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基于可见-近红外光谱技术的果蔬品质检测方法

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可见-近红外光谱技术利用波长在 380~2 500 nm的电磁波获取果蔬中有机分子含氢基团的特征信息,根据样品对不同波长光的吸收信息,实现果蔬的外部、内部缺陷及营养成分定性、定量分析,是目前主流的果蔬内外部品质快速无损检测技术.综述了目前基于吸光度谱和能量谱对果蔬营养物质含量定量分析及缺陷定性分析,所使用的检测模型和变量筛选模型及其检测准确性,为相关研究人员选择高效准确的检测模型提供技术支撑.
Detection Method of Fruit and Vegetable Quality Based on VIS-NIR Spectroscopy
Visible near-infrared(VIS-NIR)spectroscopy technology is currently mainstream rapid non-destructive testing technology for internal and external quality of fruits and vegetables.Electromagnetic waves in wavelength range of 380 to 2 500 nm are used to ob-tain characteristics of hydrogen-containing groups of organic molecules in fruits and vegetables.Based on absorption information of samples to different wavelengths of light,qualitative and quantitative analysis of external and internal defects and nutrient contents of fruits and vegetables are achieved.Latest detection models,variable screening models,and their detection accuracy used in quantitat-ive analysis and qualitative defect analysis of fruit and vegetable nutrient content based on absorbance spectrum and energy spectrum were reviewed,providing technical support for relevant scientists to select efficient and accurate detection models.

VIS-NIR spectroscopyquality detection of fruits and vegetablesenergy spectrumabsorbance spectrumvariable optimization

韩亚芬、吴尘萱、吴海华、吕程序、何亚凯、杨葆华、苑严伟

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中国农业机械化科学研究院集团有限公司,北京 100083

农业装备技术全国重点实验室,北京 100083

中国包装和食品机械有限公司,北京 100083

可见-近红外光谱 果蔬品质检测 能量谱 吸光度谱 变量优化

国家重点研发计划北京市科协青年人才托举工程项目

2022YFD2002205BYESS2023431

2024

农业工程
北京卓众出版有限公司

农业工程

CSTPCD
影响因子:0.422
ISSN:2095-1795
年,卷(期):2024.14(1)
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