Função de desejabilidade na qualidade de biodiesel a partir das misturas de biodieseis de mamona e amendoim

Abstract

With the great demand for renewable energy sources, biodiesel stands out as promising in this business presenting character of sustainability, it is promising in this area and it is recommended by public policies its use with diesel, but its quality is of utmost importance since, with tamper product quality result in serious damage to the end consumer, damage to equipment as well as contributing to pollution. Therefore, this study aimed to use tools that help and contribute in determining the physical-chemical parameters of blends of biodiesels castor and peanut, facilitating adoption of techniques to better performance of its implementation in the laboratory activities and adoption of non-destructive techniques , it was soon made conventional chemical physical readings and applied to these one desirability function and chemometric techniques with readings in the NIR and later applied the Ispa-PLS algorithm to determine the best conditions of mixtures of biodiesels. According to the techniques used, it can be determined that the best conditions for biodiesel blends, castor peanuts were to mix consisting of 25% castor oil 75% peanut, with a = 0.67 and D according to the algorithm iSPA- PLS were the best conditions (MSC) global PLS, with a RMSECV 0.16 and 0.88 R2 for predicting with 9 latent variables. Thus, it can be concluded that the proposed methodologies are promising analytical tools for monitoring biodiesel quality in terms of their physical and chemical parameters.