Literature DB >> 30916927

Hyperspectral Raman Line Mapping as an Effective Tool To Monitor the Coating Thickness of Pharmaceutical Tablets.

Si Won Song1, Jaejin Kim2, Changhwan Eum3, Youngho Cho1, Chan Ryang Park1, Young-Ah Woo2, Hyung Min Kim1, Hoeil Chung3.   

Abstract

Protective chemical coatings are deposited on drugs during the manufacturing process for the purpose of controlling the pharmacokinetics of active pharmaceutical ingredients (APIs). Although manufacturers attempt to coat all the tablets uniformly, the film thickness of an individual drug is statistically different and depends on the measuring position of the anisotropic structure, and analytical methods for measuring coating thickness must be robust to statistical and geometrical aberrations. Herein, we demonstrate that a spatially offset Raman-spectroscopy-based line mapping method offered excellent calibration and prediction of the coating thickness of 270 acetaminophen ( N-acetyl-para-aminophenol, paracetamol) tablets. Raman-scattered light resurfaced back from the coating and APIs, and offset-resolved spectra were projected according to the vertical positions in an imaging sensor. The Raman intensity ratio between the coating substance and the inner APIs is a key parameter in the analysis, and its variation with respect to the spatial offset is proportional to the coating thickness and duration. The results of this study have implications for the rapid spectroscopic thickness measurement of industrial products coated with transparent or translucent materials.

Entities:  

Year:  2019        PMID: 30916927     DOI: 10.1021/acs.analchem.9b00047

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  2 in total

1.  Analysis of subcutaneous swine fat via deep Raman spectroscopy using a fiber-optic probe.

Authors:  Jeon Woong Kang; Soo Yeong Lim; Luis H Galindo; Hongman Yoon; Ramachandra R Dasari; Peter T C So; Hyung Min Kim
Journal:  Analyst       Date:  2020-05-22       Impact factor: 4.616

Review 2.  A Review of Pharmaceutical Robot based on Hyperspectral Technology.

Authors:  Xuesan Su; Yaonan Wang; Jianxu Mao; Yurong Chen; ATing Yin; Bingrui Zhao; Hui Zhang; Min Liu
Journal:  J Intell Robot Syst       Date:  2022-07-22       Impact factor: 3.129

  2 in total

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