2008
DOI: 10.1080/10916460600705824
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Near Infrared Spectroscopic Determination of Diesel Fuel Parameters Using Genetic Multivariate Calibration

Abstract: The use of full spectral region from near infrared spectroscopic analysis does not always end up with a good multivariate calibration model as many of the wavelengths do not contain necessary information. Due to the complexity of the spectra, some of the wavelengths or regions may, in fact, disturb the modelbuilding step. Genetic algorithms are one of the useful tools for solving wavelength selection problems and may improve the predictive ability of conventional multivariate calibration methods. This study de… Show more

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Cited by 12 publications
(2 citation statements)
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“…[28][29][30][31][32][33][34][35] In this study, FTIR spectroscopy coupled with a three-reflection diamond attenuated total reflectance (ATR) accessory was used to determine honey adulteration based on pure and adulterated honey samples synthetically prepared in the laboratory with three different adulterants (beet sugar, corn syrup and water). A genetic-algorithm-based inverse least squares (GILS) multivariate calibration method [36][37][38] was used to develop calibration models with pure and synthetically adulterated honey samples. In order to study the predictive performance of the GILS method, the partial least squares (PLS) method was also used to develop calibration models with the same data set, and these models were tested with 100 pure honey samples.…”
Section: Introductionmentioning
confidence: 99%
“…[28][29][30][31][32][33][34][35] In this study, FTIR spectroscopy coupled with a three-reflection diamond attenuated total reflectance (ATR) accessory was used to determine honey adulteration based on pure and adulterated honey samples synthetically prepared in the laboratory with three different adulterants (beet sugar, corn syrup and water). A genetic-algorithm-based inverse least squares (GILS) multivariate calibration method [36][37][38] was used to develop calibration models with pure and synthetically adulterated honey samples. In order to study the predictive performance of the GILS method, the partial least squares (PLS) method was also used to develop calibration models with the same data set, and these models were tested with 100 pure honey samples.…”
Section: Introductionmentioning
confidence: 99%
“…Since the spectral assignment is a very difficult problem, there are advantages in applying GAs to automate this tedious process [49][50][51][52], which was traditionally done by the visual identification of patterns. In addition, GAs have been successfully applied to fit other spectroscopic data: nuclear magnetic resonance [53], fluorescence/absorption spectra in polyatomic molecules [54], Mössbauer spectroscopy [55], multi-objective x-ray spectroscopic analysis [56], powder electron paramagnetic resonance (EPR) spectra [57] and near-infrared spectroscopic determination of diesel fuel parameters [58].…”
Section: Introductionmentioning
confidence: 99%