食品与机械2024，Vol.40Issue(6)：124-129,6.DOI:10.13652/j.spjx.1003.5788.2023.80681
光照区域对近红外光谱在线检测柚子糖度的影响
Research on influence of light region on near infrared spectroscopy for online detection of sugar content of grapefruit
摘要
Abstract
[Objective J 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-lst 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.关键词
近红外光谱/光照区域/在线检测/糖度/柚子Key words
near infrared spectroscopy/light region/online detection/sugar content/grapefruit引用本文复制引用
唐子叶,文韬,代兴勇,胡峰..光照区域对近红外光谱在线检测柚子糖度的影响[J].食品与机械,2024,40(6):124-129,6.基金项目
湖南自然科学基金杰出青年基金项目(编号:2023JJ10099) （编号:2023JJ10099）
