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Highly robust AgIO3/MIL-53 (Fe) nanohybrid composites for degradation of organophosphorus pesticides in single and binary systems: Application of artificial neural networks modelling
Journal of the Taiwan Institute of Chemical Engineers ( IF 5.7 ) Pub Date : 2017-12-29 , DOI: 10.1016/j.jtice.2017.12.013
Akeem Adeyemi Oladipo , Roozbeh Vaziri , Mosab Ali Abureesh

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 Na2S2O8 are required for complete mineralisation of the pesticides.



中文翻译:

用于单一和二元系统中有机磷农药降解的高度耐用的AgIO 3 / MIL-53(Fe)纳米杂化复合材料:人工神经网络建模的应用

强大的阳光驱动AgIO 3/ MIL-53(Fe)纳米杂化复合物(NC)已成功合成和表征。通过在阳光照射下分解两种有机磷酸酯农药(甲基马拉硫磷(MP)和毒死rif(CP))来评估NC的功效。MP和CP的降解受到pH,催化剂剂量和农药初始浓度的强烈影响。在60分钟的太阳光照射下,自来水和蒸馏水中的CP和MP分别降低约78-90%。在二元混合物(MP + CP)中,在180分钟内实现了约70%的矿化。NC的效率归因于光生载流子的延长分离,高浓度的表面羟基和高比表面积。在人工神经网络(ANN)预测的条件下,0.5 g NC,pH 5和2.5 mL的50 mg / L Na 2S 2 O 8是农药完全矿化所必需的。

更新日期:2017-12-29
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