您好，欢迎访问中国热带农业科学院 机构知识库！
中国热带农业科学院机构知识库

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

Non-destructive prediction of anthocyanin concentration in whole eggplant peel using hyperspectral imaging

文献类型： 外文期刊

作者： Ma, Zhiling 1 ; Wei, Changbin 1 ; Wang, Wenhui 1 ; Lin, Wenqiu 1 ; Nie, Heng 1 ; Duan, Zhe 1 ; Liu, Ke 1 ; Xiao, Xi Ou 1 ;

作者机构： 1.Chinese Acad Trop Agr Sci, South Subtrop Crop Res Inst, Key Lab Postharvest Physiol & Technol Trop Hort Pr, Key Lab Trop Fruit Biol,Minist Agr & Rural Affairs, Zhanjiang, Guangdong, Peoples R China

2.Yunnan Agr Univ, Puer, Yunnan, Peoples R China

3.South China Agr Univ, Guangzhou, Guangdong, Peoples R China

关键词： Anthocyanin content; Eggplant; Hyperspectral imaging; LS-SVM model; NOR precrocess

期刊名称：PEERJ （ 影响因子：2.7； 五年影响因子：3.1 ）

ISSN： 2167-8359

年卷期： 2024 年 12 卷

页码：

收录情况： SCI

摘要： Accurately detecting the anthocyanin content in eggplant peel is essential for effective eggplant breeding. The present study aims to present a method that combines hyperspectral imaging with advanced computational analysis to rapidly, non-destructively, and precisely measure anthocyanin content in eggplant fruit. For this purpose, hyperspectral images of the fruits of 20 varieties with diverse colors were collected, and the content of the anthocyanin were detected using high performance liquid chromatography (HPLC) methods. In order to minimize background noise in the hyperspectral images, five preprocessing algorithms were utilized on average reflectance spectra: standard normalized variate (SNV), autoscales (AUT), normalization (NOR), Savitzky-Golay convolutional smoothing (SG), and mean centering (MC). Additionally, the competitive adaptive reweighted sampling (CARS) method was employed to reduce the dimensionality of the high -dimensional hyperspectral data. In order to predict the cyanidin, petunidin, delphinidin, and total anthocyanin content of eggplant fruit, two models were constructed: partial least squares regression (PLSR) and least squares support vector machine (LS-SVM). The HPLC results showed that eggplant peel primarily contains three types of anthocyanins. Furthermore, there were significant differences in the average reflectance rates between 400-750 nm wavelength ranges for different colors of eggplant peel. The prediction model results indicated that the model based on NOR CARS LS-SVM achieved the best performance, with a squared coefficient of determination (R 2 ) greater than 0.98, RMSEP and RMSEC less than 0.03 for cyanidin, petunidin, delphinidin, and total anthocyanin predication. These results suggest that hyperspectral imaging is a rapid and non-destructive technique for assessing the anthocyanin content of eggplant peel. This approach holds promise for facilitating the more effective eggplant breeding.

  • 相关文献
作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：中国热带农业科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台