Chemical interactions in complex matrices: Determination of polar impurities in biofuels and fuel contaminants in building materials
Abstract
The solutions to several real-life analytical and physical chemistry problems, which involve chemical interactions in complex matrices are presented. The possible interferences due to the analyte-analyte and analyte-matrix chemical interactions were minimized on each step of the performed chemical analysis. Concrete and wood, as major construction materials, typically become contaminated with fuel oil hydrocarbons during their spillage. In the catastrophic scenarios (e.g., during floods), fuel oil mixes with water and then becomes entrained within the porous structure of wood or concrete. A strategy was proposed for the efficient extraction of fuel oil hydrocarbons from concrete to enable their monitoring. The impacts of sample aging and inundation with water on the extraction efficiency were investigated to elucidate the nature of analytematrix interactions. Two extraction methods, 4-days cold solvent extraction with shaking and 24-hours Soxhlet extraction with ethylacetate, methanol or acetonitrile yielded 95-100 % recovery of fuel oil hydrocarbons from concrete. A method of concrete remediation after contamination with fuel oil hydrocarbons using activated carbon as an adsorbent was developed. The 14 days remediation was able to achieve ca. 90 % of the contaminant removal even from aged water-submerged concrete samples. The degree of contamination can be qualitatively assessed using transport rates of the contaminants. Two models were developed, Fickian and empirical, to predict long-term transport behavior of fuel oil hydrocarbons under flood representative scenarios into wood. Various sorption parameters, including sorption rate, penetration degree and diffusion coefficients were obtained. The explanations to the observed three sorption phases are provided in terms of analyte-matrix interactions. The detailed simultaneous analysis of intermediate products of the cracking of triacylglycerol oils, namely monocarboxylic acids, triacyl-, diacyl- and monoacylglycerols was developed. The identification and quantification of analytes were performed using a 15-m high temperature capillary column (DB-1HT) with a GC coupled to both flame ionization and mass spectrometric detectors. To eliminate discrimination of low or high molecular weight species, programmed temperature vaporization (PTV) injection parameters were optimized using design of experiments methodology. Evaluation of the column temperature program and MS parameters allowed achieving separation of majority of target compounds based on their total number of carbon atoms, regioisomerization and, to some extent, degree of unsaturation.
- Publication:
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Ph.D. Thesis
- Pub Date:
- 2011
- Bibcode:
- 2011PhDT.......320B
- Keywords:
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- Chemistry, Analytical;Chemistry, Physical;Engineering, Materials Science