Abstract
Despite the fact that there are many works treating new analytical approaches to monitor the transesterification reaction to produce biodiesel, only a few of them are able to quantify the minority, but important compounds, such as monoglyceride (MG) and diglyceride (DG), directly in the reaction medium for online quantification. Overcoming the lack of analytical applications in the biodiesel production, the present work proposes a new utilization of low-field proton nuclear magnetic resonance (LF-1H NMR) and near-infrared (NIR), applying Partial Least Squares (PLS) regression models, for the online monitoring of fatty acid methyl esters, triglycerides, diglycerides and monoglycerides. The compounds presented acceptable errors of prediction employing developed PLS models for the range of concentration, usually presented during the whole reaction time, except for the 1,2-diglyceride (1,2-DG).
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
