2008
DOI: 10.1021/ef800436p
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Study of Brazilian Gasoline Quality Using Hydrogen Nuclear Magnetic Resonance (1H NMR) Spectroscopy and Chemometrics

Abstract: The identification of gasoline adulteration by organic solvents is not an easy task, because compounds that constitute the solvents are already in gasoline composition. In this work, the use of hydrogen nuclear magnetic resonance (1H NMR) with a statistical approach for identifying gasoline adulteration by organic solvents is described. Both principal component analysis (PCA) and hierarchical cluster analysis (HCA) from NMR data of 47 commercial samples allowed the distinction between conform and nonconform sa… Show more

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Cited by 45 publications
(23 citation statements)
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“…The incremental linkage method (a sum-of-squares approach in calculating intercluster distances) was applied to generate clusters. 39) …”
Section: )mentioning
confidence: 99%
“…The incremental linkage method (a sum-of-squares approach in calculating intercluster distances) was applied to generate clusters. 39) …”
Section: )mentioning
confidence: 99%
“…Extracting desired information from a huge amount of data, chemometric methods can be applied to NMR data, and the emerging interest in quantitative NMR has recently increased the number of chemometric applications in this field [15]. Analytical methods developed by our group employing different techniques and multivariate calibration models have been applied to evaluate the quality of different fuels and biofuels [16][17][18].…”
Section: Introductionmentioning
confidence: 99%
“…However, chromatographic techniques are generally slow, time-consuming and expensive for the analysis of a large number of samples, making impracticable its in routine application. Spectroscopic methods are quite suitable for such determinations [18][19][20], in special, nuclear magnetic resonance (NMR) [21][22][23][24][25][26]. 1 H NMR technique is fast and can be easily automated, allowing the analysis of a large number of samples in a short period of time.…”
Section: Introductionmentioning
confidence: 99%