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基于灰色关联度和Vis-NIR的不同贮藏方式下番茄光谱特性分析

宋海燕 王世芳 谌英敏 苏勤

山西农业大学学报(自然科学版)2019,Vol.39Issue(2):75-78,4.
山西农业大学学报(自然科学版)2019,Vol.39Issue(2):75-78,4.DOI:10.13842/j.cnki.issn1671-8151.201811033

基于灰色关联度和Vis-NIR的不同贮藏方式下番茄光谱特性分析

Analysis of spectral characteristics of tomatoes in different storage methods with grey relational analysis and visible-near infrared spectroscopy

宋海燕 1王世芳 2谌英敏 1苏勤1

作者信息

  • 1. 山西农业大学 工学院,山西 太谷 030801
  • 2. 北京农业质量标准与检测技术研究中心,北京 100097
  • 折叠

摘要

Abstract

[Objective]The purpose of the study was to determine the main contribution factors which affected tomato qualities under different storage conditions.[Methods]Spectral characteristics of tomatoes were analyzed using visible and near infrared spectroscopy.Principal component analysis and grey relational analysis were introduced to distinguish tomatoes under different storage conditions and to determine the main contributors of the spectral characteristics.[Re-sults]The results showed the different spectral characteristics of tomatoes under different storage conditions.Three sensitive bands at 1 927,1401,and 1222 nm with accumulated contribution rate of 98.92% were obtained by principal component analysis,and could be used to distinguish tomatoes under different storage conditions.Titratable acid dis-played the maximum correlation with both 1 927 and 1222 nm absorbance value,while soluble solids showed the maxi-mum correlation with 1401 nm absorbance value.[Conclusion]The study results indicated that titratable acid and solu-ble solids were the main indicators that affect tomato qualities under different storage conditions.This study provided a basis for further research on rapid detection of tomato quality using spectral technology.

关键词

Vis-NIR/灰色关联度/主成分分析/番茄/贮藏方式

Key words

Visible-near infrared spectra/Grey relational analysis/Principal component analysis/Tomato /Storage method

分类

化学化工

引用本文复制引用

宋海燕,王世芳,谌英敏,苏勤..基于灰色关联度和Vis-NIR的不同贮藏方式下番茄光谱特性分析[J].山西农业大学学报(自然科学版),2019,39(2):75-78,4.

基金项目

国家自然科学基金(31671571) (31671571)

山西农业大学青年科技创新基金(2017013) (2017013)

山西农业大学学报(自然科学版)

OA北大核心CSTPCD

1671-8151

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