02390naa a2200313 a 450000100080000000500110000800800410001902400360006010000180009624501360011426000090025050001070025952013010036665300250166765300260169265300170171865300260173565300310176165300370179265300330182970000140186270000170187670000160189370000270190970000180193670000200195470000270197477300750200110174672019-09-24       2014    bl uuuu     u00u1 u    #d7 a10.1016/j.jaap.2014.08.0012DOI1 aGALETTA, M.A.  aChemometric appraisal of lignin pyrolytic assemblages from Eucalyptus woods relevant for pulping in Uruguay.h[electronic resource]  c2014  aArticle history: Received 5 January 2014 // Accepted 2 August 2014 // Available online 13 August 2014.  aAnalytical pyrolysis (Py-GC/MS) at 500°C was applied to study wood composition of Eucalyptus species(Eucalyptus grandis, Eucalyptus dunnii and Eucalyptus benthamii) which are relevant for pulping inUruguay. Multivariate data treatments mainly principal component analysis and discriminant analy-sis were used to explore differences between the original wood cultivars. Multivariate analyses withautomatic backwards variable selection indicated that simplified methoxyphenol patterns (up to 10compounds) are sufficient for wood discrimination in terms of species and geographical origin butalso with purposes of forecasting the ease of delignification of the resulting pulps measured as activealkali. No additional chemotaxonomical accuracy was achieved when the data sets were enlarged withcarbohydrate-derived products. On the other side, discriminant or forecasting models (partial leastsquares and multiple linear regression) were much less significant when based on individual diag-nostic compounds, groups of compounds, or the classical syringyl-to-guaiacyl (S/G) ratio. Principalcomponent analysis indicated that the variability in lignin composition due to bioclimatic variations(spatial replications) was more significant than that due to phylogenetic differences (species andcultivars).  aANALYTICAL PYROLYSIS  aDISCRIMINANT ANALYSIS  aFORESTACIÓN  aLIGNIN METHOXYPHENOLS  aMULTIPLE REGRESSION MODELS  aPARTIAL LEAST SQUARES REGRESSION  aPRINCIPAL COMPONENT ANALYSIS1 aREINA, L.1 aRESQUÍN, F.1 aMANTERO, C.1 aGONZÁLEZ-PÉREZ, J.A.1 aALMENDROS, G.1 aMENÉNDEZ, M.P.1 aGONZÁLEZ-VILADA, F.J.  tJournal of Analytical and Applied Pyrolysis, 2014gv. 109, p. 296-303.