Research on influence of light region on near infrared spectroscopy for online detection of sugar content of grapefruit

Authors

TANG Ziye, School of Mechanical and Electrical Engineering, Central South University of Forestry and Technology, Changsha, Hunan 410004, China
WEN Tao, School of Mechanical and Electrical Engineering, Central South University of Forestry and Technology, Changsha, Hunan 410004, ChinaFollow
DAI Xingyong, School of Mechanical and Electrical Engineering, Central South University of Forestry and Technology, Changsha, Hunan 410004, China
HU Feng, School of Mechanical and Electrical Engineering, Central South University of Forestry and Technology, Changsha, Hunan 410004, China

Corresponding Author(s)

文韬（1983—），男，中南林业科技大学教授，博士。E-mail: twen@csuft.edu.cn

Abstract

[Objective] To improve the accuracy of online measurement of sugar content of grapefruit by near infrared spectroscopy. [Methods] The pomelo online non-destructive testing equipment developed by ourselves was used to collect diffuse transmission spectrum data of pomelo in three light regions. In the wavelength range of 650~950 nm, orthonormal variable transformation （SNV）, multiple scattering correction （MSC）, Normalize, Savitzky-Golay first order derivative, SG-1st preprocessed the original data, used the adaptive weighting algorithm （CARS） to screen the spectral characteristics of the grapefruit sugar content, and established a partial least squares regression （PLSR） model. 30 grapefruit samples that were not involved in the modeling were used for online verification. [Results] The modeling effect of light region C combined with SNV-CARS-PLSR method was the best. The coefficient of determination of the prediction set was 0.95 and the root-mean-square error was 0.30 °Brix. In online verification, the coefficient of determination was 0.90 and the root mean square error was 0.58 °Brix. The model had a strong ability to detect the sugar content of grapefruit on line. [Conclusion] The prediction model based on the spectral data collected under the condition that the light spot diameter is 70 mm and the light region C is 20 mm above the equator of the grapefruit can realize the online prediction of the sugar content of the grapefruit more effectively.

Publication Date

7-22-2024

First Page

124

Last Page

129

DOI

10.13652/j.spjx.1003.5788.2023.80681

Recommended Citation

Ziye, TANG; Tao, WEN; Xingyong, DAI; and Feng, HU (2024) "Research on influence of light region on near infrared spectroscopy for online detection of sugar content of grapefruit," Food and Machinery: Vol. 40: Iss. 6, Article 17.
DOI: 10.13652/j.spjx.1003.5788.2023.80681
Available at: https://www.ifoodmm.cn/journal/vol40/iss6/17

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