English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/94435
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE
Exportar a otros formatos:

Title

Visible and NIR Spectroscopy to assess biodiesel quality: Determination of alcohol and glycerol traces

AuthorsDorado, M. Pilar; Pinzi, Sara; Haro Bailón, Antonio de ; Font, Rafael ; García Olmo, Juan
KeywordsVisible region
Glycerol detection
Methanol detection
Biodiesel standard
NIRS
Issue DateJun-2011
PublisherElsevier
CitationFuel 90(6): 2321-2325 (2011)
AbstractBiodiesel quality control is of relevant importance as biodiesel properties influence diesel engine performance. In the present work, the benefits of the use of visible and near-infrared Spectroscopy (NIRS) as a technique for screening undesirable contaminants, i.e. methanol and glycerol content in biodiesel are presented. Excess of methanol decreases heating value and flash point and increases carbon deposits, while the presence of glycerol may cause injector tip coking and deposits in the combustion chamber. Biodiesel samples contaminated with different amounts of methanol and glycerol were scanned by NIRS. Their NIR spectra were acquired at 2-nm intervals over a wavelength range from 400 to 2500 nm (visible plus near-infrared regions). First derivative of the spectra were calculated and correlated to the raw optical data by means of modified partial least-squares (MPLS) regression. First derivative equation of the optical data, pretreated by standard normal variate (SNV) and De-trending (DT) transformations, showed a coefficient of determination r2 in the cross-validation step of 0.99 and 0.81, for the samples contaminated with methanol and glycerol, respectively. Also, the standard deviation to standard error of cross-validation ratio (RPD) was 10.0 and 2.5, respectively. These statistics are indicative of the high capacity of prediction of the equations for methanol content and acceptable for glycerol content. Visible spectra also showed differences related to the samples, thus indicating it could serve to determine the presence of these contaminants. The use of NIRS technology provides a trustworthy and low-cost method to determine the presence of undesirable amounts of methanol and glycerol. It also offers an important saving of time (each analysis requires less than two minutes). © 2011 Elsevier Ltd. All rights reserved.
URIhttp://hdl.handle.net/10261/94435
DOIhttp://dx.doi.org/10.1016/j.fuel.2011.02.015
Identifiersdoi: 10.1016/j.fuel.2011.02.015
issn: 0016-2361
Appears in Collections:(IAS) Artículos
Files in This Item:
File Description SizeFormat 
accesoRestringido.pdf15,38 kBAdobe PDFThumbnail
View/Open
Show full item record
Review this work
 


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.