浙江农业学报

• 食品科学 • 上一篇    下一篇

近红外漫反射技术对货架期樱桃品质的判别

  

  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)
  • 出版日期:2015-08-25 发布日期:2015-08-21

Qualitative discrimination of fruit quality of cherry during storage period by near infrared spectroscopy#br#

  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)
  • Online:2015-08-25 Published:2015-08-21

摘要: 运用近红外光谱技术(NIRS),经过不同预处理和不同光谱波段条件的处理分析,在全光谱范围4088~2 4928 nm(近红外光谱波长范围780~2 526 nm)内,采用一阶微分结合去离散处理(SNV & D)的方法构建了对樱桃贮藏期果实品质进行定性判别的模型。该模型判别分辨率达997%,预测准确率889%~990%,说明NIRS技术能够很好地对沙蜜豆樱桃品质进行定性判别,从而实现对其内部品质的快速评价。

关键词: 近红外光谱技术, 樱桃, 贮藏期, 预测

Abstract: The near infrared spectroscopy was used in qualitative discrimination of fruit quality of cherry during storage period. The experiment was carried out under different pretreatments and different spectral band conditions, the model of qualitative discrimination was constructed in the spectral range between 4088 nm to 2 4928 nm(near infrared wavelength range 780-2 526 nm), using the first order differential method combined with SNV & D spectral pretreatment method. The identification rate of the model was 997%, and predict accuracy was 889% to 990%, which indicated that near infrared spectroscopy could make good qualitative discrimination on fruit quality of cherry, thereby realizing the rapid evaluation for the fruit internal quality.

Key words: near infrared spectroscopy, cherry, storage period, forecast