANN)模型来预测生物降解效率。结果表明,人工神经网络提供了合理的预测性能(R〜2 = 0.965)。

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