Mathematical Model for Assessing Wort Filtration Performance Based on Granularity Analysis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22330%2F16%3A43901692" target="_blank" >RIV/60461373:22330/16:43901692 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1094/ASBCJ-2016-3706-01" target="_blank" >http://dx.doi.org/10.1094/ASBCJ-2016-3706-01</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1094/ASBCJ-2016-3706-01" target="_blank" >10.1094/ASBCJ-2016-3706-01</a>

Result language

angličtina

Original language name

Mathematical Model for Assessing Wort Filtration Performance Based on Granularity Analysis

Original language description

A laboratory filtration system equipped with a 0.80 ?m nitrocellulose membrane for wort filtration and a 0.45 ?m mixed cellulose ester microporous membrane for beer filtration was used for this study. The critical granularity distributions of wort and beer before and after filtration were determined by the Beckman Coulter Multisizer 3 counter and particle size analyzer. Using Matlab 7.0 software, a mathematical model of the wort filtration performance and granularity relationship was established, which is applicable for predicting and improving the wort filtration performance. The granularity distribution and percentages of particle numbers and volumes of the wort before and after filtration had great impact on the wort filtration performance. The percentages of particle numbers and particle volumes were used to characterize the wort filtration performance based on a mathematical model. The correlation between real and predicted wort filtration performance values was very close. R2, the relative error of real value and prediction value on wort filtration performance, was defined as (predicted value - real value)/real value. When we used the particle number percentage, a relative variation R2 was between 1.67 and 3.01%. When we used the particle volume percentage, the relative variation R2 was between 2.89 and 3.87%. Keywords: Wort filtration performance, Granularity distributions, Matlab 7.0, Mathematical model, Wort filtration, Particle number percentage

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

EI - Biotechnology and bionics

OECD FORD branch

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Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of the American Society of Brewing Chemists

ISSN

0361-0470

e-ISSN

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Volume of the periodical

74

Issue of the periodical within the volume

3

Country of publishing house

US - UNITED STATES

Number of pages

9

Pages from-to

191-199

UT code for WoS article

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EID of the result in the Scopus database

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