Investigation of different apple cultivars by high resolution magic angle spinning NMR. A feasibility study

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

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(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 > Departement of Chemistry and Biochemistry
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 and Vermathen, Peter

ISSN:

0021-8561

Publisher:

American Chemical Society

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 14:20

Last Modified:

06 Dec 2013 13:27

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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