Easy to use spectrophotometric method for determination of aromatic diamines in biodiesel samples

Batista, Luciano N.; Silva, Viviane F.; Fonseca, Mauricio G.; Pissurno, E.C.G.; Daroda, Romeu J.; Cunha, Valnei Smarçaro da; Kunigami, Claudete Norie; Maria, Luiz Cláudio de Santa

doi:10.1016/j.microc.2012.03.023

Cited by 9 publications

(2 citation statements)

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“…All raw products were provided by the Laboratory of Engines and Fuels (Lamoc) in the National Institute of Metrology, Quality and Technology (Inmetro), RJ, Brazil. Oil seed extraction and biodiesel synthesis were carried out by Lamoc following the method used in [20]. A cubic D-optimal mixture design was developed with Design-Expert s (Stat-Ease Inc., Minneapolis, MN, USA) software to set the composition of the samples.…”

Section: Raw Materials and Sample Preparationmentioning

confidence: 99%

“…The aromatic amine N,N 0 -Di-sec-butyl-p-phenylenediamine (PDA) has been proven to be an efficient antioxidant and a versatile artificial marker for biodiesel and has been analyzed by easy ambient sonicspray ionization mass spectrometry (EASI-MS) [19]. Peaks in the mid infrared region were also used for calibration and determination of PDA antioxidant in sunflower biodiesel mixtures [20].…”

Section: Introductionmentioning

confidence: 99%

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Application of correlation constrained multivariate curve resolution alternating least-squares methods for determination of compounds of interest in biodiesel blends using NIR and UV–visible spectroscopic data

Oliveira

Lima

Tauler

et al. 2014

Talanta

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This study describes two applications of a variant of the multivariate curve resolution alternating least squares (MCR-ALS) method with a correlation constraint. The first application describes the use of MCR-ALS for the determination of biodiesel concentrations in biodiesel blends using near infrared (NIR) spectroscopic data. In the second application, the proposed method allowed the determination of the synthetic antioxidant N,N'-Di-sec-butyl-p-phenylenediamine (PDA) present in biodiesel mixtures from different vegetable sources using UV-visible spectroscopy. Well established multivariate regression algorithm, partial least squares (PLS), were calculated for comparison of the quantification performance in the models developed in both applications. The correlation constraint has been adapted to handle the presence of batch-to-batch matrix effects due to ageing effects, which might occur when different groups of samples were used to build a calibration model in the first application. Different data set configurations and diverse modes of application of the correlation constraint are explored and guidelines are given to cope with different type of analytical problems, such as the correction of matrix effects among biodiesel samples, where MCR-ALS outperformed PLS reducing the relative error of prediction RE (%) from 9.82% to 4.85% in the first application, or the determination of minor compound with overlapped weak spectroscopic signals, where MCR-ALS gave higher (RE (%)=3.16%) for prediction of PDA compared to PLS (RE (%)=1.99%), but with the advantage of recovering the related pure spectral profile of analytes and interferences. The obtained results show the potential of the MCR-ALS method with correlation constraint to be adapted to diverse data set configurations and analytical problems related to the determination of biodiesel mixtures and added compounds therein.

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Section: Raw Materials and Sample Preparationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%