葡萄品质无损检测技术的研究进展  

Research Progress on Non-Destructive Detection Technology for Grape Quality

作　　者：孙静涛[1,3] 罗一甲 史学伟 马本学[2] 王文霞[2] 董娟 SUN Jing-tao;LUO Yi-jia;SHI Xue-wei;MA Ben-xue;WANG Wen-xia;DONG Juan(College of Food Science,Shihezi University,Shihezi 832003,China;College of Mechanical and Electrical Engineering,Shihezi University,Shihezi 832003,China;Key Laboratory of Xinjiang Phytomedicine Resource and Utilization,Ministry of Education,Shihezi 832003,China)

机构地区：[1]石河子大学食品学院,新疆石河子832003 [2]石河子大学机械电气工程学院,新疆石河子832003 [3]新疆植物药资源利用教育部重点实验室,新疆石河子832003

出　　处：《光谱学与光谱分析》2020年第9期2713-2720,共8页Spectroscopy and Spectral Analysis

基　　金：国家自然科学基金项目(61763043);国家科技支撑项目(2015BAD19B03);石河子大学高层次人才科研项目(RCSX2018B04)资助。

摘　　要：葡萄营养物质丰富且具有食疗功效,是消费者青睐的水果之一。葡萄在生长、采摘和贮藏过程中易受到损害而品质下降,从而严重影响消费者的购买欲望和葡萄的销售价格,因此检测葡萄品质对于提高葡萄商业价值具有至关重要的作用。传统的检测方法具有破坏样品、耗时耗力、成本高等缺点,而以机器视觉技术、近红外光谱技术和高光谱成像技术为主要检测手段的无损检测方法,因其无损、快速、准确的优势而发展迅速,形成了比较完善的方法体系,目前在葡萄内外部品质检测中得到广泛的应用。综述了利用机器视觉、近红外光谱和高光谱成像技术对葡萄外部品质(果粒大小、表面颜色和果穗尺寸)和内部品质(品种、糖度、可滴定酸、花色苷、总酚、病害和农药残留等)的国内外最新研究进展,总结分析了其在葡萄品质检测中存在的问题,并对葡萄品质无损检测研究方向作了展望,为葡萄品质无损检测技术的发展和相关研究人员的研究工作提供参考。Grape is rich in nutrients and has therapeutic effects, making it one of the most popular fruits for consumers. However, the quality of grape degrades due to their vulnerability in the process of growth, picking and storage, which seriously affects the purchasing desire of consumers and the selling price of grape. Therefore, detecting grape quality is crucial for improving the commercial value of grape. Traditional testing methods have the disadvantages of destroying samples, time-consuming and labor-intensive, high cost. However, non-destructive testing methods, which mainly adopt machine vision technology, near-infrared spectroscopy technology and high spectral imaging technology, have developed rapidly due to their advantages of non-destructive, rapid and accurate, and have formed a relatively perfect method system. At present, non-destructive testing technology is widely used in grape quality testing. The national and international latest researches of using machine vision, near-infrared spectroscopy and hyperspectral imaging technology in the detection of grape, including prediction of external quality(fruit size, surface color and bunch size) and internal quality(varieties, sugar, titratable acid, anthocyanins and total phenols, diseases and pesticide residues, etc.), were summarized. Finally, the existing problems and the prospects were analyzed, which provide a reference for the development of non-destructive testing technology of grape and the work of related scientific researchers.

关 键 词：葡萄 品质 无损检测 研究进展 

分 类 号：S126[农业科学—农业基础科学]