基于高光谱和电子鼻检测水果采后真菌病害的信息基础和机理研究

真菌侵染是造成水果采后腐败的重要原因，对水果采后质量安全造成严重危害。因此，对水果采后真菌病害的快速无损检测和监测显得十分重要。项目以采后易腐水果桃和草莓为主要研究对象，通过分析水果采后真菌病害造成的果实品质、微生物指标、挥发物以及高光谱图像特性、电子鼻响应等信息的变化和差异，在确定果实真菌病害和腐败程度的表征性参数和范围后，探明反映果实真菌病害的表征性参数信息，对应的高光谱图像和电子鼻响应，确定高光谱图像和电子鼻检测病害的特征参数，并进一步对高光谱图像和电子鼻信息进行数据层和特征层融合，探索和构建高光谱图像和电子鼻检测水果采后真菌病害和致病真菌类型的较佳判别模型，明确高光谱图像和电子鼻对水果采后真菌病害检测的机理，建立易腐水果贮运中真菌病害的监测、预测模型。研究可为水果采后病害自动化检测技术和设备开发提供基础数据和理论参考，也为易腐水果采后贮藏和流通提供基于信息融合无损检测的基础。

Fungal diseases are one of the main reasons causing fruit decay which may lead to damage of fruit quality and safety during postharvest, and it is very important and necessary to detect and monitor fruit fungal diseases nondestructively. Peach and strawberry are two fruits which are easy to become decay during post-harvest storage and transportation, and the aims of this research are to detect fruit quality and safety based on changes of fruit texture, microorganisms, flavor parameters by measurement of hyperspectral imaging and electronic nose. From the information measured by hyperspectral imaging and electronic nose, the relationship between hyperspectral imaging and electronic nose and those nondestructive determined parameters can be established. Different fungal diseases and quality decay can be nondestructively detected by analyzing the results and possible detecting mechanism will be explored. Further data analysis of the two nondestructive measurements can combine the information of image and flavor parameters, and can enable us to establish detection models for fungal diseases and possible fungal identification by hyperspectral imaging and electronic nose. Information and mechanism of fruit decay caused by fungal diseases can be form the base for predicating fruit quality and safety based on above mentioned two nondestructive testing methods. The results from this research can be applied to develop equipment for testing and monitoring fruit quality and safety during postharvest storage and transportation of peach and strawberry fruits. It can also provide useful information for fruit fungal diseases detection and monitoring of decay sensitive fruits in postharvest storage and transportation.