首页> 外文期刊>Journal of the Taiwan Institute of Chemical Engineers >Highly robust AgIO 3/MIL-53 (Fe) nanohybrid composites for degradation of organophosphorus pesticides in single and binary systems: Application of artificial neural networks modelling
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Highly robust AgIO 3/MIL-53 (Fe) nanohybrid composites for degradation of organophosphorus pesticides in single and binary systems: Application of artificial neural networks modelling

机译:高稳健的AGIO 3 / MIL-53(FE)纳米组合复合材料用于单一和二元系统中有机磷农药的降解:人工神经网络建模的应用

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摘要

A robust sunlight-driven AgIO3/MIL-53 (Fe) nanohybrid composite (NC) was successfully synthesised and characterised. The efficacy of the NC was estimated by decomposing two organophosphates pesticides (methyl malathion (MP) and chlorpyrifos (CP)) under sunlight irradiation. The degradation of MP and CP was strongly influenced by pH, catalyst dose and initial pesticide concentration. Under 60?min solar light illumination, ~78–90% CP and MP were degraded individually in tap and distilled water, respectively. In binary mixture (MP?+?CP), ~70% mineralisation was achieved within 180?min. The efficiency of NC is attributed to the prolonged separation of photogenerated carriers, a large concentration of surface hydroxyl groups and high specific surface area. Under artificial neural network (ANN) predicted conditions, 0.5?g NC, pH 5 and 2.5?mL of 50?mg/L Na2S2O8are required for complete mineralisation of the pesticides.
机译:成功地合成并表征了一种稳健的阳光驱动的AGIO3 / MIR-53(Fe)纳米组合复合物(NC)。 通过在阳光照射下分解两个有机磷酸杀虫剂(甲基马他磷酸酯(MP)和氯吡啶(CP))来估算NC的疗效。 MP和Cp的降解受pH,催化剂剂量和初始农药浓度的强烈影响。 在60°以下的太阳光照次数下,〜78-90%CP和MP分别分别在轻拍和蒸馏水中单独降解。 在二元混合物(MP?+βcP)中,在180℃内实现〜70%的矿化。 NC的效率归因于光生载体的长期分离,大浓度的表面羟基和高比表面积。 在人工神经网络(ANN)下,预测条件,0.5?G NC,pH 5和2.5?ML的50×Mg / L NA2S2O8的完全矿化所需的50×Mg / L Na 2 O 6。

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