Mathematical Model for Assessing Wort Filtration Performance Based on Granularity Analysis

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Mathematical Model for Assessing Wort Filtration Performance Based on Granularity Analysis

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Mathematical Model for Assessing Wort Filtration Performance Based on Granularity Analysis

Popis výsledku anglicky

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

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

EI - Biotechnologie a bionika

OECD FORD obor

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Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název periodika

Journal of the American Society of Brewing Chemists

ISSN

0361-0470

e-ISSN

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Svazek periodika

74

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

9

Strana od-do

191-199

Kód UT WoS článku

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EID výsledku v databázi Scopus

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