Utilization of FT-NIR Spectroscopy to Check Acidity of Various Types of Cheeses
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F19%3A43915655" target="_blank" >RIV/62156489:43210/19:43915655 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/70883521:28110/19:63523506
Výsledek na webu
<a href="https://doi.org/10.5740/jaoacint.18-0250" target="_blank" >https://doi.org/10.5740/jaoacint.18-0250</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5740/jaoacint.18-0250" target="_blank" >10.5740/jaoacint.18-0250</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Utilization of FT-NIR Spectroscopy to Check Acidity of Various Types of Cheeses
Popis výsledku v původním jazyce
Background: Monitoring the acidity of cheese is an important control mechanism in various stages of manufacture, including aging. Acid development in cheesemaking is essential to cheese flavor, texture, and safety. Objective: The aim of the work was to develop and validate calibration models by using NIR spectroscopy, which allows for the monitoring of changes in cheese acidity (pH and titration acidity) during cheese ripening. Methods: Cheeses were analyzed by an FT-NIR spectrometer. Each of the samples was analyzed three times, and for calibration, an average spectrum was used. A partial least-squares regression was used to develop calibration models. The constructed calibration models were validating by full cross-validation. Results: Calibration models were created with a high correlation coefficient for the following cheese pH levels: blue cheese (0.966), Olomouc curd read smear cheese (0.984), and fresh goat cheese (0.980). Results of the calibration of titratable acidity are functional for fresh goat cheese (0.953) and mozzarella (0.999). Conclusions: The results of these new calibration methods showed the possibility of NIR technology for the fast determination of pH and titratable acidity. Highlights: Detection of cheese acidity using FT-NIR spectrometry enables rapid evaluation of the process of lactic acidification in particular cheese technological operations, including the maturing of cheeses.
Název v anglickém jazyce
Utilization of FT-NIR Spectroscopy to Check Acidity of Various Types of Cheeses
Popis výsledku anglicky
Background: Monitoring the acidity of cheese is an important control mechanism in various stages of manufacture, including aging. Acid development in cheesemaking is essential to cheese flavor, texture, and safety. Objective: The aim of the work was to develop and validate calibration models by using NIR spectroscopy, which allows for the monitoring of changes in cheese acidity (pH and titration acidity) during cheese ripening. Methods: Cheeses were analyzed by an FT-NIR spectrometer. Each of the samples was analyzed three times, and for calibration, an average spectrum was used. A partial least-squares regression was used to develop calibration models. The constructed calibration models were validating by full cross-validation. Results: Calibration models were created with a high correlation coefficient for the following cheese pH levels: blue cheese (0.966), Olomouc curd read smear cheese (0.984), and fresh goat cheese (0.980). Results of the calibration of titratable acidity are functional for fresh goat cheese (0.953) and mozzarella (0.999). Conclusions: The results of these new calibration methods showed the possibility of NIR technology for the fast determination of pH and titratable acidity. Highlights: Detection of cheese acidity using FT-NIR spectrometry enables rapid evaluation of the process of lactic acidification in particular cheese technological operations, including the maturing of cheeses.
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/QJ1210302" target="_blank" >QJ1210302: Technologické postupy a složení mléčných výrobků umožňující prodloužení údržnosti, zvýšení bezpečnosti nebo zvýšení nutričních a zdravotních benefitů prostřednictvím bioaktivních látek přirozeně se vyskytujících v potravinách</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 AOAC International
ISSN
1060-3271
e-ISSN
—
Svazek periodika
102
Číslo periodika v rámci svazku
3
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
5
Strana od-do
893-897
Kód UT WoS článku
000467667900028
EID výsledku v databázi Scopus
2-s2.0-85065299283