Drug Discovery, Pharmaceuticals & Cannabis Testing
The measured serum exhibited a slight yellow tint in its initial state. Despite the yellow matrix and presence of additional antioxidants, signifi cant colour changes were detected, allowing for a clear observation of degradation at each measurement point (Figure 7). This demonstrated the ability to effectively track vitamin C degradation over time, even in a complex serum matrix.
Figure 9: Monitoring parameters for vitamin C sample variability in production and over a product’s lifetime.
integration, AP Connect enhances effi ciency, compliance, and data integrity across laboratory workfl ows.
Figure 8: Mean value ± standard deviation of OR over time as a result of the L-ascorbic acid degradation in the vitamin C serum (n=3).
Once a target range for the measured parameters is established, the multiparameter measurement system can effectively detect potential degradation. By determining the correlation between the measured quantities and the extent of degradation, the level of degradation can also be monitored.
Summary
The multiparameter measurement system provides an automated and highly precise approach to quality control for multicomponent samples, leveraging interconnected high-precision measurement modules. By analysing samples of known good quality, users can defi ne acceptance ranges for each quality attribute, ensuring consistency and reliability. The selection of modules depends on the specifi c characteristics of the sample being analysed.
The DMA and Abbemat modules are essential for monitoring composition changes, as both density and refractive index (RI) are composition-dependent. The MCP module is specifi cally designed for measuring optically active substances, while a colorimeter is used for colourful compounds or when coloured degradation products may be present. Additionally, the Xsample 530 automates the fi lling and cleaning process, ensuring independent, consistent, and fully automated measurements without manual intervention.
To complement this high-precision measurement setup, AP Connect provides automated data management, ensuring all results are securely stored, easily accessible, and traceable. By eliminating manual transcription and enabling seamless data
Figure 9 summarises the range of key parameters the selected multiparameter measurement system can monitor, enabling the detection of variations during production and throughout the shelf life of vitamin C-containing samples.
References
1. Garre, A., et al. Antiaging effects of a novel facial serum containing L-Ascorbic acid, proteoglycans, and proteoglycan-stimulating tripeptide: ex vivo skin explant studies and in vivo clinical studies in women: Clinical, cosmetic and investigational dermatology, 2018. pp. 253-263
2. Neves, J. R., et al. Effi cacy of a topical serum containing Lāascorbic acid, neohesperidin, pycnogenol, tocopherol, and hyaluronic acid in relation to skin aging signs: Journal of Cosmetic Dermatology, 2022. pp. 4462-4469
3. Boo, Y. C. Ascorbic acid (vitamin C) as a cosmeceutical to increase dermal collagen for skin antiaging purposes: emerging combination therapies: Antioxidants, 2022. p. 1663
4. J. Agric. Degradation of Ascorbic Acid in Aqueous Solution: Food Chem. 1998. pp. 5078–5082
5. ICH Q1A (R2) Stability testing of new drug substances and drug products - Scientifi c guideline (Last updated: 01.08.2003)
6. C63IA012EN-A (Vitamin C)
https://www.anton-paar.com/corp-en/services-support/ document-fi nder/application-reports/quality-control-and-stability-monitoring-of-vitamin-c- containing-cosmetic-serums/
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