食品科学 ›› 2013, Vol. 34 ›› Issue (22): 185-188.doi: 10.7506/spkx1002-6630-201322037

• 分析检测 • 上一篇    下一篇

近红外光谱对磨盘柿货架期的定性判别

王 丹,鲁晓翔,张 鹏,陈绍慧,李江阔   

  1. 1.天津商业大学生物技术与食品科学学院,天津市食品生物技术重点实验室,天津 300134;
    2.国家农产品保鲜工程技术研究中心,天津市农产品采后生理与贮藏保鲜重点实验室,天津 300384
  • 收稿日期:2013-06-25 修回日期:2013-10-18 出版日期:2013-11-25 发布日期:2013-12-05
  • 通讯作者: 鲁晓翔 E-mail:lxxiang@tjcu.edu.cn
  • 基金资助:

    国家“十二五”科技支撑计划;天津市重点科技攻关项目;天津市农业科学院院长基金项目

Qualitative Identification of Mopan Persimmon Shelf-life by Near Infrared Spectroscopy

WANG Dan,LU Xiao-xiang,ZHANG Peng,CHEN Shao-hui,LI Jiang-kuo   

  1. 1. Tianjin Key Laboratory of Food Biotechnology, College of Biotechnology and Food Science, Tianjin University of Commerce,Tianjin 300134, China;2. Tianjin Key Laboratory of Postharvest Physiology and Storage of Agricultural Products,National Engineering and Technology Research Center for Preservation of Agricultural Products, Tianjin 300384, China
  • Received:2013-06-25 Revised:2013-10-18 Online:2013-11-25 Published:2013-12-05

摘要:

通过近红外漫反射光谱技术对磨盘柿的货架期进行了定性判别,比较不同光谱预处理方法和不同波段,发现在1100~1800nm波段范围内,采用二阶导数结合标准正常化和去散射(SNVD)处理的光谱预处理方法最好。其判别模型的正确率达到95.4%,预测准确率达到93.3%。因此,近红外光谱技术对磨盘柿货架期的检测具有应用价值。

关键词: 近红外光谱, 磨盘柿, 货架期, 判别, 预测

Abstract:

Near-infrared spectroscopy was used for qualitative identification of Mopan persimmon shelf-life. Different
spectral pre-treatment methods and different spectral ranges for the shelf-life of Mopan persimmon were compared. The best
results of spectral pretreatment were obtained by using secondary derivative model combined with standard normal variate
and detrend (SNVD) in the wavelength range of 1100–1800 nm. The percentage of correct classification of samples by using
the developed discriminant model was 95.4% with a forecast accuracy of 93.3%. Therefore, near-infrared spectroscopy is a
useful technique to predict the shelf life of Mopan persimmon.

Key words: near infrared spectroscopy, Mopan persimmon, shelf-life, discrimination, forecast

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