Relationships among Mixolab rheological properties of isolated starch and white flour and quality of baking products using different wheat cultivars
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22330%2F19%3A43920035" target="_blank" >RIV/60461373:22330/19:43920035 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00027006:_____/19:00005624
Výsledek na webu
<a href="https://www.sciencedirect.com/science/article/abs/pii/S0733521019303005?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/abs/pii/S0733521019303005?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jcs.2019.102801" target="_blank" >10.1016/j.jcs.2019.102801</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Relationships among Mixolab rheological properties of isolated starch and white flour and quality of baking products using different wheat cultivars
Popis výsledku v původním jazyce
This paper is concerned with rheological properties of native starches isolated from six cultivars of Triticum aestivum L. and from two hulled wheat species belonging to taxon T. dicoccum Schrank and from Triticum spelta L. These results measured using the Mixolab system were compared with those of white flour. The differences identified were caused by protein's elimination and high starch content. Nevertheless, cluster analysis confirmed similar cultivar classification whether based on isolated starch or white flour. Therefore, starch was a significant carrier of typical cultivar rheological properties. Additionally, the contribution of detected starch rheological characteristics for bread-making and predicting cookie quality were analyzed. The cluster analysis was further confirmed by multiple stepwise regression models selecting the best set of flour and starch rheological parameters for testing final bread and cookie quality parameters. All seven calculated regression models included at least one starchy rheological parameter, and their multiple regression coefficients varied in a range from 0.62 to 0.87 for predicting four bread parameters and from 0.62 to 0.80 for predicting three cookie parameters. © 2019
Název v anglickém jazyce
Relationships among Mixolab rheological properties of isolated starch and white flour and quality of baking products using different wheat cultivars
Popis výsledku anglicky
This paper is concerned with rheological properties of native starches isolated from six cultivars of Triticum aestivum L. and from two hulled wheat species belonging to taxon T. dicoccum Schrank and from Triticum spelta L. These results measured using the Mixolab system were compared with those of white flour. The differences identified were caused by protein's elimination and high starch content. Nevertheless, cluster analysis confirmed similar cultivar classification whether based on isolated starch or white flour. Therefore, starch was a significant carrier of typical cultivar rheological properties. Additionally, the contribution of detected starch rheological characteristics for bread-making and predicting cookie quality were analyzed. The cluster analysis was further confirmed by multiple stepwise regression models selecting the best set of flour and starch rheological parameters for testing final bread and cookie quality parameters. All seven calculated regression models included at least one starchy rheological parameter, and their multiple regression coefficients varied in a range from 0.62 to 0.87 for predicting four bread parameters and from 0.62 to 0.80 for predicting three cookie parameters. © 2019
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
21101 - Food and beverages
Návaznosti výsledku
Projekt
<a href="/cs/project/QJ1310219" target="_blank" >QJ1310219: Pšenice se specifickým složením a vlastnostmi škrobu pro potravinářské a průmyslové účely</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Journal of Cereal Science
ISSN
0733-5210
e-ISSN
—
Svazek periodika
89
Číslo periodika v rámci svazku
SEP
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
7
Strana od-do
—
Kód UT WoS článku
000488320600013
EID výsledku v databázi Scopus
2-s2.0-85068570732