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Near infrared and Raman spectroscopy for the in-process monitoring of pharmaceutical production processes
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Within the Process Analytical Technology (PAT) framework, it is of utmost importance to obtain critical process and formulation information during pharmaceutical processing. Process analyzers are the essential PAT tools for real-time process monitoring and control as they supply the data from which relevant process and product information and conclusions are to be extracted. Since the last decade, near infrared (NIR) and Raman spectroscopy have been increasingly used for real-time measurements of critical process and product attributes, as these techniques allow rapid and nondestructive measurements without sample preparations. Furthermore, both techniques provide chemical and physical information leading to increased process understanding. Probes coupled to the spectrometers by fiber optic cables can be implemented directly into the process streams allowing continuous in-process measurements. This paper aims at reviewing the use of Raman and NIR spectroscopy in the PAT setting, i.e., during processing, with special emphasis in pharmaceutics and dosage forms.
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“Currently, there are few reviews of vibrational spectroscopy as it pertains to the microalgae industry [9,17-19]; however, these reviews do not take into account the technological progress and development of on-line/in-line vibrational spectroscopy implemented in bioprocess, pharmaceutical, and liquid and solid food industries [20-28]”
From Microalgal process-monitoring based on high-selectivity spectroscopy tools: status and future perspectives (2018) · cites this paper as [25]
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Metadata
- Authors
- De Beer, T., Burggraeve, A., Fonteyne, M., Saerens, L., Remon, J. P., & Vervaet, C.
- Affiliations
- Ghent University (BE)
- Venue
- International Journal of Pharmaceutics
- Publisher
- Elsevier BV
- Published
- 2011-09
- Volume
- 417
- Issue
- 1-2
- Pages
- 32-47
- ISSN
- 0378-5173 (ISSN-L)
- OpenAlex
- W2083259132
- Cited by
- 559
- References
- 112
- Citations by year
- 2026: 22 · 2025: 37 · 2024: 35 · 2023: 27 · 2022: 32 · 2021: 56 · 2020: 28 · 2019: 37 · 2018: 45 · 2017: 45 · 2016: 41 · 2015: 39 · 2014: 38 · 2013: 37 · 2012: 32
- FWCI
- 2.72
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- International Journal of Pharmaceutics (publishedVersion)
- PubMed (publishedVersion)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion, other-oa)
- Topics
- Physical Sciences › Chemistry › Analytical Chemistry › Spectroscopy and Chemometric Analyses
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Spectroscopy Techniques in Biomedical and Chemical Research
- Physical Sciences › Chemistry › Analytical Chemistry › Analytical Methods in Pharmaceuticals
- Keywords
- near-infrared spectroscopy, Raman spectroscopy, process analytical technology, real-time process monitoring, pharmaceutical manufacturing, optical fiber probe, pharmaceutical dosage forms, non-destructive measurement
- MeSH terms
- Chemistry, Pharmaceutical, Dosage Forms, Quality Control, Spectrum Analysis, Raman, Technology, Pharmaceutical, Spectroscopy, Near-Infrared
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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