基于近红外光谱对桃果实低温贮藏品质的定量检测
DOI:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

湖南省重点研发计划项目(2020NK2048);长株潭国家自主创新专项(2018XK2006)


Quantitative Detection of the Quality of Peach Fruit during Low Temperature Storage Based on Near Infrared Spectroscopy
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    采用近红外光谱法结合化学计量学方法对桃果实的可溶性固形物(SSC)含量、总酸(TA)含量、糖酸比和硬度等4种品质进行快速检测,研究不同光谱预处理算法对模型的影响,建立偏最小二乘法(PLS)预测模型。建模前,采用方差分析和Pearson相关性分析研究几种指标的关系。桃果实贮藏期的SSC含量、TA含量、糖酸比和硬度最优PLS模型的校正集相关系数分别为0.93,0.69,0.74和0.97;验证集相关系数分别为0.79,0.69,0.68和0.95。交互验证均方根误差(RMSECV)为0.56,0.11,4.24和8.81,预测集均方根误差(RMSEP)为0.89,0.10,6.02和16.22。试验结果表明,近红外光谱对桃果实SSC含量和硬度的快速检测是可行性的,TA含量和糖酸比的预测算法需进一步优化。本研究为实际生产中近红外光谱对桃果实低温贮藏品质无损检测与质量控制提供技术参考。

    Abstract:

    In this study, soluble solids content (SSC), total acid (TA), sugar-acid ratio and firmness of postharvest peach fruits were determined by near infrared spectroscopy. The effects of different spectral pretreatment methods on the models were discussed. Partial least squares (PLS) models of the physical-chemical properties of peach fruit were established and predicted. Before modeling, variance analysis and Pearson correlation analysis were used to study the relationship between several indexes and storage time. For SSC, TA, sugar-acid ratio and firmness, the correlation coefficient of calibration set (Rc) of SSC, TA, sugar-acid ratio and firmness optimal PLS model were 0.93, 0.69, 0.74 and 0.97, respectively, and correlation coefficients of the validation set (Rp) were 0.79, 0.69, 0.68 and 0.95, respectively. The root mean square error of cross validation (RMSECV) were 0.56, 0.11, 4.24 and 8.81, respectively. The root mean square error of prediction (RMSEP) were 0.89, 0.10, 6.02 and 16.22, respectively. The results showed that near infrared spectroscopy was feasible for the rapid detection of SSC and firmness of peach fruit, while the quantitative models of TA and sugar-acid ratio needed to be further optimized. This study provides a technical reference for the non-destructive determining and quality control of juicy peach during low-temperature storage in practical production.

    参考文献
    相似文献
    引证文献
引用本文

张珮;王银红;李高阳;单杨;苏东林;朱向荣.基于近红外光谱对桃果实低温贮藏品质的定量检测[J].中国食品学报,2021,21(5):355-362

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2021-06-07
  • 出版日期:
版权所有 :《中国食品学报》杂志社     京ICP备09084417号-4
地址 :北京市海淀区阜成路北三街8号9层      邮政编码 :100048
电话 :010-65223596 65265375      电子邮箱 :chinaspxb@vip.163.com
技术支持:北京勤云科技发展有限公司

漂浮通知