“复杂基质中重组胶原蛋白检测方法”研讨会在京举行

Core Viewpoint - The cosmetics market is entering a scientific skincare era, with technological strength becoming a focal point for consumers. Ingredient innovation driven by new consumer demands is a growing trend. Synthetic biology technology is providing new directions for raw material innovation, particularly in recombinant collagen, where consumers prioritize both efficacy and safety [1][7]. Group 1: Industry Trends and Developments - The demand for effective and safe products has led to an increased focus on ingredient testing as a crucial quality control measure. However, there is currently no unified national standard for testing recombinant collagen, prompting discussions on how to scientifically and accurately conduct authoritative testing [1][5]. - A seminar on "Detection Methods for Recombinant Collagen in Complex Matrices" was held, featuring experts from various institutions who discussed the challenges of separation and purification, the development of high-sensitivity detection methods, and the establishment of standardized testing systems [2][3]. Group 2: Technical Challenges and Methodologies - The detection of recombinant collagen in cosmetics is more complex than in medical devices or biological samples due to the presence of various interfering components such as plant extracts, proteins, polysaccharides, and surfactants. This complexity can weaken collagen signals and complicate quantitative detection [4][6]. - Current standardized detection methods primarily target pure protein samples, and their application to complex matrices requires careful consideration of matrix effects and the development of sample pre-treatment methods [6][7]. Group 3: Future Directions and Standardization Efforts - There is a lack of unified detection standards for recombinant collagen in cosmetics, despite existing standards in pharmaceuticals and agriculture. The complexity of the matrices involved makes it challenging to establish a standardized detection method [7][8]. - Experts suggest that before a national standard is established, existing standards can be referenced for testing, and methodological validation for complex matrix handling should be conducted [7][8].