中文摘要：有机磷农药是一种非常重要的农药，由于其具有较高的杀虫性能及能在环境中适当停留而被广泛应用于农业，因此，对有机磷农药的敏感性和特异性检测具有十分重要的意义。本文在基于？CMYK 颜色密度和非线性模型的计算机图像分析过程中加入了比色分析法进行有机磷农药残留检测。实验结果显示，随着敌敌畏浓度的增加，黄色密度在逐渐下降。使用人工神经网络建模方法对敌敌畏浓度进行定量分析，发现模型在训练集和预测集之间具有良好的预测性。分别采用比色法和气相色谱法对白菜样本进行敌敌畏含量检测，发现两种方法检测结果无明显差异，比色法在实验结果的准确度、精密度和重复性等方面都表现良好，因此本方法可广泛应用于有机磷农药和氨基甲酸酯类农药的检测。
外文摘要：Organophosphorus pesticides (OPs) represent a very important class of pesticides that are widely used in agriculture because of their relatively high-performance and moderate environmental persistence, hence the sensitive and specific detection of OPs is highly significant. Based on the inhibitory effect of acetylcholinesterase (AChE) induced by inhibitors, including OPs and carbamates, a colorimetric analysis was used for detection of OPs with computer image analysis of color density in CMYK (cyan, magenta, yellow and black) color space and non-linear modeling. The results showed that there was a gradually weakened trend of yellow intensity with the increase of the concentration of dichlorvos. The quantitative analysis of dichlorvos was achieved by Artificial Neural Network (ANN) modeling, and the results showed that the established model had a good predictive ability between training sets and predictive sets. Real cabbage samples containing dichlorvos were detected by colorimetry and gas chromatography (GC), respectively. The results showed that there was no significant difference between colorimetry and GC (P > 0.05). The experiments of accuracy, precision and repeatability revealed good performance for detection of OPs. AChE can also be inhibited by carbamates, and therefore this method has potential applications in real samples for OPs and carbamates because of high selectivity and sensitivity.
外文关键词：Organophosphorus pesticides, colorimetry, quantitative analysis, computer image analysis, ANN
作者：Li, Yanjie; Hou, Changjun; Lei, Jincan; Deng, Bo; Huang, Jing; Yang, Mei
作者单位：JAPAN SOC ANALYTICAL CHEMISTRY, 26-2 NISHIGOTANDA 1 CHOME SHINAGAWA-KU, TOKYO, 141, JAPAN
期刊名称：ANALYTICAL SCIENCES
期刊影响因子：1.174
出版年份：2016
出版刊次：7
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