期刊论文详细信息
FUEL 卷:283
Monitoring biodiesel and its intermediates in transesterification reactions with multivariate curve resolution alternating least squares calibration models
Article
Furtado, Weronica de Lima1  Costa Corgozinho, Camila Nunes1  Tauler, Roma2  Sena, Marcelo Martins1,3 
[1] Univ Fed Minas Gerais UFMG, Inst Ciencias Exatas ICEx, Dept Quim, BR-31270901 Belo Horizonte, MG, Brazil
[2] CSIC, IDAEA, Dept Environm Chem, C Jordi Girona 18 26, Barcelona 08034, Spain
[3] Inst Nacl Ciencia & Tecnol Bioanalit, BR-13083970 Campinas, SP, Brazil
关键词: MCR-ALS;    Correlation constraint;    Chemometrics;    Transesterification reaction;    Biofuel;    FTIR;   
DOI  :  10.1016/j.fuel.2020.119275
来源: Elsevier
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【 摘 要 】

The monitoring of biodiesel production processes is currently performed by methods requiring high reagent consumption and long response times. Aiming to overcome these drawbacks, this article developed chemometric models combining principal component analysis (PCA), multivariate curve resolution alternating least squares (MCR-ALS) and mid infrared spectroscopy to determine simultaneously the concentrations of the main components, methyl esters and triglycerides, along transesterification reactions. This methodology also tried to model the intermediates (fatty acids plus monoglycerides, and diglycerides), thus providing semi-quantitative predictions for these components. These reactions were carried out in different experimental conditions according to a factorial design with two factors, the batch of soybean oil (raw material) and the alcohol:oil molar ratio. The concentration values estimated by high performance liquid chromatography (HPLC), as the reference method, were the inputs for the correlation constraint used as a key step in the multivariate calibration MCR-ALS models. The spectral profiles recovered for the methyl esters and for the triglycerides have shown high correlations (greater than 0.985) in comparison to the reference spectra. In addition, the spectra calculated for fatty acids, monoglycerides and diglycerides showed absorption bands characteristic of functional groups present in these molecules, mainly the hydroxyl and carbonyl stretching bands. The root mean square errors of calibration and prediction estimated for the triglycerides and for the methyl esters were within the range from 1.9% to 6.3%.

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