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 provides new directions for raw material innovation, particularly in the context of recombinant collagen, where consumers prioritize both efficacy and safety [1][8]. Group 1: Detection Methods and Challenges - The detection of recombinant collagen in complex matrices is more complicated than in medical dressings and biological samples due to the presence of various interfering components in cosmetics, such as plant extracts, proteins, polysaccharides, lipids, surfactants, and pigments [5][7]. - Current standardized detection methods primarily target pure protein samples, necessitating research and validation of sample pretreatment methods to account for matrix effects when applied to complex matrices [7][9]. - Various detection methods exist, including Kjeldahl nitrogen method, biuret method, Coomassie brilliant blue method, Folin phenol method, BCA method, and characteristic peptide method. Each method has its own characteristics and applicable scenarios, emphasizing the need for method validation based on different matrices [5][9]. Group 2: Standardization and Industry Development - There is currently no unified national standard for the detection of recombinant collagen in cosmetics, despite multiple standards established in the pharmaceutical and agricultural sectors [9]. - The complexity of establishing a standard for recombinant collagen detection arises from factors such as product dosage form, matrix type, matrix composition, potential reactants, and the stability of detection targets [9]. - Before a national standard is established, existing standards like YY/T 1849-2022 and YY/T 1947-2025 can be referenced for method validation in complex matrices [9].