Multivariate analysis service for analyzing the characteristic factors of cosmetics.
We analyze the main components that cause fragrance changes from a complex multitude of information.
Our company uses statistical analysis of data to derive valuable information that connects the analysis results to the characteristics of our products. As a case study (analysis of factors affecting fragrance changes), we heated perfume at 100°C and conducted sensory evaluations of the fragrance, quantitative analysis of organic components (GC-FID), and qualitative analysis (GC-MS) at 13 time points (0, 2, 3, 4, 6, 8, 9, 14, 16, 18, 20, 22, and 24 hours). Through principal component analysis, we were able to analyze the main contributing components to fragrance changes from a complex array of information. [Example of Principal Component Analysis] - A total of 2,548 data points (13 samples × 196 peak quantitative values) were analyzed and represented in two dimensions. - The meaning of the two-dimensional axes (PC1 vs. PC2) was interpreted in relation to the fragrance. - Components influencing axis formation were explored using a contribution rate plot (not included). *For more details, please download the PDF or feel free to contact us.*
- Company:住化分析センター 健康・安全事業部
- Price:Other