Coffee's country of origin determined by NMR: the Colombian case.
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J. Wist | H. Schäfer | V A Arana | J Medina | R Alarcon | E Moreno | L Heintz | H Schäfer | J Wist | J. Medina | V. Arana | R. Alarcón | E. Moreno | L. Heintz | Jessica Medina
[1] G. Hwang,et al. Characterization of wines from grape varieties through multivariate statistical analysis of 1H NMR spectroscopic data , 2009 .
[2] Age K. Smilde,et al. Double-check: validation of diagnostic statistics for PLS-DA models in metabolomics studies , 2011, Metabolomics.
[3] R. Consonni,et al. NMR characterization of saccharides in Italian honeys of different floral sources. , 2012, Journal of agricultural and food chemistry.
[4] Max Kuhn,et al. Building Predictive Models in R Using the caret Package , 2008 .
[5] G. Foca,et al. Adulteration of the anthocyanin content of red wines: perspectives for authentication by Fourier transform-near infrared and 1H NMR spectroscopies. , 2011, Analytica chimica acta.
[6] S. Wold,et al. PLS-regression: a basic tool of chemometrics , 2001 .
[7] J. Pawliszyn,et al. Headspace solid-phase microextraction-gas chromatographic-time-of-flight mass spectrometric methodology for geographical origin verification of coffee. , 2008, Analytica chimica acta.
[8] A. Farah,et al. Chlorogenic acids and other relevant compounds in Brazilian coffees processed by semi-dry and wet post-harvesting methods , 2010 .
[9] Sam F. Y. Li,et al. Characterization of oils and fats by 1H NMR and GC/MS fingerprinting: classification, prediction and detection of adulteration. , 2013, Food chemistry.
[10] A. Charlton,et al. Identification of botanical biomarkers found in Corsican honey , 2010 .
[11] R. Consonni,et al. Quantification of Coffea arabica and Coffea canephora var. robusta in roasted and ground coffee blends. , 2013, Talanta.
[12] M. Tanokura,et al. (13)C NMR-based metabolomics for the classification of green coffee beans according to variety and origin. , 2012, Journal of agricultural and food chemistry.
[13] Maria Brígida dos Santos Scholz,et al. Discrimination of arabica coffee cultivars by electrospray ionization Fourier transform ion cyclotron resonance mass spectrometry and chemometrics , 2013 .
[14] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[15] Marc Meurens,et al. Chemical discrimination of arabica and robusta coffees by Fourier transform Raman spectroscopy. , 2005, Journal of agricultural and food chemistry.
[16] M. Barker,et al. Partial least squares for discrimination , 2003 .
[17] E. Becker,et al. Calibration of methanol and ethylene glycol nuclear magnetic resonance thermometers , 1979 .
[18] Lennart Eriksson,et al. Model validation by permutation tests: Applications to variable selection , 1996 .
[19] Emmanuel Mikros,et al. 1H NMR-based metabonomics for the classification of Greek wines according to variety, region, and vintage. Comparison with HPLC data. , 2009, Journal of agricultural and food chemistry.
[20] C. Pizarro,et al. Coffee varietal differentiation based on near infrared spectroscopy. , 2007, Talanta.
[21] M. Spraul,et al. NMR-Based Multi Parametric Quality Control of Fruit Juices: SGF Profiling , 2009, Nutrients.
[22] C. Máguas,et al. Stable isotope analysis for green coffee bean: a possible method for geographic origin discrimination. , 2009 .
[23] Kim-Anh Lê Cao,et al. ofw: An R Package to Select Continuous Variables for Multiclass Classification with a Stochastic Wrapper Method , 2008 .
[24] A. Smilde,et al. Assessing the statistical validity of proteomics based biomarkers. , 2007, Analytica chimica acta.
[25] Age K. Smilde,et al. UvA-DARE ( Digital Academic Repository ) Assessment of PLSDA cross validation , 2008 .
[26] M. Eberlin,et al. Arabica and robusta coffees: identification of major polar compounds and quantification of blends by direct-infusion electrospray ionization-mass spectrometry. , 2012, Journal of agricultural and food chemistry.
[27] Bum-Jin Lee,et al. Geographical and climatic dependencies of green tea (Camellia sinensis) metabolites: a (1)H NMR-based metabolomics study. , 2010, Journal of agricultural and food chemistry.
[28] Sastia Prama Putri,et al. Selection of discriminant markers for authentication of Asian palm civet coffee (Kopi Luwak): a metabolomics approach. , 2013, Journal of agricultural and food chemistry.
[29] J. M. González-Sáiz,et al. An evaluation of orthogonal signal correction methods for the characterisation of arabica and robusta coffee varieties by NIRS , 2004 .
[30] A. Materny,et al. Discrimination between Arabica and Robusta green coffee using visible micro Raman spectroscopy and chemometric analysis , 2011 .
[31] Károly Héberger,et al. Multivariate analysis of NMR fingerprint of the unsaponifiable fraction of virgin olive oils for authentication purposes , 2010 .
[32] P. Hildebrandt,et al. Discrimination of green arabica and Robusta coffee beans by Raman spectroscopy. , 2010, Journal of agricultural and food chemistry.
[33] Laura Ruth Cagliani,et al. NMR based geographical characterization of roasted coffee. , 2012, Talanta.
[34] Károly Héberger,et al. Virgin olive oil authentication by multivariate analyses of 1H NMR fingerprints and delta13C and delta2H data. , 2010, Journal of agricultural and food chemistry.
[35] S. Wold,et al. Some recent developments in PLS modeling , 2001 .
[36] C. Pizarro,et al. Mixture resolution according to the percentage of robusta variety in order to detect adulteration in roasted coffee by near infrared spectroscopy. , 2007, Analytica chimica acta.