香蕉采后炭疽菌侵染过程的多尺度显微高光谱成像表征研究

芭蕉炭疽菌侵染是香蕉采后炭疽病爆发的罪魁祸首。掌握炭疽菌侵染过程的时空分布规律，有利于采取有针对性的防控措施。本项目围绕高光谱成像技术在细胞层级感知香蕉采后病原菌侵染过程局限的问题，拟在实验验证的基础上，将其拓展到微观尺度，综合应用高光谱和显微高光谱成像技术，揭示炭疽菌侵染与蕉果组织响应的图谱识别机制。从蕉果组织的光学特性参数测量与蒙特卡罗多层模拟入手，揭示光与蕉果组织的相互作用，确定较优的敏感波段；基于健康与染病焦果组织多种尺度下的时间序列光谱图像，通过纯净像元提取、特异信息筛选和图谱交互分析等方法，辅之理化检验、电镜扫描和荧光标记等手段，提取宏观尺度下蕉果主要营养物质、外观表现和微观尺度下菌丝生长、蕉果组织结构等关键动态参量的指纹图谱，通过化学计量学方法建立相应参量的检测及可视化表征模型。本项目的研究将为香蕉采后炭疽病的防控决策提供支撑，也为其他水果病害的光学检测理论和方法提供借鉴。

The infection of Colletotrichum msuae (C. msuae) is the main cause of banana anthracnose. Mastering the temporal and spatial distribution of C. msuae infection is conducive to take targeted prevention and control measures. Focusing on the limitation of hyperspectral imaging technology (HSI) in sensing process of fungi infecting postharvest banana at the cell level, this project intends to expand the HSI technology to the micro scale on the basis of experimental verification, and use both HSI and hyperspectral microscope imaging (HMI) technologies to reveal pattern recognition of C. msuae infection and fruit tissue response. The interaction between light and fruit tissue, and the optimal sensitive bands will be first determined based on the measurement of optical properties of fruit tissue and Monte Carlo simulation. On the basis of time series spectral images of healthy and diseased fruit tissue at macros/micro scale, the fingerprints of key dynamic parameters such as the main components and appearance of banana at macro scale as well as the mycelium and fruit tissue structure at micro scale will be extracted by means of pure pixel extraction, specific information screening and spectrum interaction analysis et al. Other methods such as physical and chemical examination, electron microscope scanning and fluorescence labeling will be also utilized for supplement. The corresponding dynamic parameters will be visualized by modeling based on chemometrics. The study of this project will provide support for prevention and control of banana anthracnose, and also provide reference for the optical detection theory and method of other fruit diseases.