Literature DB >> 27422646

Use of near-infrared spectroscopy and multipoint measurements for quality control of pharmaceutical drug products.

Mathieu Boiret1, Fabien Chauchard2.   

Abstract

Near-infrared (NIR) spectroscopy is a non-destructive analytical technique that enables better-understanding and optimization of pharmaceutical processes and final drug products. The use in line is often limited by acquisition speed and sampling area. This work focuses on performing a multipoint measurement at high acquisition speed at the end of the manufacturing process on a conveyor belt system to control both the distribution and the content of active pharmaceutical ingredient within final drug products, i.e., tablets. A specially designed probe with several collection fibers was developed for this study. By measuring spectral and spatial information, it provides physical and chemical knowledge on the final drug product. The NIR probe was installed on a conveyor belt system that enables the analysis of a lot of tablets. The use of these NIR multipoint measurement probes on a conveyor belt system provided an innovative method that has the potential to be used as a new paradigm to ensure the drug product quality at the end of the manufacturing process and as a new analytical method for the real-time release control strategy. Graphical abstract Use of near-infrared spectroscopy and multipoint measurements for quality control of pharmaceutical drug products.

Keywords:  In-line monitoring; Multipoint measurements; Near-infrared spectroscopy; Pharmaceuticals; Process analytical technology

Mesh:

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Year:  2016        PMID: 27422646     DOI: 10.1007/s00216-016-9756-9

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  2 in total

1.  Application of Near-Infrared Spectroscopy Analysis Technology to Total Nucleosides Quality Control in the Fermented Cordyceps Powder Production Process.

Authors:  Tiannv Shi; Yongmei Guan; Lihua Chen; Shiyu Huang; Weifeng Zhu; Chen Jin
Journal:  J Anal Methods Chem       Date:  2020-11-28       Impact factor: 2.193

2.  Discrimination of Minced Mutton Adulteration Based on Sized-Adaptive Online NIRS Information and 2D Conventional Neural Network.

Authors:  Zongxiu Bai; Jianfeng Gu; Rongguang Zhu; Xuedong Yao; Lichao Kang; Jianbing Ge
Journal:  Foods       Date:  2022-09-23
  2 in total

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