Quantitative applications for pharmaceutical solid dosage forms using near-infrared (NIR) spectroscopy are central to process analytical technology (PAT) manufacturing designs. A series of studies were conducted to evaluate the use of NIR transmission mode under various pharmaceutical settings. The
Assessment of diffuse transmission and reflection modes in near-infrared quantification, part 2: Diffuse reflection information depth
β Scribed by Muhanned Saeed; Leila Probst; Gabriele Betz
- Publisher
- John Wiley and Sons
- Year
- 2011
- Tongue
- English
- Weight
- 631 KB
- Volume
- 100
- Category
- Article
- ISSN
- 0022-3549
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β¦ Synopsis
Near-infrared spectroscopy offers tremendous advantages for pharmaceutical manufacturing as a fast and nondestructive method of quantitative and qualitative analysis. Content uniformity (end-product analytics) and process analytics are two important applications of the method. Diffuse reflection (DR) information depth (vertical sampling span) assessment is of equal importance in content prediction applications and to understand the effect of inhomogeneities in the sample. Three experiments were conducted: (a) 0.5 to 10.0 mm incremental thickness MCC tablets with constant porosity, (b) MCC/phenylbutazone (PBZ) double-layered (DL) tablets (PBZ layer 0%-100% in 0.5 mm steps), and (c) Comparison of placebo and 30% caffeine tablet cores with incremental film coating (film thickness of 0-0.35 mm). Incremental thickness and cluster analysis of DL tablets showed that DR information depth was <0.5 mm, whereas the data fitting from incremental coating showed that signal drop reached 50% at 0.05 to 0.07 mm, depending on the wavenumber and 90% signal drop (10% information content) can be seen between 0.20 and 0.25 mm without extrapolation. These results mean that DR mode for pharmaceutical tablets obtains spectral information from the very surface, and radiation is barely reflected back from beyond thin-film coatings, making it less useful than diffuse transmission mode for core content analysis, especially for thick-coated, multilayer, multicore, or highly inhomogeneous tablets.
π SIMILAR VOLUMES
This is the first of a series of articles applying Monte Carlo simulation-based photon migration to enhance understanding of near-infrared (NIR) diffuse reflectance in pharmaceutical analysis. This article aims to enhance mechanistic understanding on the interaction between NIR light and pharmaceuti