Modelling of retention behaviour of solutes in micellar liquid chromatography

Garcı́a-Alvarez-Coque, M.C.; Torres-Lapası́o, J.R.; Baeza-Baeza, J.J.

doi:10.1016/s0021-9673(97)00051-4

Cited by 92 publications

(33 citation statements)

References 40 publications

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“…While retention of more polar compounds is determined by their partitioning from the bulk aqueous phase into micelle and alkyl stationary phase, the more hydrophobic compounds might be directly transferred from micelles in the mobile phase into the stationary phase [13,14].…”

Section: Principles Of Separation By Mlcmentioning

confidence: 99%

Micellar Liquid Chromatography from Green Analysis Perspective

2015

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Micellar liquid chromatography (MLC) is a simple well-established branch of high-performance liquid chromatography. The applications of MLC for the determination of numerous compounds in pharmaceutical formulations, biological samples, food, and environmental samples have been growing very rapidly. MLC technique has several advantages over other techniques, such as simultaneous separation of charged and uncharged solutes, rapid gradient capability, direct on-column injection of physiological fluids, unique separation selectivity, high reproducibility, robustness, enhanced luminescence detection, low cost, and safety. This review is devoted to the evaluation of the agreement of MLC with the principles of green chemistry which recently represents a universal trend. Also, it provides an overview on the basics of MLC, in addition to a survey of MLC methods published in the past five years for the assay of various compounds in different matrices.

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Section: Principles Of Separation By Mlcmentioning

confidence: 99%

Micellar Liquid Chromatography from Green Analysis Perspective

2015

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“…A polynomial model that yields successful descriptions in hybrid micellar mobile phase is the following [21,22,24]:…”

Section: Description Of Retentions Of Aromatic Diamines In Hscmentioning

confidence: 99%

“…In MLC, several empirical or mechanistic retention models have been developed which describe the retention behavior. In any case, the models allow a reliable optimization of the separation conditions based on a reduced number of experiments [21][22][23][24][25]. In this study, the performance of the several hyperbolic and logarithmic empirical retention models, fitted with the retention data of five aromatic diamines (Fig.…”

Section: Introductionmentioning

confidence: 97%

Evaluation of Some Empirical Retention Models for High Submicellar Liquid Chromatographic Separation of Aromatic Diamines

Hadjmohammadi¹,

Nazari²

2015

Acta Chromatographica

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Summary. Description of the retention of five aromatic diamines in high submicellar liquid chromatography was carried out through several hyperbolic and logarithmic retention models using the retention data of mobile phases consisting of sodium dodecyl sulfate (SDS) (0.09-0.15 M) and methanol (50-70% v/v) at pH 3. Among the investigated models, the logarithmic retention modelshowed the best prediction capability and used to predict the solutes retention factors. The mean relative error of the prediction of retention factors of five aromatic diamines in the selected variables space was lower than 0.5%. Based on the best retention model, a grid search program was used to predict the retention times of each solute for all combinations of SDS and methanol concentrations in the factor space. In order to find optimal separation condition, two different chromatographic goals, analysis time and retention differences between adjacent peaks, were evaluated simultaneously using Derringer's desirability function for each mobile phase composition. At the optimal conditions (0.143 M SDS, 53% v/v methanol), a good agreement was observed between predicted and experimental values of the retention times (R 2 = 0.9999 and mean relative error of 0.96%).

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“…The accurate prediction of the retention behaviour, based on a proven model, can speed up the process of finding the optimal composition of the mobile phase for a given compound. The following equation has proved to be adequate for describing the retention of many compounds in MLC with hybrid mobile phases, with errors below 2% [32].…”

Section: Optimization Strategy and Mobile Phase Selectionmentioning

confidence: 99%

Determination of Putrescine and Tyramine in Fish by Micellar Liquid Chromatography with UV Detection Using Direct Injection

Chin-Chen¹

2011

TOACJ

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This paper shows how fish samples could be directly injected into a chromatograph, without any previous extraction, using micellar liquid chromatography, taking as an example the determination of two biogenic amines: putrescine and tyramine, derivatized with 3,5-dinitrobenzoyl chloride. First, the method has been optimized, using an interpretive model, and the best conditions for analysis were: mobile phase containing 0.15 M SDS-6% (v/v) butanol-pH 7, C18 column (125 0.46 mm, 5 μm particle size), UV detection of derivatives set at 260 nm. Second, the method has been validated using spiked samples following the guidelines proposed by the US Food and Drug Administration: linear in the range from 0.5 to 1000 ppm (r 2 >0.999), detection limits of 30 and 40 ppb for putrescine and tyramine, respectively, a 500 ppb limit of quantification in both cases, intra-and inter-day precision (RSD) below 2%, and accuracy between 99.5% and 102.7%. The method is adequate for routine analysis in the determination of these compounds in fish sauces.

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Modelling of retention behaviour of solutes in micellar liquid chromatography

Cited by 92 publications

References 40 publications

Micellar Liquid Chromatography from Green Analysis Perspective

Micellar Liquid Chromatography from Green Analysis Perspective

Evaluation of Some Empirical Retention Models for High Submicellar Liquid Chromatographic Separation of Aromatic Diamines

Determination of Putrescine and Tyramine in Fish by Micellar Liquid Chromatography with UV Detection Using Direct Injection

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