Multispectral UV imaging for fast and non-destructive quality control of chemical and physical tablet attributes-Reference-Cited by-同舟云学术

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Multispectral UV imaging for fast and non-destructive quality control of chemical and physical tablet attributes

Published:2016-07 Issue: Volume:90 Page:85-95
ISSN:0928-0987
Container-title:European Journal of Pharmaceutical Sciences
language:en
Short-container-title:European Journal of Pharmaceutical Sciences

Author:

Klukkert Marten^ORCID,Wu Jian X.,Rantanen Jukka,Carstensen Jens M.,Rades Thomas,Leopold Claudia S.

Publisher

Elsevier BV

Subject

Pharmaceutical Science

Reference59 articles.

1. Study of radial die-wall pressure changes during pharmaceutical powder compaction;Abdel-Hamid;Drug Dev. Ind. Pharm.,2011

2. Direct quantification and distribution assessment of major and minor components in pharmaceutical tablets by NIR-chemical imaging;Amigo;Eur. J. Pharm. Sci.,2009

3. A comparison of a common approach to partial least squares-discriminant analysis and classical least squares in hyperspectral imaging;Amigo;Int. J. Pharm.,2009

4. Supervised pattern recognition in food analysis;Berrueta;J. Chromatogr. A,2007

5. Content uniformity and tablet hardness testing of intact pharmaceutical tablets by near infrared spectroscopy;Blanco;Anal. Chim. Acta,2006

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1. UV imaging for the rapid at-line content determination of different colourless APIs in their tablets with artificial neural networks;International Journal of Pharmaceutics;2024-05

2. UV–VIS imaging-based investigation of API concentration fluctuation caused by the sticking behaviour of pharmaceutical powder blends;International Journal of Pharmaceutics;2024-04

3. Simple Preparation of a Unique Ionic Liquid/Deep Eutectic Solvent and β-Cyclodextrin Composite Discs and Its Use to Capture Hazardous Substances from Water;Separations;2023-06-15

4. Simultaneous modeling prediction of three key quality attributes of tablets by powder physical properties;International Journal of Pharmaceutics;2022-11

5. Single Seed Identification in Three Medicago Species via Multispectral Imaging Combined with Stacking Ensemble Learning;Sensors;2022-10-04

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