Spectroscopic screening of degradation process in edible oils and its mathematical evaluation
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F14%3A43872423" target="_blank" >RIV/70883521:28140/14:43872423 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/70883521:28110/14:43872423
Výsledek na webu
<a href="http://www.naun.org/main/NAUN/ijmmas/2014/a122001-039.pdf" target="_blank" >http://www.naun.org/main/NAUN/ijmmas/2014/a122001-039.pdf</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Spectroscopic screening of degradation process in edible oils and its mathematical evaluation
Popis výsledku v původním jazyce
The purpose of the presented study is to verify applicability of Raman spectroscopy for the thermal degradation screening of edible oils and their identification. The statistical method Principal component analysis was performed for large spectral datasets evaluation as well as Partial least square regression. Raman spectroscopy as an effective tool for material identification offers benefits that are required for the process control of oils quality, both in terms of food technology and in terms of maintaining the nutritional value of edible oils. These are rapidity, independence on the number of chemicals, portability and possibility of automation of measurements ? advantages over the conventional laboratory procedures. For the degradation process themost common types of oils used in the Czech Republic were used: sunflower, olive and canola oils. For the identification fourteen vegetable oils and oils from seeds and nuts were used. Mathematically processed spectral data indicate the
Název v anglickém jazyce
Spectroscopic screening of degradation process in edible oils and its mathematical evaluation
Popis výsledku anglicky
The purpose of the presented study is to verify applicability of Raman spectroscopy for the thermal degradation screening of edible oils and their identification. The statistical method Principal component analysis was performed for large spectral datasets evaluation as well as Partial least square regression. Raman spectroscopy as an effective tool for material identification offers benefits that are required for the process control of oils quality, both in terms of food technology and in terms of maintaining the nutritional value of edible oils. These are rapidity, independence on the number of chemicals, portability and possibility of automation of measurements ? advantages over the conventional laboratory procedures. For the degradation process themost common types of oils used in the Czech Republic were used: sunflower, olive and canola oils. For the identification fourteen vegetable oils and oils from seeds and nuts were used. Mathematically processed spectral data indicate the
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
JB - Senzory, čidla, měření a regulace
OECD FORD obor
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Návaznosti výsledku
Projekt
<a href="/cs/project/ED2.1.00%2F03.0089" target="_blank" >ED2.1.00/03.0089: Centrum bezpečnostních, informačních a pokročilých technologií (CEBIA-Tech)</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2014
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
International Journal of Mathematical Models and Methods in Applied Sciences
ISSN
1998-0140
e-ISSN
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Svazek periodika
8
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
GB - Spojené království Velké Británie a Severního Irska
Počet stran výsledku
10
Strana od-do
319-328
Kód UT WoS článku
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EID výsledku v databázi Scopus
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