Zhao Peiming, Zhang Zhiyan, Ran Wei, Bai Ting, Cheng Jie, Zhang Jiamin
Meat Processing Key Laboratory of Sichuan Province, College of Food and Biological Engineering, Chengdu University, Chengdu 610106, China.
Cuisine Science Key Laboratory of Sichuan Province, Sichuan Tourism University, Chengdu 610100, China.
Foods. 2025 Aug 10;14(16):2784. doi: 10.3390/foods14162784.
Proteins serve as crucial functional components in food processing, with their unique physicochemical properties directly influencing the texture and stability of food products. Proteins exhibit a range of functional properties, including emulsification, foaming, gelation, and hydration. These properties arise from the structural differences in protein molecules. To equip proteins with enhanced and diversified biological functions, researchers have developed a variety of protein modification techniques. Recent breakthroughs in artificial intelligence technologies have opened new opportunities for research on protein chemical modifications. Novel algorithms based on advanced techniques, such as deep learning, image recognition, and natural language processing, have been developed for intelligent prediction of protein modification sites. The application of these AI technologies provides innovative research tools and methodological support for rational design and targeted engineering of protein functions. This review delves into the applications of chemical modification methods aimed at improving protein solubility, emulsifying capabilities, gelation capacity, antioxidant activity, antimicrobial properties, and nutritional value. These modifications alter the structural and functional attributes of proteins, significantly enhancing their performance within food systems and expanding their application prospects in such domains as medicine and biomaterials.
蛋白质是食品加工中的关键功能成分,其独特的物理化学性质直接影响食品的质地和稳定性。蛋白质具有一系列功能特性,包括乳化、发泡、凝胶化和水合作用。这些特性源于蛋白质分子的结构差异。为了使蛋白质具有增强和多样化的生物学功能,研究人员开发了多种蛋白质修饰技术。人工智能技术的最新突破为蛋白质化学修饰研究带来了新机遇。基于深度学习、图像识别和自然语言处理等先进技术的新型算法已被开发用于智能预测蛋白质修饰位点。这些人工智能技术的应用为蛋白质功能的合理设计和靶向工程提供了创新的研究工具和方法支持。本综述深入探讨了旨在提高蛋白质溶解度、乳化能力、凝胶化能力、抗氧化活性、抗菌性能和营养价值的化学修饰方法的应用。这些修饰改变了蛋白质的结构和功能属性,显著增强了它们在食品体系中的性能,并拓展了它们在医学和生物材料等领域的应用前景。