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首页> 外文期刊>Pest Management Science >Spectral interval optimization on rapid determination of prohibited addition in pesticide by ATR-FTIR
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Spectral interval optimization on rapid determination of prohibited addition in pesticide by ATR-FTIR

机译:ATR-FTIR禁止禁止添加禁止添加的光谱间隔优化

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摘要

BACKGROUND Acetamiprid, as a low-toxicity pesticide, has already been extensively used to increase plant production and quality. Although fipronil has been prohibited, it is usually illicitly added to acetamiprid due to its particular insecticidal action and effect, so it is highly desirable to obtain a rapid and effective method to detect its concentration. Mid-infrared spectroscopy (MIR) combined with two variable selection methods, interval combination optimization (ICO) and interval partial least squares (iPLS), were used to determinate the prohibited addition of fipronil. RESULTS The full spectra for both ICO and iPLS were divided into 40 equal-width intervals. Consequently, 45 and 135 characteristic variables were extracted from ICO and iPLS to establish the models. Compared with iPLS, the ICO model acquired a more suitable spectral region and as a result gained a higher prediction accuracy. Specifically, the ICO method selected the characteristic wavelengths ascribed to C Symbol of the Klingon Empire F and C Symbol of the Klingon Empire N (in five-membered heterocyclics), iPLS chose the intervals associated with C Symbol of the Klingon Empire F and S(sic)O. CONCLUSION Results revealed that MIR combined with ICO could be efficiently used for rapid identification of illegal addition and had great potential to provide on-site pesticide quality control. (c) 2018 Society of Chemical Industry
机译:背景技术acetamiprid作为低毒性农药,已经广泛地用于提高植物生产和质量。虽然禁止氟罗尼尔,但由于其特定的杀虫作用和效果,通常是非法添加到acetaMiprid中,因此获得了检测其浓度的快速有效的方法是非常理想的。中红外光谱(MIR)与两个可变选择方法相结合,间隔组合优化(ICO)和间隔部分最小二乘(IPL)用于确定禁止添加FIPRONIL。结果ICO和IPLS的全光谱分为40个相等宽度的间隔。因此,从ICO和IPL提取45和135个特征变量以建立模型。与IPLS相比,ICO模型获取了更合适的光谱区域,并且结果获得了更高的预测精度。具体地,ICO方法选择了Klingon Empire N(在五元杂环中的Klingon帝国F和C符号的C符号的特征波长,IPLS选择与Klingon帝国F和S的C符号相关的间隔( sic)o。结论结果表明,MIR与ICO相结合,可以有效地用于快速识别非法添加,并具有巨大的潜力,提供现场农药质量控制。 (c)2018化学工业协会

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