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Journal of Spectroscopy
Volume 2019, Article ID 9326789, 13 pages
https://doi.org/10.1155/2019/9326789
Research Article

Study on the Processing Technology of Calamine Calcination by Near-Infrared Spectroscopy

1Key Laboratory of Ministry of Education on Traditional Chinese Medicine Resource and Compound Prescription & Hubei University of Chinese Medicine, Wuhan 430065, China
2Xiangyang Central Hospital, Xiangyang, Hubei 441500, China
3Mayinglong Pharmaceutical Group Co., Wuhan 430065, China

Correspondence should be addressed to Keli Chen; moc.621@nehcilek

Received 5 November 2018; Revised 25 January 2019; Accepted 14 February 2019; Published 10 March 2019

Academic Editor: Feride Severcan

Copyright © 2019 Xiaodong Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Near-infrared spectroscopy has been widely used in qualitative and quantitative analysis and online monitoring in the production process of traditional Chinese medicines. The aim was to establish a fast determination model of zinc oxide (ZnO) content in calcined calamine and to explore methods through judging the end point of calamine calcination. Eight batches of calamine samples sourced from hydrozincite with different sizes and textures were calcined at different temperatures. During the calcination process, ZnO contents, X-ray diffraction (XRD) patterns, and near-infrared spectra of the samples were used to analyze their changes rules. The model of determining ZnO content of calcined calamine was established to use near-infrared spectroscopy based on the partial least squares (PLS) regression algorithm. In addition, this paper summarized the change rules of calamine in calcination according to XRD patterns, using the “K value” quantitative method to define the characteristic T value. When the T value was equal to 1.00 (100%), that is to say, the calamine sample was completely calcined. Then, matching the near-infrared spectroscopy data with the T value and establishing the T value analysis model using the PLS algorithm were performed. Through cross and independent validation and evaluation, it was proved that the two models were very effective and had strong predictive abilities. Finally, the purpose of the online monitoring of the calcination process and controlling the quality of the calcined calamine was achieved.