A combined approach for characterisation of fresh and brined vine leaves by X-ray powder diffraction, NMR spectroscopy and direct infusion high resolution mass spectrometry

Food Chemistry

Volumn 141, Issue 3, 2013, Pages 1908-1915

  Rizzuti, Antonino ^a   Caliandro, Rocco ^b   Gallo, Vito ^a   Mastrorilli, Piero ^a   Chita, Giuseppe ^b   Latronico, Mario ^a  

^a POLITECNICO DI BARI   (Italy)

^b CNR   (Italy)

Author keywords

Covariance analysis; Direct infusion mass spectrometry; Nuclear magnetic resonance; Principal component analysis; Vine leaves; X ray powder diffraction

Indexed keywords

BIOMOLECULES; FATTY ACIDS; MAGNETIC RESONANCE SPECTROSCOPY; MASS SPECTROMETRY; METABOLITES; NUCLEAR MAGNETIC RESONANCE; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; SPECTROMETRY; X RAY DIFFRACTION ANALYSIS; X RAY POWDER DIFFRACTION;

COVARIANCE ANALYSIS; CRYSTALLINE COMPONENTS; DIRECT INFUSION MASS SPECTROMETRIES; FINGERPRINTING PURPOSE; HIGH RESOLUTION MASS SPECTROMETRY; OMEGA-3-FATTY ACIDS; SOLUBLE METABOLITES; VINE LEAVES;

PRINCIPAL COMPONENT ANALYSIS;

LINOLENIC ACID; OMEGA 3 FATTY ACID; QUERCETIN DERIVATIVE;

ARTICLE; GRAPE; MASS SPECTROMETRY; METABOLITE; NONHUMAN; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PLANT LEAF; X RAY POWDER DIFFRACTION;

VITACEAE;

EID: 84879032927     PISSN: 03088146     EISSN: 18737072     Source Type: Journal    
DOI: 10.1016/j.foodchem.2013.05.044     Document Type: Article

References (48)

1. Ali, K., Maltese, F., Fortes, A. M., Pais, M. S., Choi, Y. H., & Verpoorte, R. (2011). Monitoring biochemical changes during grape berry development in Portuguese cultivars by NMR spectroscopy. Food Chemistry, 124, 1760-1769.
2. Ali, K., Maltese, F., Zyprian, E., Rex, M., Choi, Y. H., & Verpoorte, R. (2009). NMR metabolic fingerprinting based identification of grapevine metabolites associated with Downy mildew resistance. Journal of Agricultural and Food Chemistry, 57, 9599-9606.
3. 1H NMR and GC-MS metabolic fingerprinting of developmental stages of Rhizoctonia solani sclerotia. Metabolomics, 6, 96-108.
4. Altomare, A., Burla, M. C., Giacovazzo, C., Guagliardi, A., Moliterni, A. G. G., Polidori, G., et al. (2001). Quanto: A Rietveld program for quantitative phase an (Pubitemid 32506655)
5. Bansal, P., Hall, M., Realff, M. J., Lee, J. H., & Bommarius, A. S. (2010). Multivariate statistical analysis of X-ray data from cellulose: A new method to determine degree of crystallinity and predict hydrolysis rate. Bioresource Technology, 101, 4461-4471.
6. Bevilacqua, V., Triggiani, M., Gallo, V., Cafagna, I., Mastrorilli, P., & Ferrara, G. (2012). An expert system for an innovative discrimination tool of commercial table grapes. Lecture Notes in Computer Science - LNAI, 7390, 95-102.
7. Brun, R., & Rademakers, F. (1998). ROOT - An object. Oriented data analysis framework. Linux Journal, 51.
8. Burgess, D. D., & Tervo, R. J. (1983). Background estimation for gamma-ray spectroscopy. NIM, 214, 431-434.
9. Burillo, E., Mateo-Gallego, R., Cenarro, A., Fiddyment, S., Bea, A. M., Jorge, I., et al. (2012). Beneficial effects of omega-3 fatty acids in the proteome of high-density lipoprotein proteome. Lipids in Health and Disease, 11, 116.
10. Caliandro, R., Di Profio, G., & Nicolotti, O. (2013). Journal of Pharmaceutical and Biomedical Analysis, 78-79, 269-279.
11. Casale, M., Armanino, C., Casolino, C., & Forina, M. (2007). Combining information from headspace mass spectrometry and visible spectroscopy in the classification of the Ligurian olive oils. Analytica Chimica Acta, 589, 89-95. (Pubitemid 46482409)
12. Casale, M., Casolino, C., Olivieri, P., & Forina, M. (2010). The potential of coupling information using three analytical techniques for identifying the geographical origin of Liguria extra virgin olive oil. Food Chemistry, 118, 163-170.
13. Colquhoun, I. J. (2007). Use of NMR for metabolic profiling in plant systems. Journal of Pesticide Science, 32, 200-212. (Pubitemid 47347646)
14. Conde, C., Agasse, A., Glissant, D., Tavares, R., & Gerós Delrot, S. (2006). Pathways of glucose regulation of monosaccharide transport in grape cells. Plant Physiology, 141, 1563-1577. (Pubitemid 44223305)
15. Davies, C., & Robinson, S. P. (1996). Sugar accumulation in grape berries. Plant Physiology, 111, 275-283.
16. Ensikat, H. J., Boese, M., Mader, W., Barthlott, W., & Koch, K. (2006). Crystallinity of plant epicuticular waxes: Electron and X-ray diffraction studies. Chemistry and Physics of lipids, 144, 45-59. (Pubitemid 44537269)
17. Fan, T. W. M. (1996). Metabolite profiling by one- and two-dimensional NMR analysis of complex mixture. Progress in Nuclear Magnetic Resonance Spectroscopy, 28, 161-219.
18. Ferrara, G., Mazzeo, A., Matarrese, A. M. S., Pacucci, C., Pacifico, A., Gambacorta, G., et al. (2013). Application of abscisic acid (S-ABA) to 'Crimson Seedless' grape berries in a Mediterranean climate: Effects on color, chemical characteristics, metabolic profile and S-ABA concentration. Journal of Plant Growth Regulation. http://dx.doi.org/10.1007/s00344-012-9316-2 (in press).
19. Figueiredo, A., Fortes, A. M., Ferreira, S., Sebastiana, M., Choi, Y. H., Souza, L., et al. (2008). Transcriptional and metabolic profiling of grape (Vitis vinifera L.) leaves unravel possible innate resistance against pathogenic fungi. Journal of Experimental Botany, 59(12), 3371-3381.
20. Forveille, L., Vercauteren, J., & Rutledge, D. N. (1996). Multivariate statistical analysis of two-dimensional NMR data to differentiate grapevine cultivars and clones. Food Chemistry, 57, 441-450. (Pubitemid 26417734)
21. 1H NMR data for evaluation of metabolic profile in commercial table grapes (Vitis vinifera): inter- vs intravineyard variability. Journal of Food Composition and Analysis (submitted for publication).
22. Ho, L., Ferruzzi, M. G., Janle, E. M., Wang, J., Gong, B., Chen, T.-Y., et al. (2013). Identification of brain-targeted bioactive dietary quercetin-3-O-glucuronide as a novel intervention for Alzheimer's disease. The Journal of the Federation of American Societies for Experimental Biology, 27, 769-781.
23. Kim, K. H., Choi, Y. H., & Verpoorte, R. (2010). NMR-based metabolomic analysis of plants. Nature Protocols, 5, 536-549.
24. Kopka, J., Fernie, A., Weckwerth, W., Gibon, Y., & Stitt, M. (2004). Metabolite profiling in plant biology: Platforms and destinations. Genome Biology, 5, 109.1-109.9.
25. Koşar, M., Küpeli, E., Malyer, H., Uylaşer, V., Türkben, C., & Hüsnü Can Başer, K. (2007). Effect of brining on biological activity of leaves of Vitis Vinifera L. (Cv. Sultani Çekirdeksiz) from Turkey. Journal of Agricultural and Food Chemistry, 55, 4596-4603. (Pubitemid 46932660)
26. Lamikanara, O., & Kassa, A. K. (1999). Changes in the free amino acid composition with maturity of noble cultivar of Vitis rotundifolia Micho grapes. Journal of Agricultural and Food Chemistry, 47, 4837-4841. (Pubitemid 30016905)
27. Morháč, M., Kliman, J., Matoušek, V., Veselský, M., & Turzo, I. (1997). Background elimination methods for multidimensional gamma-ray spectra. NIM, A401, 113-132. (Pubitemid 127413063)
28. Mulas, G., Galaffu, M. G., Pretti, L., Nieddu, G., Mercenaro, L., Tonelli, R., et al. (2011). NMR Analysis of seven selections of Vermentino grape berry: Metabolites composition and development. Journal of Agricultural and Food Chemistry, 59, 793-802.
29. Nicholson, J. K., & Lindon, J. C. (2008). Metabonomics. Nature, 455, 1054-1056.
30. Nikolaou, N., Koukourikou, M. A., & Koragiannidis, N. (2000). Effect of various rootstocks on xylem exudates cytokinins, nutrient uptake, and growth pattern of grape vines Vitis Vinifera L. cv. Thompson seedless. Agronomie, 20, 363-373. (Pubitemid 30466744)
31. Nishiyama, Y., Langan, P., & Chanzy, H. (2002). Crystal structure and hydrogenbonding system in cellulose 1β from synchrotron X-ray and neutron fiber diffraction. Journal of the American Chemical Society, 124, 9074-9082. (Pubitemid 34847668)
32. Pereira, G. E., Gaudillere, J. P., Pieri, P., Hilbert, G., Maucourt, M., Deborde, C., et al. (2006). Microclimate influence on mineral and metabolic profiles of grape berries. Journal of Agricultural and Food Chemistry, 54, 6765-6775. (Pubitemid 44426957)
33. 1H NMR and chemometrics to characterise mature grape berries in four wine-growing areas in Bordeaux, France. Journal of Agricultural and Food Chemistry, 53, 6382-6389. (Pubitemid 41169389)
34. 1H NMR metabolite fingerprints of grape berry: Comparison of vintage and soil effects in Bordeaux grapevine growing areas. Analytica Chimica Acta, 563, 346-352.
35. Picone, G., Mezzetti, B., Babini, E., Capocasa, F., Placucci, G., & Capozzi, F. (2011). Journal of Agricultural and Food Chemistry, 59, 9271-9279.
36. Rietveld, H. M. (1969). A profile refinement method for nuclear and magnetic structures. Journal of Applied Crystallography, 2, 65-71.
37. Robinette, S. L., Brüschweiler, R., Schroeder, F. C., & Edison, A. S. (2012). NMR in metabolomics and natural products research: Two sides of the same coin. Accounts of Chemical Research, 45, 288-297.
38. Ryan, C. G., Clayton, E., Griffin, W. L., Sie, S. H., & Cousens, D. R. (1988). SNIP, a statistics-sensitive background treatment for the quantitative analysis of PIXE spectra in geoscience applications. NIM, B34, 396-402. (Pubitemid 18663607)
39. Satisha, J., Pooja Doshi, D., & Adsule, P. G. (2008). Influence of rootstocks on changing pattern of phenolic compounds in Thompson Seedless grapes and its relation to the incidence of powdery mildew. Turkish Journal of Agriculture and Forestry, 32, 1-9. (Pubitemid 351359554)
40. Scalbert, A. S., Brennan, L., Fiehn, O., Hankemeier, T., Kristal, B. S., van Ommen, B., et al. (2009). Mass-spectrometry-based metabolomics: Limitations and recommendations for future progress with particular focus on nutrition research. Metabolomics, 5, 435-458.
41. Schripsema, J. (2010). Application of NMR in plant metabolomics: Techniques, problems and prospects. Phytochemical Analysis, 21, 14-21.
42. Seger, C., Godejohann, M., Tseng, L.-H., Spraul, M., Girtler, A., Sturm, S., et al. (2005). LC-DAD-MS/SPE-NMR hyphenation. A tool for the analysis of pharmaceutically used plant extracts: Identification of isobaric iridoid glycoside regioisomers from Harpagophytum procumbens. Analytical Chemistry, 77(3), 878-885. (Pubitemid 40194152)
43. 1H NMR spectroscopic data. Food Research International, 42, 1483-1491.
44. 1H NMR analysis coupled with multivariate statistics. Journal of Agricultural and Food Chemistry, 57, 1481-1490.
45. Sumner, L. W., Duran, A. L., Huhman, D. H., & Smith, J. T. (2002). Metabolomics: A developing and integral component in functional genomic studies of Medicago Truncatula. In J. T. Romeo & R. A. Dixon (Eds.), Recent advances in phytochemistry (pp. 31-61). Oxford: Pergamon.
46. Sumner, L. W., Mendes, P., & Dixon, R. A. (2003). Plant metabolomics: Large-scale phytochemistry in the functional genomics era. Phytochemistry, 62, 818-836.
47. Wishart, D. S. (2008). Quantitative metabolomics using NMR. Trends in Analytical Chemistry, 27, 228-237.
48. Wu, B. H., Liu, H. F., Guan, L., Fan, P. G., & Li, S. H. (2011). Carbohydrate metabolism in grape cultivars that differ in sucrose accumulation. Vitis, 50, 51-57.