Food and Fermentation Industries

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

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.

Cite this article

ZHOU Qing-mei , GUO Li-yun , LIN Zhi-ping . Detection of β-glucan in malt by near infrared spectroscopy[J]. Food and Fermentation Industries, 2013 , 39(10) : 223 -226 . DOI: 10.13995/j.cnki.11-1802/ts.2013.10.007

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