基于LIF与PLS-DA的高品质食用油掺伪鉴别

打开文本图片集

中图分类号：TS207.3 文献标识码：A DOI：10.7535/hbkd.2026yx01004

Abstract：This study proposed a method for identifyingadulterationin high-quality edibleoils bycombining laser-induced fluorescence（LIF）technologywithpartialleastsquares-discriminantanalysis（PLS-DA），aimingtoquicklydetectlowquality edibleoilsinthemarket.Firstly，alaboratory-builtLIFsystem wasused tocolectfluorescence spectral dataofoliveoil， sesame oil，peanut oil，and theiradulterated samples.Subsequently，PLS-DAwasemployed toconstructadulteration identification models for oliveoil，sesameoil，and peanutoil respectively.Finaly，the performanceof these models was evaluatedusingapredictionset.TheresultsindicatethatthePLS-DAmodelcanacuratelycapturethediferential characteristics in fluorescence spectrabetweeadulterated samplesandauthenticsamples.Under theverificationof the experimentally obtained data，a 100% correct classification rate is achieved. This method enables high-precision identification of adulteratededibleoil，providingascientificidentifcationtoolforfoodsafetysupervisionandoferssupportfortechnical research.

Keywords：spectroscopy；edible oil adulteration；LIF；PLS-DA；food safety

食用油在烹饪过程中的广泛应用凸显了其质量和真实性对公共健康的重要意义[1-2]。（剩余13238字）