| Literature DB >> 31667283 |
E Curti1, A Pardu1, S Del Vigo1, R Sanna1, R Anedda1.
Abstract
We report the relaxometric dataset obtained on renneted milk during syneresis by Time-Domain Nuclear Magnetic Resonance spectroscopy (TD-NMR). Data were obtained on cow's milk provided by two different producers in two different lactation seasons (April and October) and on a group of goat's milk samples (one season, November-December, one producer). TD-NMR data refer to spin-spin relaxation times (T2) decay curves and distributions measured at 40 °C at seven time points after rennet addition, up to 70 minutes of syneresis. Curd was cut 30 min after rennet addition without removing the NMR tube from the TD-NMR instrument. The dataset here reported is related to the research article entitled "Non invasive monitoring of curd syneresis upon renneting of raw and heat-treated cow's and goat's milk" [E. Curti, A. Pardu, S. Del Vigo, R. Sanna, R. Anedda, Non-invasive monitoring of curd syneresis upon renneting of raw and heat-treated cow's and goat's milk, Int. Dairy J. 90 (2019) 95-97].Entities:
Keywords: Cheese production; Cow's and goat's milk; Curd syneresis; Dairy science and technology; Low-field NMR; Milk thermization and pasteurization; T2 relaxation
Year: 2019 PMID: 31667283 PMCID: PMC6811960 DOI: 10.1016/j.dib.2019.104520
Source DB: PubMed Journal: Data Brief ISSN: 2352-3409
Fig. 1Dataset on curds during syneresis. Representative graphical examples of (a) CPMG signal decays and (b) T2 quasi-continuous distributions obtained by using CONTIN software.
Fig. 2(a) T2 quasi-continuous distributions (CONTIN) of milk immediately after rennet addition (at T0) and (b) on curds after 70 min (T6). Solid lines refer to raw milk and derived curd, dashed lines represent the heat-treated counterparts.
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The dataset is useful to demonstrate and understand the effect of heat treatments of milk on the microstructural features of curd during syneresis The dataset can be useful to both researchers involved in the application of NMR relaxometry in dairy science and to dairy technologists The dataset can be used as a comparison in studies investigating the effect of other parameters (e.g. season, cattle diet, cattle species, rearing environment, climate) on milk and curd microstructural features. To the best of our knowledge, this is the first published NMR relaxometry dataset on whole milk Our dataset would serve as a starting point for the implementation of NMR in process and quality control of dairy products |