Yunnan Tobacco Company Dali Branch

Yunnan, China

Yunnan Tobacco Company Dali Branch

Yunnan, China
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Wang D.,China Agricultural University | Wang D.,Beijing Research Center for Information Technology in Agriculture | Ding Y.S.,Yunnan Tobacco Company Dali Branch | Cao J.L.,Yunnan Tobacco Company Dali Branch | And 3 more authors.
Chinese Chemical Letters | Year: 2011

The NIR micro-images of ibuprofen tablets were collected in this research. Compare correlation imaging and principal component analysis (PCA) with histogram were applied to acquire the spatial distribution of ibuprofen granule. The result indicated that a similar distribution trend can be acquired by both of the two methods mentioned above; the information of PC2 results from ibuprofen mainly since the correlation coefficient between PC2 loading vector and the NIR spectrum of ibuprofen is 0.9930. The result of PCA indicated that the information of PC2 results from ibuprofen mainly for both the low and the high content of ibuprofen in the tablets. The correlation coefficient between the data of the two PC2 loading vectors of the low and the high content of ibuprofen in the tablets is 0.9998, which indicates that the result of PCA is stable and reliable. © 2011 Shun Geng Min. Published by Elsevier B.V. on behalf of Chinese Chemical Society. All rights reserved.


Wang D.,China Agricultural University | Wang D.,Center for Monitoring Research | Ding Y.-S.,Yunnan Tobacco Company Dali Branch | Guo Z.-H.,China Agricultural University | Min S.-G.,China Agricultural University
Journal of Innovative Optical Health Sciences | Year: 2014

In this research, suitable imaging methods were used for acquiring single compound images of biology samples of chicken pectorales tissue section, tobacco dry leaf, fresh leaf and plant glandular hair, respectively. The adverse effects caused by the high water content and the thermal effect of near infrared (NIR) light were effectively solved during the experiment procedures and the data processing. PCA algorithm was applied to the NIR micro-image of chicken pectorales tissue. Comparing the loading vector of PC3 with the NIR spectrum of dry albumen, the information of PC3 was confirmed to be provided mainly by protein, i.e., the 3rd score image represents the distribution trend of protein mainly. PCA algorithm was applied to the NIR micro-image of tobacco dry leaf. The information of PC2 was confirmed to be provided by carbohydrate including starch mainly. Compared to the 2nd score image of tobacco dry leaf, the compared correlation image with the reference spectrum of starch had the same distribution trend as the 2nd score image. The comparative correlation images with the reference spectra of protein, glucose, fructose and the total plant alkaloid were acquired to confirm the distribution trend of these compounds in tobacco dry leaf respectively. Comparative correlation images of fresh leaf with the reference spectra of protein, starch, fructose, glucose and water were acquired to confirm the distribution trend of these compounds in fresh leaf. Chemimap imaging of plant glandular hair was acquired to show the tubular structure clearly. © 2014 The Authors.

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