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| Study on Nondestructive Testing of Tipping Paper by SEM / EDS Combined with Multivariate Statistics |
| Received:December 16, 2020 |
| DOI：10.11980/j.issn.0254-508X.2021.04.006 |
| Key Words:cigarette tipping paper scanning electron microscopy X-ray energy spectrum multivariate statistics discrimination test |
| Fund Project:中国人民公安大学2019年基科费重点项目（2019JKF222）。 |
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| Abstract:In order to establish a rapid test of tipping paper model， 60 samples of tipping paper were analyzed by Scanning Electron Microscope/Energy Spectrometry （SEM/EDS） combined with multivariate statistics. Firstly， the samples were preliminarily classified based on the appearance color and the micro morphology under SEM. Then， the samples were further grouped by K-means clustering method according to the content of inorganic elements determined by X-ray energy dispersive spectrometer. At the same time， the accuracy of clustering results was verified by principal component analysis and multiple linear regression analysis. Then， the discriminant function prediction model was constructed through discriminant analysis. The classification model based on K-means clustering method was established and verified with two unknown samples. The yellow rough tipping papers were divided into four groups by combining K-means clustering and sum squared within group method， and the clustering results were verified by multiple linear regression analysis. The results showed that the significance level of linear regression model was 0.001， and each element variable had a significant impact on the group variable. Discriminant analysis showed that the accuracy of the classification model composed of three discriminant functions reached 100% with successfully identification of two unknown samples. |
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