2022
DOI: 10.1016/j.jfca.2021.104229
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Predicting chemical shelf life of mozzarella cheese submitted to irregular refrigeration practices by Nuclear Magnetic Resonance spectroscopy and statistical analysis

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Cited by 5 publications
(3 citation statements)
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“…NMR provides a measure of product consistency that ensures that products are the same from batch to batch. NMR fingerprint consistency has been used in temporal projects to assess the “shelf-life” of a product, i.e., the time it takes for a product/ingredient fingerprint to change, which can be assessed quantitatively, including the presence of specific bioactive molecules [ 90 , 91 , 92 ]. More recently, in our lab, we have used NMR fingerprint consistency in cinnamon powders and extracts at different points in time, providing a quantitative measure of biomolecule change to assess the shelf-life or freshness of cinnamon products.…”
Section: Discussionmentioning
confidence: 99%
“…NMR provides a measure of product consistency that ensures that products are the same from batch to batch. NMR fingerprint consistency has been used in temporal projects to assess the “shelf-life” of a product, i.e., the time it takes for a product/ingredient fingerprint to change, which can be assessed quantitatively, including the presence of specific bioactive molecules [ 90 , 91 , 92 ]. More recently, in our lab, we have used NMR fingerprint consistency in cinnamon powders and extracts at different points in time, providing a quantitative measure of biomolecule change to assess the shelf-life or freshness of cinnamon products.…”
Section: Discussionmentioning
confidence: 99%
“…NMR and principal response curve analysis could be used to identify Mozzarella cheese exposed to various refrigeration settings (Gonçalves et al . 2022). The best markers of rind inclusion of >18% in grated Parmigiano Reggiano, including 2‐hydroxyadenine and the amino acid derivatives argininic acid and 5‐hydroxyindole acetaldehyde were detected by using a combined metabolomics and peptidomics approach (Rocchetti et al .…”
Section: Dairy Quality Evaluation Based On Metabolomicsmentioning
confidence: 99%
“…Edwards et al [ 8 ] evaluated time and temperature effects on the metabolite profile of milk during storage to identify possible candidate compounds for monitoring SL. The same approach was adopted to predict the mozzarella cheese SL, submitted to irregular refrigeration practices [ 9 ]. Other studies were focused on the evaluation of SL of different fishes [ [10] , [11] , [12] ] and meat types [ 13 ].…”
Section: Introductionmentioning
confidence: 99%