Infrared spectral analysis of sugar profiles of worts from varying grist to liquor ratios using infusion and ramping mash styles

26Citations
Citations of this article
44Readers
Mendeley users who have this article in their library.

Abstract

Fermentability is an important trait for the brewing industry. Current industry methods lack the predictive capacity to accurately estimate how well a wort will ferment in the brewhouse. Wort from two mashing styles (high-temperature infusion and low-temperature ramping), and under varying grist to liquor (G:L) ratios, were produced and the differences in maltose, maltotriose and glucose were measured. The two mashing styles showed differences in original extract (Plato) values between the G:L ratios with a 1:2 G:L having the highest original extract. Maltose was the most abundant sugar in all sample types. All worts were scanned using Fourier transform infrared (FTIR) and the spectra also showed differences between the original extract and final extract with most of the changes around the spectral region associated with carbohydrates, a result of sugar utilization by the yeast. FTIR calibrations for extract and fermentable sugars all had r2 values >0.98, with ratio of standard error of prediction to standard deviation >5. The results indicated changing fermentable sugar levels, thus making a prediction of fermentability possible. The FTIR also provided a rapid measure of changes in the fermentable sugar profile, which could assist maltsters and brewers in monitoring malt and beer quality. Copyright © 2016 The Institute of Brewing & Distilling.

Author supplied keywords

Cite

CITATION STYLE

APA

Fox, G. (2016). Infrared spectral analysis of sugar profiles of worts from varying grist to liquor ratios using infusion and ramping mash styles. Journal of the Institute of Brewing, 122(3), 437–445. https://doi.org/10.1002/jib.341

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free