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Spatially and angularly resolved spectroscopy for in situ estimation of particle size and concentration in particle suspensions.

Created on 29 Jul 2026

Authors

Carla Ferreira, Javier Cardona, Okpeafoh Agimelen, Christos Tachtatzis, Ivan Andonovic, Jan Sefcik, Yi-Chieh Chen

Published in

Analytical and bioanalytical chemistry. Jul 29, 2026. Epub Jul 29, 2026.

Abstract

Accurate in-line monitoring of particle size and solid concentration in turbid, multiphase systems remains a significant challenge in pharmaceutical manufacturing. Most particle measurement techniques are developed for off-line analysis, while recent in-line methods mainly rely on imaging and chord length distribution (CLD) measurement. Complementing these approaches, the spatially and angularly resolved diffuse reflectance measurement (SAR-DRM) system serves as a process analytical technology analyzer, capturing detailed, configuration-dependent spectral responses of particle suspensions. This study systematically evaluates SAR-DRM's effectiveness in analyzing a wide range of particle diameters (≤90-800 µm) and concentrations (1-10 wt%) for polystyrene suspensions. The visible-NIR and NIR measurements from its multiple spatial-angular fiber configurations are further analyzed to assess their potential in complementing other in-line techniques, improving interpretability and analytical performance. The results show that combining specific SAR-DRM configurations through data augmentation markedly enhances model performance compared to individual configurations or co-adding methods, reducing error by over 50% in some cases. Moreover, data fusion of SAR-DRM with CLD measurements yields the most accurate models, particularly for mid-sized particles, decreasing the prediction error to 10-12 µm. The study highlights SAR-DRM as a promising process analytical technology analyzer for particulate process monitoring, paving the way for advanced hybrid modelling in pharmaceutical and chemical manufacturing. It also underscores the complementary sensing capabilities of SAR-DRM and CLD measurements, providing a robust multisensory platform for real-time, quantitative analysis in complex, high-turbidity systems.

PMID:
42525265
Bibliographic data and abstract were imported from PubMed on 29 Jul 2026.

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