INQUISUR 21779
INSTITUTO DE QUIMICA DEL SUR
Unidad Ejecutora - UE
artículos
Título:
? SCREENING ANALYSIS OF BIODIESEL FEEDSTOCK USING UV?VIS, NIR AND SYNCHRONOUS FLUORESCENCE SPECTROMETRIES AND THE SUCCESSIVE PROJECTIONS ALGORITHM
Autor/es:
INSAUSTI; GOMES; CRUZ; M. PISTONESI, ; ARAUJO; GALVAO; PEREIRA; . FERNÁNDEZ BAND
Revista:
TALANTA
Editorial:
ELSEVIER SCIENCE BV
Referencias:
Lugar: Amsterdam; Año: 2012 vol. 97 p. 579 - 583
ISSN:
0039-9140
Resumen:
This paperinvestigatestheuseofUV?vis,nearinfrared(NIR)andsynchronousfluorescence(SF)
spectrometriescoupledwithmultivariateclassificationmethodstodiscriminatebiodieselsampleswith
respecttothebaseoilemployedintheirproduction.Morespecifically,thepresentworkextends
previousstudiesbyinvestigatingthediscriminationofcorn-basedbiodieselfromtwootherbiodiesel
types (sunflowerandsoybean).Twoclassificationmethodsarecompared,namelyfull-spectrumSIMCA
(soft independentmodellingofclassanalogies)andSPA-LDA(lineardiscriminantanalysiswith
variablesselectedbythesuccessiveprojectionsalgorithm).Regardlessofthespectrometrictechnique
employed,full-spectrumSIMCAdidnotprovideanappropriatediscriminationofthethreebiodiesel
types. Incontrast,allsampleswerecorrectlyclassifiedonthebasisofareducednumberofwavelengths
selectedbySPA-LDA.ItcanbeconcludedthatUV?vis,NIRandSFspectrometriescanbesuccessfully
employedtodiscriminatecorn-basedbiodieselfromthetwootherbiodieseltypes,butwavelength
selectionbySPA-LDAiskeytotheproperseparationoftheclasses.
