Title: Study on intelligent control method of pharmaceutical production quality based on chromatographic fingerprint

Authors: Liyuan Zhang; Yong Yang; Xuefeng Wang

Addresses: Department of Food and Drug Engineering, Shijiazhuang University of Applied Technology, Shijiazhuang, 050081, China ' Department of Student Affairs, Shijiazhuang University of Applied Technology, Shijiazhuang, 050081, China ' Department of Food and Drug Engineering, Shijiazhuang University of Applied Technology, Shijiazhuang, 050081, China

Abstract: Aiming at the problems of low control accuracy and long control time in traditional intelligent control methods of drug production quality, an intelligent control method of drug production quality based on chromatographic fingerprint was proposed. Extract the chromatographic fingerprint of drug production quality, and use wavelet transform to de-noise the obtained fingerprint. According to the preprocessing results, use the real-time mean method to calculate the mean value of the real-time converted chromatographic fingerprint data. Through the tolerance zone of the fingerprint, convert the drug chromatographic fingerprint data. Based on the data conversion results, grade the drug production quality through fuzzy classification. The interval hesitation fuzzy control chart is constructed to carry out intelligent control of drug production quality. The experimental results show that the proposed method has higher precision and shorter control time for drug production quality intelligent control.

Keywords: chromatographic fingerprint; drug production quality; intelligent control; real-time mean method; fuzzy control chart.

DOI: 10.1504/IJMTM.2025.144115

International Journal of Manufacturing Technology and Management, 2025 Vol.39 No.1/2, pp.152 - 167

Received: 17 Jan 2023
Accepted: 21 Mar 2023
Published online: 28 Jan 2025 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article