4.4 Article

Applicability of Raman and near-infrared spectroscopy in the monitoring of freeze-drying injectable ibuprofen

期刊

DRUG DEVELOPMENT AND INDUSTRIAL PHARMACY
卷 47, 期 5, 页码 758-769

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TAYLOR & FRANCIS LTD
DOI: 10.1080/03639045.2021.1934864

关键词

Process analytical technology (PAT); near-infrared spectroscopy; Raman spectroscopy; real-time monitoring; ibuprofen; freeze-drying; partial least square (PLS) regression; moisture content

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The study demonstrates the feasibility of using NIR and Raman spectroscopy for monitoring the freeze-drying process, with NIR being a useful tool for predicting residual moisture content and IBP values. Despite some challenges with overlapping absorption bands in a multi-component system, NIR spectra were consistent with HPLC measurements.
The freeze-drying process is an expensive, time-consuming and rather complex process. Therefore, process analytical technology (PAT) tools have been introduced to develop an optimized process and control critical process parameters, which affect the final product quality. The aim of the present work was to study the applicability of at-line near-infrared (NIR) and Raman spectroscopy approach in the monitoring of the freeze-drying process. Freeze-dried powders, which were developed previously, were manufactured as a multi-component system, containing ibuprofen (IBP). The NIR proved to be a useful tool for the monitoring of the freeze-drying process, since it was able to determine residual moisture content (RMC) and hence predict its values by using the partial least square (PLS) model. In addition, the evaluation of the correlation between the NIR and off-line HPLC IBP content results showed that NIR spectra were consistent with the HPLC measurements, even though overlapping absorption bands in multi-component system were observed. This research also studied the ability of using the at-line Raman measurements for the evaluation of the crystallinity and polymorphic transformations during the process, such as IBP ionization and mannitol polymorphism. The results were in correlation with XRPD results, but parameters of PLS models were not optimal. Nevertheless, this approach still assured better process understanding. To conclude, high applicability of the at-line NIR in the monitoring of the freeze-dried powder production was successfully demonstrated, suggesting that it can be used as a single tool to monitor RMC and IBP content as well as process deviations during the freeze-drying process.

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