Predicting chemical shelf life of mozzarella cheese submitted to irregular refrigeration practices by Nuclear Magnetic Resonance spectroscopy and statistical analysis

dc.creatorGoncalves, Flávia Carneiro
dc.creatorOliveira, Vitor Mendes de
dc.creatorMartins, Felipe Terra
dc.creatorLiao, Luciano Morais
dc.creatorFerri, Pedro Henrique
dc.creatorQueiroz Júnior, Luiz Henrique Keng
dc.date.accessioned2023-12-06T11:44:38Z
dc.date.available2023-12-06T11:44:38Z
dc.date.issued2022
dc.description.abstractThe complex mixture found in mozzarella cheese favors microorganism proliferation that causes spoilage. Appropriate refrigeration during storage is one step in the supply chain that is critical to guarantee food quality. However, the impact of the absence of night-time refrigeration, practiced by some commercial establishments, in mozzarella chemical profile has not yet been investigated. To this end, during the evening the simulation of improper refrigeration was carried out using an uncovered Styrofoam box containing ice, allowing the system to reach the thermal balance with the environment. The key degradation compounds produced in mozzarella cheese from simulated inadequate refrigeration were identified and quantified using NMR (Nuclear Magnetic Resonance). While the composition and physicochemical analyses were unable to distinguish refrigeration practices, the NMR data revealed that the succinate contents changed significantly between different refrigeration treatments. At the labelled expiry date, inadequate refrigeration had led to an increase in the succinate content of more than 600%. The results suggested a reduction of 4 weeks of the chemical shelf life. Together, NMR and Principal Response Curve analysis are powerful tools to identify mozzarella cheese submitted to different refrigeration conditions.
dc.identifier.citationGONÇALVES, Flávia Carneiro et al. Predicting chemical shelf life of mozzarella cheese submitted to irregular refrigeration practices by Nuclear Magnetic Resonance spectroscopy and statistical analysis. Journal of Food Composition and Analysis, Amsterdam, v. 105, e104229, 2022. DOI: 10.1016/j.jfca.2021.104229. Disponível em: https://www.sciencedirect.com/science/article/pii/S0889157521004294?via%3Dihub. Acesso em: 30 nov. 2023.
dc.identifier.doi10.1016/j.jfca.2021.104229
dc.identifier.issne- 1096-0481
dc.identifier.issn0889-1575
dc.identifier.urihttp://repositorio.bc.ufg.br//handle/ri/23910
dc.language.isoeng
dc.publisher.countryHolanda
dc.publisher.departmentInstituto de Química - IQ (RMG)
dc.rightsAcesso Aberto
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectIrregular refrigeration
dc.subjectMozzarella cheese
dc.subjectDegradation marker
dc.subjectChemometrics
dc.subjectPrincipal response curve
dc.subjectNMR
dc.titlePredicting chemical shelf life of mozzarella cheese submitted to irregular refrigeration practices by Nuclear Magnetic Resonance spectroscopy and statistical analysis
dc.typeArtigo

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