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- W2380402004 abstract "A method was developed for the rapid quantitative analysis of routine chemical components in reconstituted tobacco raw materials( flaky and powdery) based on the combined application of near- infrared diffuse reflection spectroscopy and chemometrics methods. The near- infrared spectrums of 354 representative raw material samples were collected by Fourier transform near- infrared analyzer. The models describing the relationships between near- infrared spectrum and content of nicotine,total sugar,reducing sugar and chlorine were established by using partial least squares method,and the predicted effect,stability and repeatability of these models were evaluated. The results revealed that all prediction models had semblable and low root mean square error of calibration and root mean square error of prediction,and their correlation coefficients were all above 0. 98. Moreover,the average relative deviations of the predicted values of nicotine,total sugar,and reducing sugar were all less than 4%; while the chlorine model showed an average absolute deviation of 0. 04% and an average relative deviation of 6. 09% in predicting 30 different samples. The internal and external verification of these prediction models indicated that this quantitative analysis by near- infrared spectroscopy could obtain accurate and reliable result,which was not significantly different from that obtained by using flow analysis method." @default.
- W2380402004 created "2016-06-24" @default.
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- W2380402004 date "2015-01-01" @default.
- W2380402004 modified "2023-09-23" @default.
- W2380402004 title "Quantitative Analysis of Routine Chemical Components in Reconstituted Tobacco Raw Materials by Near-infrared Spectroscopy" @default.
- W2380402004 hasPublicationYear "2015" @default.
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