Prediction of Concentration of Animal Fat in Mixture with Vegetable Oil by Multivariate Calibration Associated with Spectrofluorimetry

作     者：Marilena Meira Cristina M.Quintella Erika Mde O.Ribeiro Alexandre K.Guimaraes Mariana Andrade Santos Gabriela Silva Cerqueira Alexandre Lopes Del Cid Saionara Luna Weidson Leal Silva 

作者机构：Instituto de EducacaoCiencia e Tecnologia da BahiaCampus de Simoes FilhoSimoes FilhoBrasil Instituto de QuímicaUniversidade Federal da BahiaCampus de OndinaSalvadorBrasil 

出 版 物：《American Journal of Analytical Chemistry》 (美国分析化学（英文）)

年 卷 期：2013年第4卷第2期

页      面：99-103页

学科分类：07[理学] 0703[理学-化学] 

主　　题：Biodiesel Vegetable Oil Animal Fat Spectrofluorimetry PLS 

摘      要：Total spectrofluorimetry associated with Principal Component Analysis (PCA) was used to discriminate samples of vegetable oil and animal fat. In addition, a multivariate calibration model was developed that combines spectroflurimetry with Partial Least Squares (PLS) for prediction of concentration of animal fat in mixture with vegetable oil. The multivariate calibration model had an R2 value of 0.98098, which indicates the accuracy of the model. This method has potential application in the control of quality of raw material for production of biodiesel. The control of the concentration of animal fat is important because animal fat is more susceptible to oxidation than vegetable oil. Furthermore, high concentrations of animal fats may increase electricity costs for biodiesel production due to the high melting points of saturated fats that solidify at room temperature and cause the fouling and clogging of pipes.