Abstract
Process analysis can effectively stabilize pharmaceutical quality and optimize the control of production process. This study attempted to use a portable near-infrared spectroscopy for rapid detection of a Chinese medicine tablets from production line. First, PLS regression models were established for coating film at twelve different locations of the tablet section, and the results showed that the correlation coefficients of training and validation sets were all over 0.80. Subsequently, the twelve locations were divided into six groups to further establish regressions. After chemometrics optimization, the optimal of six group models were generally better than single location models, with Rc2 and Rv2 all above 0.85, and RMSEV values all below 2.0. The proposed approach can successfully realize on-site and online pharmaceutical monitoring and has a promising practical value.
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Acknowledgments
This research is financially supported by the project from the health food industry research institute (**nghua, China Agricultural University (No.201905)).
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Zhu, Y., Shi, Y., Chen, R., Wang, S., Zhong, Z., Huang, Y. (2022). Coating Control on a Functional Digestion Tablet by Portable Near-Infrared Spectroscopy. In: Chu, X., Guo, L., Huang, Y., Yuan, H. (eds) Sense the Real Change: Proceedings of the 20th International Conference on Near Infrared Spectroscopy. ICNIR 2021. Springer, Singapore. https://doi.org/10.1007/978-981-19-4884-8_23
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DOI: https://doi.org/10.1007/978-981-19-4884-8_23
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Publisher Name: Springer, Singapore
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Online ISBN: 978-981-19-4884-8
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