A new method for evaluating the penetration ability of near infrared diffuse reflectance light to fruit peel with chemometrics
文献类型： 外文期刊
作者： Dong, Yiqing 1 ; Du, Guorong 3 ; Jiang, Liwen 1 ; Shan, Yang 1 ; Li, Pao 1 ;
作者机构： 1.Hunan Agr Univ, Coll Food Sci & Technol, Changsha 410128, Peoples R China
2.Hunan Acad Agr Sci, Hunan Agr Prod Proc Inst, Changsha 410125, Peoples R China
3.Shanghai Tobacco Grp Co Ltd, Beijing Work Stn, Ctr Technol, Beijing 101121, Peoples R China
4.Shaoguan Univ, Guangdong Prov Key Lab Utilizat & Conservat Food, Shaoguan 512005, Peoples R China
关键词： Penetration ability; Near infrared diffuse reflectance spectroscopy; Integration time; Chemometrics; Citrus
期刊名称：VIBRATIONAL SPECTROSCOPY （ 影响因子：2.5； 五年影响因子：2.5 ）
ISSN： 0924-2031
年卷期： 2023 年 129 卷
页码：
收录情况： SCI
摘要： In this paper, the penetration ability of near infrared (NIR) diffuse reflectance light to peel was studied with grating NIR spectrometer. 15 kinds of fruit, including 3 kinds of thin-peel non-citrus fruit, 9 kinds of medium-peel citrus and 3 kinds of thick-peel citrus were investigated. A new strategy to evaluate the NIR penetration ability was developed with a designed penetration experiment and chemometric methods. The penetration abilities of different integration time, peel thickness and wavelength bands were compared. The results show that NIR light can easily penetrate the peel of thin-peel fruit, while it is not easy to penetrate the peel of citrus due to the thick peel. Both the thickness and composition of the peel have relationship with the penetration ability. Increase of integration time can improve the penetration ability to some extent. However, as the integration time lengthens, noise interference and spectral distortion may appear in long wave near infrared (LWNIR) region. The optimal integration time is 65 ms for citrus. Besides, the penetration ability of short wave near infrared (SWNIR) light is better than that of LWNIR light, and the absorption peaks of peel are mainly located in LWNIR region, indicating that SWNIR is more suitable for fruit internal quality detection.
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