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作 者:邓征宇 肖新生 高冉 李晶晶 李佳颖 袁芳 刘羽 张慎 DENG Zheng-yu;XIAO Xin-sheng;GAO Ran;LI Jing-jing;LI Jia-ying;YUAN Fang;LIU Yu;ZHANG Shen(Yongzhou Tobacco Company of Hunan Province,Yongzhou 425000,PRC;College of Chemistry and Bio-Engineering,Hunan University of Science and Engineering,Yongzhou 425199,PRC)
机构地区:[1]湖南省烟草公司永州市公司,湖南永州425000 [2]湖南科技学院化学与生物工程学院,湖南永州425199
出 处:《湖南农业科学》2025年第3期78-82,共5页Hunan Agricultural Sciences
基 金:湖南省烟草公司永州市公司科技项目(YZ2023KJ10)。
摘 要:因气相色谱等大型仪器难以实现烤后烟叶中高效氯氟氰菊酯残留量的现场快速测定,研究对利用手持式近红外光谱仪预测烟叶中高效氯氟氰菊酯残留量的方法进行了探索。首先对叠放的烤后烟叶进行光谱采集,再采用CPM化学计量学软件进行建模和评价,最后评估了该模型的应用效果。结果表明:室内室温条件下采用9点法对6片叠放的烟叶进行数据采集,基于一阶导数光谱预处理,结合UVE波长变量筛选和偏最小二乘法(PLS),可建立烟叶高效氯氟氰菊酯残留量的最优近红外预测模型,其决定系数(R2)、校正集均方根误差(RMSEC)、验证集均方根误差(RMSECV)和预测集均方根误差(RMSEP)分别为0.9236、0.119、0.045和0.080。该模型可对烤后烟叶中高效氯氟氰菊酯残留量进行有效预测。Large precision instruments including gas chromatographs are difficult to achieve field rapid determination of cyhalothrin residues in tobacco leaves after curing.In view of this problem,this study used a portable near-infrared spectrometer to predict the cyhalothrin residues in tobacco leaves after curing.Firstly,the spectrum of stacked tobacco leaves after curing was collected,and then the chemometrics software CPM was used to model and evaluate the data collected by the portable spectrometer.Finally,the application effect of the model was evaluated.The spectrum of six stacked tobacco leaves were collected by the nine-point method under the conditions of indoors at room temperature,and pretreated by CPM through first-order derivative spectra.The optimal model was established via UVE wavelength variable selection and the partial least squares method.The established model showed the coefficient of determination,root mean square error of calibration,root mean squared error of cross validation,and root mean squared error of prediction being 0.9236,0.119,0.045,and 0.080,respectively.The results indicated that the near-infrared spectroscopy model can be used for predicting cyhalothrin residues in tobacco leaves after curing.
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