Robustness of NMR-based metabolomics to generate comparable data sets for olive oil cultivar classification. An inter-laboratory study on Apulian olive oils

Food Chemistry

Volumn 199, Issue , 2016, Pages 675-683

  Piccinonna, Sara ^a   Ragone, Rosa ^a   Stocchero, Matteo ^b   Del Coco, Laura ^c   De Pascali, Sandra Angelica ^c   Schena, Francesco Paolo ^a   Fanizzi, Francesco Paolo ^a,c  

^a Medestea Research and Production Laboratories   (Italy)

^b S IN Soluzioni Informatiche   (Italy)

^c UNIVERSITY OF SALENTO   (Italy)

Author keywords

Cultivar classification; Data pre processing; Inter laboratory comparison; Multivariate statistical analysis; NMR based metabolomics; Olive oil

Indexed keywords

DATA ACQUISITION; DATA HANDLING; LABORATORIES; LEAST SQUARES APPROXIMATIONS; MULTIVARIANT ANALYSIS; NUCLEAR MAGNETIC RESONANCE; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; OLIVE OIL; SPECTROMETERS;

COMPARATIVE STUDIES; DATA PREPROCESSING; DIFFERENT RESOLUTIONS; INTERLABORATORY COMPARISON; METABOLOMICS; MULTIVARIATE STATISTICAL ANALYSIS; NUCLEAR MAGNETIC RESONANCE(NMR); PARTIAL LEAST SQUARE (PLS);

CLASSIFICATION (OF INFORMATION);

OLIVE OIL; VEGETABLE OIL;

CHEMISTRY; METABOLOMICS; MULTIVARIATE ANALYSIS; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PROCEDURES;

MAGNETIC RESONANCE SPECTROSCOPY; METABOLOMICS; MULTIVARIATE ANALYSIS; OLIVE OIL; PLANT OILS;

EID: 84951130068     PISSN: 03088146     EISSN: 18737072     Source Type: Journal    
DOI: 10.1016/j.foodchem.2015.12.064     Document Type: Article

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