2020
DOI: 10.3390/metabo10070293
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An NMR Metabolomics Approach to Investigate Factors Affecting the Yoghurt Fermentation Process and Quality

Abstract: A great number of factors can influence milk fermentation for yoghurt production such as fermentation conditions, starter cultures and milk characteristics. It is important for dairy companies to know the best combinations of these parameters for a controlled fermentation and for the desired qualities of yoghurt. This study investigates the use of a 1H-NMR metabolomics approach to monitor the changes in milk during fermentation from time 0 to 24 h, taking samples every hour in the first 8 h and then at the end… Show more

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Cited by 26 publications
(17 citation statements)
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“…thermophilus was consumed during coculture with Lb. bulgaricus (Trimigno et al, 2020), supporting that fumaric acid functions as a symbiotic substance between these species. We also confirmed that the addition of fumaric acid to the coculture of Lb.…”
Section: Discussionmentioning
confidence: 83%
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“…thermophilus was consumed during coculture with Lb. bulgaricus (Trimigno et al, 2020), supporting that fumaric acid functions as a symbiotic substance between these species. We also confirmed that the addition of fumaric acid to the coculture of Lb.…”
Section: Discussionmentioning
confidence: 83%
“…thermophilus was rapidly consumed during coculture with Lb. bulgaricus (Trimigno et al, 2020). These reports suggest that fumaric acid functions as the symbiotic substance between Strep.…”
Section: Introductionmentioning
confidence: 92%
See 1 more Smart Citation
“…Certain parameters can affect milk fermentation and desirable yogurt qualities, such as fermenting conditions, starter crops, and milk characteristics. Trimigno et al [83] conducted a metabolomic NMR approach to research the yogurt fermentation process and how NMR can detect yogurt quality. The breakdown and a concomitant increase of proteins and lactose during fermentation were also observed.…”
Section: Milk and Dairy Productsmentioning
confidence: 99%
“…111 Despite its relatively low sensitivity, this technology is highly reproducible, rapid, and no preliminary sample separation is required, and it has been implemented to screen the metabolic profile of the blue mussel (Mytilus edulis) and the Manila clam (Ruditapes phlippinarum), 112 to discriminate the geographical origins of agave species and grape varieties, 113 to determine the metabolomic profiling of acerola clones at different ripening stages, 114 to evaluate the rheological characteristics of sponge cake after in vitro digestion, 115 or to investigate milk fermentation during yoghurt production when different heat treatments of milk and starter cultures are employed. 116 In all of these studies, advanced statistical tools played a critical role for compound identification and the discovery of significant metabolites. For instance, the statistical total correlation spectroscopy (STOCSY) was used by Aru et al to identify mytilitol as an integral part of the metabolome of R. philippinarum and M. edulis, but also to suggest that the distribution of this metabolite is species-specific and dependent on the geographical origin of the sample.…”
Section: T H Imentioning
confidence: 99%