木本粮油林果品质的近红外光谱及成像无损检测研究进展

木本粮油林果的品质检测是产业发展的重要支撑,关乎国民健康安全的同时也有利于提升产品的国际竞争力。近红外光谱及高光谱成像检测技术相较于传统检测方法具有快速、无损、安全和便于实现在线检测等特点,在林果品质检测中具有优势。该文综述了近红外光谱和高光谱成像技术的原理,介绍了其在木本粮油林果营养组分预测、成熟度评估、产地溯源与品种鉴别、霉变与缺陷判别等方面的应用,指出了现阶段该领域研究的不足并提供了解决思路,以期为林果品质检测提供参考和借鉴。

Advances on non-destructive quality detection of forest-fruit in the sort of woody grain and oil based on near infrared spectroscopy and hyperspectral imaging technology

The quality detection of the forest-fruit in woody grain and oil is significant support for the development of the industry since it is related to national health and safety. Meanwhile, it is also conducive to enhancing the international competitiveness of products. In contrast to the traditional detection methods, near-infrared spectroscopy and hyperspectral imaging detection technology have the following characteristics. It is high speedy, non-destructive, safe and online detection. This thesis reviewed the principle of near-infrared spectroscopy and hyperspectral imaging technology, introduced its application in many aspects of the forest-fruit(nutrient component prediction, maturity evaluation, origin and variety identification, mold and defect discrimination), and pointed out the inadequacy of the current research as well as provided many solutions. The results are expected to provide some reference and guidance for scholars of related research fields in the quality detection of the forest-fruit.