Highly robust AgIO3/MIL-53 (Fe) nanohybrid composites for degradation of organophosphorus pesticides in single and binary systems: Application of artificial neural networks modellingm
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https://figshare.com/articles/dataset/Highly_robust_AgIO3_MIL-53_Fe_nanohybrid_composites_for_degradation_of_organophosphorus_pesticides_in_single_and_binary_systems_Application_of_artificial_neural_networks_modellingm/5745927
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A robust sunlight-driven AgIO<sub>3</sub>/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 Na<sub>2</sub>S<sub>2</sub>O<sub>8</sub> are required for complete mineralisation of the pesticides
提供机构:
figshare
创建时间:
2017-12-31



