High-Performance Liquid Chromatography in Group-Type Separation and Technical or Process Analytics of Petroleum Products

Kamiński, Marian; Kartanowicz, Rafał; Gilgenast, E.; Namieśnik, Jacek

doi:10.1080/10408340500304024

Cited by 46 publications

(46 citation statements)

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“…However, because of reproducibility problems, for example, due to traces of water, because of potential irreversible sorption of polar compounds [140], and because of limited selectivity, they were replaced more and more by organic modified silica phases. Although not performed in the context of toxicant identification, fractionation procedures for mixtures extracted from crude oils may be helpful for EDA by providing NP-LC group separation techniques for resins, nonpolar compounds, saturated carboxylic acids, phenols, and polyfunctional acids from petroleum [164][165][166]. No procedure for selectivity-based stationary phase selection has been reported.…”

Section: Application In Edamentioning

confidence: 99%

Effect-Directed Analysis of Complex Environmental Contamination

Brack¹

2011

The Handbook of Environmental Chemistry

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Section: Application In Edamentioning

confidence: 99%

Effect-Directed Analysis of Complex Environmental Contamination

Brack¹

2011

The Handbook of Environmental Chemistry

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“…28 These indices, e.g., the average molecular weight of the mixture, some points of a boiling point distillation curve, the specific density, the global PIONA weight fractions, etc., are determined by means of relatively simple and standardized analytical procedures. 43 Several global characterization methods have been developed based on gas chromatography (GC), 44 high-performance-liquid-chromatography (HPLC), 45 supercritical fluid chromatography (SFC), 46 mass spectroscopy (GC-MS), 47 comprehensive 2D GC (GC Â GC) for complete characterization of complex mixtures 48 or for trace analysis, e.g., quantification of the sulfur amount, 49 etc. Also Fourier Transform-near infrared (FT-NIR) 50 and FT-nuclear magnetic resonance (FT-NMR), 51,52 can be used to determine global characteristics of petroleum fractions.…”

Section: Introductionmentioning

confidence: 99%

Molecular reconstruction of complex hydrocarbon mixtures: An application of principal component analysis

Pyl¹,

Reyniers²,

Marin³

2010

AIChE Journal

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in Wiley Online Library (wileyonlinelibrary.com).Three methods for reconstruction of the detailed molecular composition of complex hydrocarbon mixtures, based on their global properties, are compared: a method based on the Shannon entropy criterion, an artificial neural network and a multiple linear regression model. In spite of the broad range of naphthas included in the training set, the application range of the last two methods proved to be limited. Principal component analysis allowed to identify their three-dimensional ellipsoidal application range. In this subspace, the artificial neural network is more accurate than the multiple linear regression model and the Shannon entropy method. However, outside its application range, the performance of the neural network, as well as the regression model, decreases drastically. In contrast, the performance of the Shannon entropy method is not influenced by the characteristics of the considered naphtha, but rather depends on the number of available commercial indices. The Shannon entropy method yields comparable results to the artificial neural network, provided that a sufficient amount of distillation data is available to supply information on the carbon number distribution. Combining the reconstruction methods with a fundamental simulation model illustrates the necessity of having accurate feedstock reconstruction methods since they allow to capture the full power of fundamental simulation models for the simulation of industrial processes. V V C 2010 American Institute of Chemical Engineers AIChE J, 56: 3174-3188, 2010

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“…produces was presented byKaminski et al (2005). Although normal-phase HPLC was frequently used for group-type separation, the group-type separation of petroleum compounds of different volatilities could be established using HPLC multicolumn distribution Water Environment Research, Volume 78, Number 10-Copyright © 2006 Water Environment Federation 1706 systems.…”

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confidence: 99%