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中国精品科技期刊2020
杨红欣,唐兴萍,杨正明,等. 多光谱技术在食品无损检测中的应用进展[J]. 食品工业科技,2024,45(8):350−357. doi: 10.13386/j.issn1002-0306.2023040152.
引用本文: 杨红欣,唐兴萍,杨正明,等. 多光谱技术在食品无损检测中的应用进展[J]. 食品工业科技,2024,45(8):350−357. doi: 10.13386/j.issn1002-0306.2023040152.
YANG Hongxin, TANG Xingping, YANG Zhengming, et al. Application Research and Prospects of Multispectral Technology in Non-destructive Testing of Food[J]. Science and Technology of Food Industry, 2024, 45(8): 350−357. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2023040152.
Citation: YANG Hongxin, TANG Xingping, YANG Zhengming, et al. Application Research and Prospects of Multispectral Technology in Non-destructive Testing of Food[J]. Science and Technology of Food Industry, 2024, 45(8): 350−357. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2023040152.

多光谱技术在食品无损检测中的应用进展

Application Research and Prospects of Multispectral Technology in Non-destructive Testing of Food

  • 摘要: 食品检测技术在确保食品安全方面发挥着至关重要的作用,传统的食品检测方法具有一定的破坏性且费时、低效、操作繁琐和不客观,因此探究无损、快速、高效的检测技术,对保障食品安全和质量评估具有十分重要的意义。多光谱成像(Multispectral Imaging,MSI)技术是一种新兴的无损检测技术,具有快速、无损、客观等特点,为食品领域快速、无损检测提供了新的方法和手段。论文介绍了MSI成像技术的原理、优缺点以及多光谱成像技术的数据分析方法,对国内外多光谱技术在水果的品质评估、蔬菜分级、肉制品掺假和水产品的腐败变质检测等领域应用研究进展进行了综述,最后对多光谱技术在未来食品的内部品质和外部品质无损检测中的发展进行总结展望。

     

    Abstract: Food safety hinges on effective detection technology. Traditional methods, while somewhat destructive, also prove time-consuming, inefficient, cumbersome, and subjective. Hence, it is of great significance to explore non-destructive, swift and efficient detection technology for ensuring food safety and quality assessment. Multispectral imaging (MSI), an emerging non-destructive detection technology, features rapidity, non-destructiveness, and objectivity. It introduces a new method for expeditious and non-destructive detection in the food industry. This paper introduces the principles, advantages and disadvantages, and data analysis method of MSI technology and conducts a review of related research on the application of MSI technology at home and abroad in the fields of fruit quality assessment, vegetable grading, meat adulteration and aquatic product spoilage detection. In the end, the paper makes a summary and future outlook on the development of MSI technology in the non-destructive detection of internal and external food quality.

     

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