蔡祥,马瑞峻,陈瑜,颜振锋,黄丽.不同过滤条件对自然水体中有机磷农药吸收光谱与浓度预测模型的影响[J].华南农业大学学报,2022,43(1):102-109
不同过滤条件对自然水体中有机磷农药吸收光谱与浓度预测模型的影响
Effects of different filtration conditions on the absorption spectra and concentration prediction models of organophosphorus pesticides in natural water
投稿时间:2021-03-22  
DOI:10.7671/j.issn.1001-411X.202103033
中文关键词:  吸收光谱  有机磷农药  自然水体  过滤  快速检测  定量预测模型
英文关键词:Absorption spectroscopy  Organophosphorus pesticide  Natural water  Filter  Rapid detection  Quantitative prediction model
基金项目:国家重点研发计划(2016YDF0800901)
作者单位E-mail
蔡祥 华南农业大学 工程学院广东 广州 510642  
马瑞峻 华南农业大学 工程学院广东 广州 510642 maruijun_mrj@163.com 
陈瑜 华南农业大学 工程学院广东 广州 510642  
颜振锋 华南农业大学 工程学院广东 广州 510642  
黄丽 华南农业大学 工程学院广东 广州 510642  
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中文摘要:
      目的 紫外-可见吸收光谱法检测自然水体中有机磷农药浓度时,检测精度容易受水体中固体悬浮物引起的浊度干扰,在检测前需要对含有有机磷农药的自然水体进行预处理(过滤),本文研究不同过滤条件对自然水体中有机磷农药吸收光谱与浓度预测模型的影响。方法 选用甲基对硫磷为研究对象,以池塘水、农田水和河涌水为稀释剂,配制不同浓度梯度的试验样本,分别使用400目(40 μm孔径)纱布、5 μm滤膜、0.45 μm滤膜过滤3种自然水体-甲基对硫磷溶液。使用浊度仪检测自然水体过滤前后的浊度;用搭建的紫外-可见光谱检测系统获取过滤前后的试验样本光谱数据,结合化学计量学方法,构建甲基对硫磷农药的定量预测模型。结果 使用5 μm和0.45 μm滤膜过滤,3种自然水体浊度明显下降。不同过滤条件过滤前后,无论质量浓度高低甲基对硫磷在3种自然水体中均只有2个特征峰,位于225 和275 nm左右。整体上看,过滤增强了甲基对硫磷溶液浓度与光密度间的线性关系,过滤后的自然水体-甲基对硫磷溶液光谱模型均有较高的预测精度,可用于定量分析。本文采用的3种过滤条件中5 μm滤膜过滤效果最佳,能够去除浊度干扰,同时有机磷农药光谱模型具有较高的预测精度。结论 过滤后的甲基对硫磷农药模型中浊度干扰更少,更适合实际应用检测。本研究为紫外-可见吸收光谱法现场快速检测自然水体中有机磷农药浓度的预处理方法提供了理论依据。
英文摘要:
      Objective While detecting the concentration of organophosphorus pesticides in natural water by ultraviolet-visible absorption spectroscopy method, the detection accuracy was easily interfered by the turbidity caused by suspended solids in the natural water, therefore the natural water containing organophosphorus pesticides was needed to be pretreated (filtered) before detection. This paper studied the effects of different filtration conditions on the absorption spectra and concentration prediction models of organophosphorus pesticides in natural water.Method Methyl parathion was selected as the research object, meanwhile pond water, farmland water and canal water were used as diluents to prepare experimental samples with different concentration gradients. The study used 400 mesh (40 μm pore size) gauze, 5 μm filter membrane, 0.45 μm filter membrane to filter three kinds of natural water-organophosphorus pesticide solutions respectively, and used the turbidity sensor to detect the turbidity of natural water before and after filtration. The ultraviolet-visible absorption spectroscopy detection system was built to obtain the spectrum data of experimental sample before and after filtration, combining with chemometric methods to construct quantitative prediction models for methyl parathion.Result The turbidity of three kinds of natural water obviously decreased after filtration by 5 and 0.45 μm filter membranes. Methyl parathion had only two characteristic peaks in three kinds of natural water, which were located at about 225 and 275 nm respectively in samples with all tested mass concentrations before and after filtering by different filtration conditions. On the whole, filtration enhanced the linear relationship between the concentration and optical density of methyl parathion solutions, the filtered natural water-methyl parathion solution spectra models had high prediction accuracy and could be used for quantitative analysis. Among three filtration conditions used in this study, the 5 μm filter membrane had the best filtration effect, which could remove the turbidity disturbance and the organophosphorus pesticides spectra model had high prediction accuracy.Conclusion The filtered models of methyl parathion have less turbidity interference and are more suitable for practical application detection. This study provides a theoretical basis for pretreatment of rapid detection of organophosphorus pesticide concentration in natural water by ultraviolet-visible absorption spectroscopy.
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