简介：

简介：Theethanolcontentinethanol-gasolineisrespectivelydetectedbythefirst-orderderivativeUV/visabsorptionspectrum,thefirst-orderderivativenearinfrared(NIR)absorptionspectrumandtheinformationfusionmethod.Thebackwardintervalpartialleastsquares(BiPLS)algorithmisusedasthefeatureextractionmethod,whichisestablishedbythepartialleastsquares(PLS)regressionmodel.Basedontheinformationfusiontheory,thelowleveldatafusion(LLDF)andmid-leveldatafusion(MLDF)modelsareestablishedbythefirst-orderderivativeUV/visandNIRspectra.Theanalytical-resultsarecomparedwiththerelatedtextualreferences.Thereby,thesingle-spectralmodelbasedonthefirst-orderderivativeNIRabsorptionspectrumhastheoptimalresults,whereR^2p=0.9991andRMSEP=-0.3245,whiletheLLDFaftervectornormalization(LLDF-VN2)istheoptimalmulti-spectralfusionmodel,whereR^2p=0.9983andRMSEP=-0.4982.Theproposedmethodcanbeusedtodetecttheethanolcontentinethanol-gasolinerapidlyandprovidesabetterchoiceforthecomponentdetectioninmixedoils.