2017
DOI: 10.1016/j.postharvbio.2017.07.002
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Analyses of quality and metabolites levels of okra during postharvest senescence by 1 H-high resolution NMR

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Cited by 25 publications
(14 citation statements)
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“…It also had a long‐range correlation with C‐4 at 137.4 in HMBC spectra. The peaks of 7.0–9.4 in 1 H spectra were assigned to phenolics as the proton signals in this range were usually observed from aromatic ring (Liu et al., 2017). The signals at 3.21 (s) and 3.23 (s) were assigned to choline and phosphocholine, respectively.…”
Section: Resultsmentioning
confidence: 99%
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“…It also had a long‐range correlation with C‐4 at 137.4 in HMBC spectra. The peaks of 7.0–9.4 in 1 H spectra were assigned to phenolics as the proton signals in this range were usually observed from aromatic ring (Liu et al., 2017). The signals at 3.21 (s) and 3.23 (s) were assigned to choline and phosphocholine, respectively.…”
Section: Resultsmentioning
confidence: 99%
“…Results were then visualized in the form of the score plots in which each point represented an individual sample. The quality of models was evaluated with R 2 X and Q 2 values, reflecting the explained variables and the model predictability (Liu et al., 2017; Paravisini & Peterson, 2019).…”
Section: Methodsmentioning
confidence: 99%
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“…Postharvest loss of okra ranges from 50 to 72% [9]. The fresh okra pods deteriorate rapidly after harvest due to high water loss, fruit softening, and color degradation (blackening of ridges and calyx discs) by oxidation and enzymatic activities, resulting in commercial value deletion [10]. Fruit softening is caused by cellular disintegration and breakdown of proto-pectin into pectin [11].…”
Section: Introductionmentioning
confidence: 99%
“…Nuclear magnetic resonance (NMR) spectroscopy is a promising tool to identify and quantify complex metabolites from postharvest crops [ 13 , 14 ]. Principal component analysis (PCA) has been considered as a common and powerful multivariate technique in metabolomics studies and provides insights into the separation between experimental groups based on data of mass spectrometry, NMR or other analytical techniques [ 15 ].…”
Section: Introductionmentioning
confidence: 99%