5 Concluding Remarks
Several analytical methods may be used for metabolomic profiling of plants; however, 1H NMR spectra offers a wealth of information of metabolites compared to other methods. Decoupled NMR spectra (J-resolved) provide even more information since metabolites can be accurately integrated and it can exclude broad resonances from macromolecules and spin-spin coupling data. In addition, combinations of two dimensional NMR methods are quite helpful to identify the metabolites in plant extract.
To be able to compare all the data generated from NMR from different experiments and different laboratories, a large database is required. However, that requires a high degree of reproducibility, which can be achieved by using a standardized method for sample preparation and data acquisition.
So far, NMR has been successfully used for the metabolomic fingerprinting and profiling of plants and is successfully applied in quality control of among others, food and botanicals. The use of NMR metabolomics in functional genomics will be the challenge for the coming year.
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References
Aharoni A, Ric de Vos CH, Verhoeven HA, Maliepaard CA, Kruppa G, Bino R, Goodenowe D (2002) Non-targeted metabolomic profiling using Fourier transform ion cyclotron mass spectrometry (FTMS). OMICS J Intergrative Biol 6:217–234
Bax A, Davis DG (1985) MLEV-17-based two-dimensional homonuclear magnetization transfer spectroscopy. J Magn Reson 65:355–360
Braunschweiler L, Ernst RR (1983) Coherence transfer by isotropic mixing: application to proton correlation spectroscopy. J Magn Reson 53:521–528
Brescia MA, Caldarola V, de Giglio A, Benedetti D, Fanizzi FP, Sacco A (2002) Characterization of the geographical origin of Italian red wine based on traditional and nuclear magnetic resonance spectrometric determinations. Anal Chim Acta 458:117–186
Charlton AJ, Farrington WHH, Brereton P (2002) Application of 1H NMR and multivariate statistics for screening complex mixtures: quality control and authenticity of instant coffee. J Agric Food Chem 50:3098–3103
Choi H-K, Choi YH, Verberne M, Lefeber AWM, Erkelens C, Verpoorte R (2004a) Metabolic fingerprinting of wild type and transgenic tobacco plants by 1H NMR and multivariate analysis technique. Phytochemistry 65:857–864
Choi YH, Kim HK, Hazekamp A, Erkelens C, Lefeber AWM, Verpoorte R (2004b) Metabolomic differentiation of Cannabis sativa cultivars using 1H NMR spectroscopy and principal component analysis. J Nat Prod 67:953–957
Choi YH, Tapias EC, Kim HK, Lefeber AWM, Erkelens C, Verhoeven JTJ, Brzin J, Verpoorte R (2004c) Metabolomic discrimination of Catharanthus roseus leaves infected by phytoplasma using 1H-NMR spectroscopy and multivariate data analysis. Plant Physiol 135:2398–2410
Choi YH, Sertic S, Kim HK, Wilson EG, Michopoulosa F, Lefeber AWM, Erkelens C, Verpoorte R (2005) Classification of Ilex species based on metabolomic fingerprinting using NMR and multivariate data analysis. J Agric Food Chem 53:1237–1245
Duarte I, Barros A, Belton PS, Righelato R, Spraul M, Humpfer E, Gil AM (2002) High-resolution nuclear magnetic resonance spectroscopy and multivariate analysis for the characterization of beer. J Agric Food Chem 50:2475–2481
Eriksson L, Johansson E, Kettaneh-Wold N, Wold S (2001) Multi-and megavariate data analysis. Umetrics Academy, Umeå, Sweden
Fiehn O (2002) Metabolomics-the link between genotypes and phenotypes. Plant Mol Biol 48:155–171
Frédérich M, Choi YH, Angenot L, Harnischfeger G, Lefeber AWM, Verpoorte R (2004) Metabolomic analysis of Strychnos nux-vomica, Strychnos icaja and Strychnos ignatii extracts by 1H nuclear magnetic resonance spectrometry and multivariate analysis techniques. Phytochemisty 65:1993–2001
Goodacre R, Shann B, Gilbert RJ, Timmins EM, McGovern AC, Kell DB, Logan NA (2000) Detection of the dipicolic acid biomarker in Bacillus spores using Curie-point pyrolysis mass spectrometry and Fourier transform infrared spectroscopy. Anal Chem 72:119–127
Huhman DV, Sumner LW (2002) Metabolic profiling of saponins in Medicago sativa and Medicago trumcatula using HPLC coupled to an elcetrospreay ion-trap mass spectrometer. Phytochemisty 59:347–360
Kim HK, Choi YH, Luijendijk TJC, Vera Rocha RA, Verpoorte R (2004) Comparison of secologanin extraction methods and quantitative analysis of secologanin from Symphoricarpos albus by using 1H-NMR. Phytochem Anal 15:257–261
Rhee IK, Appels N, Hoete B, Karabatak B, Erkelens C, Stark LM, Flippin LA, Verpoorte R (2004) Isolation of the acetylcholinesterase inhibitor ungeremine from Nerine bowdenii by preparative HPLC-coupled on-line to a flow assay system. Biol Pharm Bull 27:1804–1809
Schripsema J, van Beek TA, Verpoorte R, Erkelens C, Perera P, Tibell C (1987) A reinvestigation of the stereochemistry of tubotaiwine using NMR spectroscopy. J Nat Prod 50:89–101
Sumner LW, Mendes P, Dixon RA (2003) Plant metabolomics: large-scale phytochemistry in the functional genomics era. Phytochemistry 62:817–836
Tolstikov VV, Fiehn O (2002) Analysis of highly polar compounds of plant origin: combination of hydrophilic interaction chromatography and electrospray ion trap mass spectroscopy. Anal Biochem 301:298–307
Viant MR (2003) Improved methods for the acquisition and interpretation of NMR metabolomic data. Biochem Biophys Res Commun 310:943–948
Vogels JTWE, Terwel L, Tas AC, van den Berg F, Dukel F, van der Greef J (1996) Detection of adulteration in orange juices by a new screening method using proton NMR spectroscopy in combination with pattern recognition techniques. J Agric Food Chem 44:175–180
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Kim, H.K., Choi, Y.H., Verpoorte, R. (2006). Metabolomic Analysis of Catharanthus roseus Using NMR and Principal Component Analysis. In: Saito, K., Dixon, R.A., Willmitzer, L. (eds) Plant Metabolomics. Biotechnology in Agriculture and Forestry, vol 57. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-29782-0_19
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