Raman as a PAT Tool - Pharmaceutical Technology

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Raman as a PAT Tool


Pharmaceutical Technology Europe


FDA's process analytical technology (PAT) initiative that asserts "quality cannot be tested into products, it should be built in or should be by design" has generated a large amount of interest in new technologies for pharmaceutical analysis.1,2 A key aspect of FDA's PAT philosophy is that every stage of the manufacturing process should be monitored and understood so that the end product is right first time, every time. In practice, the implementation of this philosophy will require a range of analytical tools capable of operating throughout the manufacturing process: at-line, on-line and in-line.

These technologies must be capable of generating detailed, meaningful results in real time, which may be fed back into the control mechanisms of the process to ensure the final product quality is consistently maintained. Near infrared (NIR) spectroscopy has been widely discussed and applied in this role.3 Raman spectroscopy also has great potential in this application and has indeed formed part of FDA's PAT initiative education programme1 and reports are now beginning to appear in the literature discussing Raman's application as a PAT-type tool.4–8

Benefits for PAT Applications The Raman effect was first observed in 1928 by C.V. Raman9 and has been extensively studied and applied, generating an enormous body of scientific literature. This superior scientific foundation enables a deeper, molecular level understanding of the manufacturing process and gives confidence to both the manufacturer and the regulatory authorities in the value of this technique.

Well resolved, information rich spectra. The sharp features of the Raman spectra enable individual constituents in complex mixtures to be identified. Characteristic features of the chemical species of interest can often be identified in isolation from interfering features from other materials allowing simultaneous monitoring of a large number of chemical species and the use of simple, robust univariate prediction models. This is illustrated in Figure 1(a) where a simple model was generated to determine the relative concentrations of two solvents in a mixture. The Raman bands at 840 cm-1 and 882 cm-1 are characteristic of solvent A and solvent B respectively, and are sufficiently well resolved to be used without the need for multivariate analysis. The intensity of the Raman bands is expected to be linearly proportional to the concentration of the scattering species and this was found to be the case (Figure 1(b)).


Figure 1: An example of the use of Raman spectroscopy to determine the component concentrations in a binary solvent mixture.
Additionally, the large amount of chemical information present in a typical Raman spectrum can contribute to a fuller understanding of the process at a molecular level.


Figure 2: Comparison of (a) IR absorption and (b) Raman spectra for an aqueous suspension/solution of an API.
Aqueous samples, slurries, solids, liquids and gases. Water has a very strong absorption in NIR and mid-infrared spectroscopy, which often totally obscures the signal from the materials of interest in aqueous environments. The Raman spectrum of water is, however, very weak and generally does not interfere with the spectra of the materials in solution — this is one of Raman spectroscopy's key advantages when compared with infrared (IR) absorption methods. This is illustrated in Figure 2 where an IR absorption spectrum and a Raman spectrum from an aqueous suspension/solution of an active pharmaceutical ingredient (API) are compared.


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