| 农畜产品品质安全高光谱无损检测技术进展和趋势 |
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| 引用本文： | 彭彦昆,张雷蕾.农畜产品品质安全高光谱无损检测技术进展和趋势[J].农业机械学报,2013,44(4):137-145. |
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| 作者姓名： | 彭彦昆 张雷蕾 |
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| 作者单位： | 中国农业大学工学院,北京,100083 |
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| 基金项目： | “十二五”国家科技支撑计划资助项目（2012BAH04B00）和公益性行业（农业）科研专项经费资助项目（201003008） |
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| 摘 要： | 高光谱成像技术作为光学无损检测的一种新技术在农畜产品品质安全检测中被广泛关注和应用.综述了高光谱无损检测技术的研发现状.在果蔬品质安全检测上,高光谱成像技术可用于组成分分析、食用指标测定、质量分级评定等内部品质检测和外部形态特征识别、表面缺陷及污染物检测、冻伤检验等外部品质判定,以及农药残留、致病菌污染等安全评定.在生鲜肉检测应用方面,包括营养品质的组成成分分析、食用品质如嫩度、大理石花纹、新鲜度等指标评价以及生鲜肉在微生物污染等安全品质的评定.分析了高光谱无损检测技术的现状及问题,并针对目前农畜产品无损检测的发展趋势进行前景展望.
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| 关 键 词： | 农畜产品 品质安全 高光谱成像技术 无损检测 |
Advancement and Trend of Hyperspectral Imaging Technique for Nondestructive Detection of Agro-product Quality and Safety |
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| Peng Yankun and Zhang Leilei.Advancement and Trend of Hyperspectral Imaging Technique for Nondestructive Detection of Agro-product Quality and Safety[J].Transactions of the Chinese Society of Agricultural Machinery,2013,44(4):137-145. |
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| Authors: | Peng Yankun and Zhang Leilei |
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| Institution: | China Agricultural University;China Agricultural University |
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| Abstract: | As one of the most important optical nondestructive detection technologies, hyperspectral imaging technology was widely used for assessing for agro-product quality and safety. At first, the advancement on hyperspectral imaging technology of agricultural and livestock products quality and safety was reviewed. The research and application of this technology in fruits and vegetables are wide, including internal quality detection, such as nutritional component analysis, eating quality evaluation and real time online quality classification; external quality detection that consists characteristics identification, surface defect and chilling injury inspection; and detection of pesticides residue. In respect of fresh meet quality and safety detection, the hyperspectral imaging technology was investigated to develop application technologies and inspection equipments, including real-time analysis of nutritional components, online evaluation of meat eating quality parameters such as tenderness, marbling and freshness, and rapid evaluation of meat safety attributes such as microbial contamination and bacteria total viable count. Finally, the status and issues of hyperspectral technology were analyzed. Its development trend prospects was presented in the nondestructive detection of agricultural and livestock products. |
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