番茄红素是具有重要生理活性的高度不饱和的天然色素，在食品供应链中极易发生氧化降解从而影响到其生物学活性。目前对番茄红素稳定性的研究集中在食品加工或贮藏中单因素的影响，对多因素综合作用、降解产物种类、降解模型、降解机制、降解产物与其生物活性的关系鲜有报道。本项目在确定影响番茄红素降解关键因素基础上，分析番茄红素在不同降解途径下的降解产物，建立相应降解模型对番茄红素进行降解产物预测及在线监测，并以食品供应链模拟体系为依托，阐明番茄红素在食品供应链中的降解机制；同时运用量子化学及分子力学相关知识，以定量构效关系(QSAR)法为核心，构建番茄红素抗氧化活性及细胞间隙连接通讯功能的线性QSAR模型及神经网络QSAR模型，评价并预测番茄红素分子结构与生物活性的构效关系，从分子水平探讨番茄红素及降解产物活性机理。研究结果为建立番茄红素分子结构与生物活性的关系提供理论支撑。

The degradation of lycopene in food supply chain could have serious effects on the antioxidative activity and biological activity. The present reports studied on the degradation mechanisms of lycopene at simply level, and the relationship between degradation substances and bioactivities of lycopene remains unclear. Based on discovering the key factors of degradation, we analyze the degradation substances resulting from different degrading pathways of lycopene. The matching models will be built to predict and on-line monitor the degrading process of lycopene. Relying on the comprehensive model systems, the project wants to explain the degradation mechanisms of lycopene in food supply chain systematically. At the same time, we temporary use the related knowledge of quantum chemistry and molecular mechanics in this study. With the core of quantitative structure-activity relationship method, the project hopes to set up different linear models and neural network models of quantitative structure-activity relationship (QSAR) for antioxidative activities and gap junctional intercellular communication functions. In this project, the quantitative structure-activity relationship between molecular structure and bioactivity of lycopene will be further researched and forecasted, the bioactivity of lycopene and its degradation products will be thorough discussed on molecular level. The results of this study will be favorable for developing lycopene industry, and will set a basis for bioactive mechanism of lycopene theoretically.