基于可见-近红外光谱技术的果蔬品质检测方法

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 the mainstream rapid non-destructive testing technology for internal and external quality of fruits and vegetables. Electromagnetic waves in the wavelength range of 380-2500 nm are used to obtain the characteristics of hydrogen-containing groups of organic molecules in fruits and vegetables. Based on the 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. This study reviews the latest detection models, variable screening models, and their detection accuracy used in the quantitative analysis and qualitative defect analysis of fruit and vegetable nutrient content based on absorbance spectrum and energy spectrum, providing technical support for relevant scientists to select efficient and accurate detection models.