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Thermogravimetry and Viscometry for Assessing the Ester Content (FAME and FAEE)

Biodiesel is a biofuel that is of great importance; its good performance is associated with its purity mainly related to a high content of fatty acid alkyl esters, quantified by gas chromatography (GC), liquid chromatography (LC), hydrogen nuclear magnetic resonance (1H-NMR) and infrared (FTIR) spectroscopy. However, these methodologies take long a time and are relatively expensive. Herein, thermogravimetric analysis (TGA) and viscometry (VA) are studied as alternative methods for the quantification of alkyl esters (FAME and FAEE). Analytical curves from the viscosity and mass loss percentage (TGA) as a function of methyl and ethyl ester levels on binary mixtures (soybean biodiesel/soybean oil) were constructed. The correlations experimentally obtained were presented and used to quantify biodiesel content in the products of ethanolysis and methanolysis and in biodiesel/vegetable oil mixtures of different feedstocks. This comparative study confirmed that both alternative methods are adequate to be used. A single viscometry analytical curve could be used to analyze products, obtained by different oleaginous plants, if their oils exhibit similar viscosities. Viscometry can be the most suitable alternative technique because it is portable, fast, less sensitive to the presence of intermediates than thermogravimetric analysis, easy to work with and very inexpensive.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).25 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
