2014
DOI: 10.1016/j.foodcont.2013.10.026
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A fast and non-destructive method to discriminate beef samples using TD-NMR

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Cited by 39 publications
(13 citation statements)
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“…The relaxation spectra showed two strong peaks for each sample, indicating the presence of two proton components in the fatty acid chains. 16 PCA was performed on the maximum normalized T 2 relaxation curves (Figure 4). The first principal component (PC1) explained 96.8% of the data variation and clearly discriminated the samples (OO/SO blends) according to the adulteration level.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The relaxation spectra showed two strong peaks for each sample, indicating the presence of two proton components in the fatty acid chains. 16 PCA was performed on the maximum normalized T 2 relaxation curves (Figure 4). The first principal component (PC1) explained 96.8% of the data variation and clearly discriminated the samples (OO/SO blends) according to the adulteration level.…”
Section: Resultsmentioning
confidence: 99%
“…As demonstrated elsewhere in the literature, chemometric analysis of relaxation data has shown better correlations than fitting procedures. 16 The 37 T 2 relaxation curves of the commercial oil samples were first studied using PCA. The first two principal components (PC1 and PC2) explained, together, 97.8% of the data variation.…”
Section: Non-invasive Screening Of Commercial Samplesmentioning
confidence: 99%
“…In order to investigate the effects of rehydration time, the lightly dried sea cucumbers were presoaked with deionized water for 4,8,12,16,20,24, and 28 h, respectively, at room temperature. NMR T 2 relaxation time spectra and MRI images of the presoaked sea cucumbers were measured at different time points.…”
Section: Rehydration Processmentioning
confidence: 99%
“…Obvious migration from immobilized water to free water was found during the postmortem aging of pork at 4 °C, which contributed to the increase in drip loss . LF‐NMR relaxation combined chemometrics have realized successfully the prediction of water content, fat and other quality parameters of fresh beef samples . However, there is little information about the change in water status and distribution of beef during storage or concerning their relationship with other quality indicators.…”
Section: Introductionmentioning
confidence: 99%