2012
DOI: 10.1016/j.foodchem.2011.11.142
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1H HRMAS-NMR metabolomic to assess quality and traceability of mozzarella cheese from Campania buffalo milk

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Cited by 104 publications
(62 citation statements)
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“…In another study, based on a molecular approach, Bonizzi et al (2006) found a relationship between the genetic diversity of the BM cheese microbiota and different areas of the PDO production district. Mazzei and Piccolo (2012) demonstrated that 1 H HRMAS NMR spectroscopy can rapidly characterise the metabolic profile of mozzarella cheese and, through the application of multivariate statistical data analysis (MVA), the authors were able to distinguish the different production sites of BM. By means of analytical and spectroscopic determinations, Brescia, Monfreda, Buccolieri, and Carrino (2005) accomplished the same goal.…”
Section: Introductionmentioning
confidence: 99%
“…In another study, based on a molecular approach, Bonizzi et al (2006) found a relationship between the genetic diversity of the BM cheese microbiota and different areas of the PDO production district. Mazzei and Piccolo (2012) demonstrated that 1 H HRMAS NMR spectroscopy can rapidly characterise the metabolic profile of mozzarella cheese and, through the application of multivariate statistical data analysis (MVA), the authors were able to distinguish the different production sites of BM. By means of analytical and spectroscopic determinations, Brescia, Monfreda, Buccolieri, and Carrino (2005) accomplished the same goal.…”
Section: Introductionmentioning
confidence: 99%
“…The two batches studied here were from two different provinces in the main area of production. Accordingly, the microbiota associated with the production of buffalo mozzarella cheese and also the aroma profiles of mozzarella have been shown to be dependent on geographic origin (3,17,18). Abundant groups of Gram-negative OTUs, such as Pseudomonas spp.…”
mentioning
confidence: 99%
“…However, it is difficult to determine the geographical origins of food resources by their external appearances. Since the metabolite profiles of certain food resources can differ depending on their geographical origins, metabolomics can be useful for determining their authenticity and traceability [14][15][16]. For example, the discrimination of geographical origins is particularly important for foods such as coffee [17], green tea [18], ginseng [19], grape [20], cheese, milk [21,22] and cattle [23].…”
Section: Metabolomics For Food Resource Productionmentioning
confidence: 99%