Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6403098 | LWT - Food Science and Technology | 2013 | 8 Pages |
Abstract
⺠Use of UV-vis, NIR and MIR spectroscopy for detection of minced beef adulteration. ⺠Processing of spectral data separately or fused using PCA, LDA and PLS. ⺠Test of a variable selection method to improve the PLS performance. ⺠Good PLS models obtained with NIR and MIR data separately. ⺠NIR and MIR spectroscopy can be used to improve routine authentication analysis.
Keywords
SNVPLSNIRRMSECVRMSEPMIRATRPCAUV–visibleUV–VisStandard normal variateAttenuated total reflectancePrincipal component analysisData fusionChemometric techniquesPartial least squaresroot mean square error of predictionMeat adulterationcoefficient of determinationUV–vis spectroscopyIR spectroscopyNear infraredlatent variableroot mean square error of cross-validationmid infrared
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Food Science
Authors
Cristina Alamprese, Monica Casale, Nicoletta Sinelli, Silvia Lanteri, Ernestina Casiraghi,