dc.contributorNogueira, Ana Rita de Araújo
dc.contributorhttp://lattes.cnpq.br/7034773971317045
dc.creatorSousa, Jonas da Silva
dc.date.accessioned2016-10-20T19:28:07Z
dc.date.accessioned2019-05-28T03:35:29Z
dc.date.available2016-10-20T19:28:07Z
dc.date.available2019-05-28T03:35:29Z
dc.date.created2016-10-20T19:28:07Z
dc.date.issued2016-03-21
dc.identifierhttps://repositorio.ufscar.br/handle/ufscar/8051
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/2854397
dc.description.abstractThe Brazilian cattle have shown promise prominence in the international market compared to other commodities. It already knows the important role of fatty acids in the complimentarily of human nutrition. On the other hand, studies have linked the consumption of beef with increasing rate of diseases associated with high levels of "bad" cholesterol (LDL) in the blood. Because of these two aspects on the topic meat (nutritional value and human health), it is seen necessary to determine the levels oftrans fatty acids in meat. Among the methods for analysis of total lipids and lipid profile, stands out the extraction of fat and chromatography, respectively. In this project was proposed to develop multivariate calibration models for the analysis of total lipids and lipid profile with the use of near-infrared spectroscopy in beef samples which the levels were previously determined. Eighteen properties were analyzed, including: total lipids and myristic fatty acids, pentadecylic, palmitic, margaric, stearic, palmitoleic, oleic, elaidic, linoleic, α-linolenic and families of fatty acids with branched, saturated, monounsaturated (cis), conjugated linoleic (cis, trans), and omega 3 and 6 polyunsaturated. We used 127 bovine meat samples from the calibration steps and internal validation (2/3 to 1/3 calibration and validation for internal and 32 external validation samples. We used the PLSR method for the construction of multivariate models. Flesh spectra were extended from 1111 to 1937, and from 2016 to 2500 nm regions, and regions concerning water and noise judged as interfering in the calibration process were removed during the models construction. We evaluated the performance of the models based on the applied pre-treatments (smoothing, first derivative Savitzky-Golay, SNV), the number of latent variables, consistency, SEC, SEP and determination coefficients (R2 cal/val). The models chosen as having better predictive capacity were those of total lipids, myristic acid, palmitic acid, margárico and saturated fatty acids, demonstrating that the NIRS has a high potential for the quantification of lipid constituents of the beef.
dc.languagepor
dc.publisherUniversidade Federal de São Carlos
dc.publisherUFSCar
dc.publisherPrograma de Pós-graduação em Química
dc.publisherCâmpus São Carlos
dc.rightsAcesso aberto
dc.subjectCarne bovina
dc.subjectQuimiometria
dc.subjectPLS
dc.subjectInfravermelho
dc.subjectBeef
dc.subjectChemometrics
dc.subjectPLS
dc.subjectInfrared
dc.titleDesenvolvimento de modelos de calibração multivariada em espectroscopia de infravermelho próximo para ácidos graxos em amostras de carne bovina
dc.typeTesis


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