• 基础研究 •

草莓的光学特性及其与可溶性固形物含量和含水率的关系

1. （1.西北农林科技大学机械与电子工程学院，陕西 杨凌 712100；2.农业农村部农业物联网重点实验室，陕西 杨凌 712100；3.陕西省农业信息感知与智能服务重点实验室，陕西 杨凌 712100；4.东北林业大学机电工程学院，黑龙江 哈尔滨 150040）
• 发布日期:2021-01-18
• 基金资助:
国家自然科学基金面上项目（31772065）

Optical Properties of Strawberry Fruit and Their Relationship with Soluble Solids Content and Moisture Content

XIE Dandan, GUO Wenchuan, GAO Mengjie, LIU Dayang

1. (1. College of Mechanical and Electronic Engineering, Northwest A & F University, Yangling 712100, China; 2. Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture and Rural Affairs, Yangling 712100, China; 3. Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service, Yangling 712100, China; 4. College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China)
• Published:2021-01-18

Abstract: To understand the optical properties of fruits and their relationships with soluble solids content (SSC) and moisture content, a single integrating sphere system for the measurement of optical properties was established and validated. Furthermore, the absorption coefficient μa and reduced scattering coefficient μ’s of the fruit of the strawberry cultivars ‘Hongyan’, ‘Tianxiang’ and ‘Zhangji’, were measured over the wavelength range of 950–1 650 nm. The relationships of optical properties with SSC and moisture content were analyzed, and partial least squares models to predict SSC and moisture content based on optical properties were established. The results showed that the average relative errors of the system for μa and μ’s were 8.23% and 3.71%, respectively. Over the investigated wavelength range, μa had peaks at 975, 1 197 nm and 1 411 nm, and μ’s generally decreased with increasing wavelength. μa had negative correlation with SSC but positive correlation with moisture content. Moreover, extreme correlation coefficients were observed at the absorption peaks. The models established based on the spectra of μa had the best capability in predicting SSC (rp = 0.815, root mean squares error of prediction (RMSEP) = 1.153%) and moisture content (rp = 0.757, RMSEP = 1.280%), indicating that SSC and moisture content mainly affected the optical absorption property of strawberry fruit, which allowed good prediction of the internal quality of strawberry fruit.