@inproceedings{445edf875d964cb6bcb3d0ba4652d820,
title = "Sample Optimization of Fast Authentication of Concentrated Chinese Medicine Granules Using FTIR-ATR with Chemometrics",
abstract = "Concentrated Chinese medicine granules (CCMG) are the granular form of Chinese medicine that can be conveniently taken orally and have proven efficacy. In recent years, the quality of CCMG has raised public concern. Fourier transform infrared spectroscopy attenuated total reflection (FTIR-ATR) is a relatively simple, rapid and reliable analytical tool for Western drug verification, whereas application studies of FTIR-ATR for CCMG classification are very limited, possibly due to the higher chemical complexity in CCMG. To address this problem, FTIR-ATR coupled with chemometric and deep learning approaches are proposed. In this study, four species of CCMG, which share the same therapeutic function group, tonics, were selected for CCMG discrimination. The spectral data preprocessing, sample preparation method and spectral range selection for CCMG discrimination were optimized. This sample optimization analysis is essential for the subsequent deep learning analysis.",
keywords = "Authentication, CCMG, Chemometrics, Concentrated Chinese medicine granules, FTIR-ATR",
author = "Fung, {S. H.} and Wong, {E. S.W.} and O, {C. Y.} and Chan, {S. M.N.} and SZE, {Tung Po Eric} and Tang, {W. F.} and Li, {C. H.} and Lee, {F. W.F.}",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; World Conference on Smart Trends in Systems, Security, and Sustainability, WS4 2023 ; Conference date: 21-08-2023 Through 24-08-2023",
year = "2024",
doi = "10.1007/978-981-99-7569-3_38",
language = "English",
isbn = "9789819975686",
series = "Lecture Notes in Networks and Systems",
pages = "465--474",
editor = "Nagar, {Atulya K.} and Jat, {Dharm Singh} and Durgesh Mishra and Amit Joshi",
booktitle = "Intelligent Sustainable Systems - Selected Papers of WorldS4 2023",
}