化妆品“唯成分论”乱象 检测屡陷“罗生门”

Core Viewpoint - The ongoing disputes regarding cosmetic ingredient content reflect a marketing battle driven by single-ingredient concept marketing [5] Group 1: Disputes and Detection Challenges - Recent controversies have arisen over the ingredient content in cosmetics, with brands like Han Shu and Ke Fu Mei facing scrutiny in 2025 due to differing detection results from various institutions [2] - The complexity of cosmetic formulations leads to varying detection results, influenced by the matrix of ingredients and the methods used for testing [6] - The lack of standardized testing methods contributes to discrepancies in results, with some institutions using inappropriate methods that amplify result deviations [6] Group 2: Consumer Trust and Understanding - Consumers are left confused by conflicting information, raising questions about the precision of ingredient content detection and the significance of small variations in ingredient amounts [3][11] - The rise of ingredient-conscious consumers has prompted brands to disclose more product information, making detection results a key factor in assessing product value [12][13] Group 3: Scientific and Regulatory Insights - The detection of active ingredients like peptides and proteins faces challenges due to their low concentrations and susceptibility to degradation during testing [7] - Current effective detection technologies, such as LC-MS/MS, provide high sensitivity and specificity, enabling accurate measurement of active ingredients [9] - The establishment of credible group standards requires a diverse range of stakeholders, including hospitals, research institutions, and regulatory bodies, to ensure transparency and inclusivity [16] Group 4: Recommendations for Industry Development - The industry should shift towards a foundation of skin science and evidence-based medicine, moving away from a focus solely on ingredient content [17] - Collaboration among regulatory bodies, research institutions, and companies is essential to integrate evidence-based logic into industry standards and practices [17]