食品与发酵工业

近红外光谱法测定麦芽中的β-葡聚糖

  • 周青梅 ,
  • 郭立芸 ,
  • 林智平
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网络出版日期: 2013-10-25

Detection of β-glucan in malt by near infrared spectroscopy

  • ZHOU Qing-mei ,
  • GUO Li-yun ,
  • LIN Zhi-ping
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Online published: 2013-10-25

摘要

利用偏最小二乘法建立了近红外定量分析麦芽中β-葡聚糖含量的数学模型,内部交叉验证预测值的相关系数为0.8275,相应标准差为0.06。60个麦芽样品的化学测定值与近红外预测值之间的R2达到0.827,说明建立的近红外模型能预测麦芽的β-葡聚糖含量,有利于在生产过程中对麦芽β-葡聚糖进行分级控制。

本文引用格式

周青梅 , 郭立芸 , 林智平 . 近红外光谱法测定麦芽中的β-葡聚糖[J]. 食品与发酵工业, 2013 , 39(10) : 223 -226 . DOI: 10.13995/j.cnki.11-1802/ts.2013.10.007

Abstract

It was established that the mathematical model of NIR for quantitative analysis of β-glucan in malt by partial least squares. The correlation coefficient of internal cross-validation and predictive value was 0. 8275. Corresponding standard error of calibration was 0. 06. The coefficient of determination between chemical determination and NIR predict reached 0. 827 with 60 malt samples. It was concluded that the β-glucan content in malt could be predicted accurately by NIR model. It could be used in the production for controlling the malt β-glucan content.
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