Vermathen, Martina; Marzorati, Mattia; Baumgartner, Daniel; Good, Claudia; Vermathen, Peter (2011). Investigation of different apple cultivars by high resolution magic angle spinning NMR. A feasibility study. Journal of agricultural and food chemistry, 59(24), pp. 12784-93. Columbus, Ohio: American Chemical Society 10.1021/jf203733u
Full text not available from this repository.(1)H HR-MAS NMR spectroscopy was applied to apple tissue samples deriving from 3 different cultivars. The NMR data were statistically evaluated by analysis of variance (ANOVA), principal component analysis (PCA), and partial least-squares-discriminant analysis (PLS-DA). The intra-apple variability of the compounds was found to be significantly lower than the inter-apple variability within one cultivar. A clear separation of the three different apple cultivars could be obtained by multivariate analysis. Direct comparison of the NMR spectra obtained from apple tissue (with HR-MAS) and juice (with liquid-state HR NMR) showed distinct differences in some metabolites, which are probably due to changes induced by juice preparation. This preliminary study demonstrates the feasibility of (1)H HR-MAS NMR in combination with multivariate analysis as a tool for future chemometric studies applied to intact fruit tissues, e.g. for investigating compositional changes due to physiological disorders, specific growth or storage conditions.
Item Type: |
Journal Article (Original Article) |
|---|---|
Division/Institute: |
08 Faculty of Science > Department of Chemistry, Biochemistry and Pharmaceutical Sciences (DCBP) 04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic, Interventional and Paediatric Radiology > DCR Magnetic Resonance Spectroscopy and Methodology (AMSM) |
UniBE Contributor: |
Vermathen, Martina, Marzorati, Mattia, Vermathen, Peter |
ISSN: |
0021-8561 |
Publisher: |
American Chemical Society |
Language: |
English |
Submitter: |
Factscience Import |
Date Deposited: |
04 Oct 2013 14:20 |
Last Modified: |
05 Dec 2022 14:05 |
Publisher DOI: |
10.1021/jf203733u |
PubMed ID: |
22084979 |
Web of Science ID: |
000298215100008 |
URI: |
https://boris.unibe.ch/id/eprint/6514 (FactScience: 211493) |
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