Retention models of capacity factor with different compositions of organic modifier in RP-HPLC

Lee, Youn-Woo; So, Myoung Seup; Lee, Ju Weon; Chung, Sung Taik; Row, Kyung Ho

doi:10.1007/bf02706024

Cited by 19 publications

(7 citation statements)

References 8 publications

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“…It can be observed that the change in ψ values from 0 to 0.25% resulted in faster elution of β-carotene. This is due to the increase in strength of mobile phases by increasing in 2-propanol concentration in methanol, in which its strength is directlyrelated to its polarity [5,[13][14][15][16]. From the observation, the different values of a were found at 25 and 35 o C, and the difference was also found for the values of b at these temperatures.…”

Section: Resultsmentioning

confidence: 88%

Effects of Mobile Phase Composition as a Function of Temperature on Isocratic Elution Behavior of β-carotene in Revered-Phase Liquid Chromatographic Systems

Khamkaew¹

2017

IJPMBS

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Section: Resultsmentioning

confidence: 88%

Effects of Mobile Phase Composition as a Function of Temperature on Isocratic Elution Behavior of β-carotene in Revered-Phase Liquid Chromatographic Systems

Khamkaew¹

2017

IJPMBS

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“…Row et al reported that the retention model, Equation (2), is not suitable for application to some mobile phase conditions with a low content of organic modifier. 5,6 With low organic modifier content, the calculated retention factors from Equation (2) have much larger errors compared to conditions with a high content of organic modifier in the reversed phase condition. To reduce these errors, a dwindling rate parameter is considered to regulate two parameters, k w and S, of Equation (2).…”

Section: Retention Modelsmentioning

confidence: 97%

“…To overcome this problem, Row et al proposed a Langmuir-type retention model. 5,6 It is important to predict the retention factors of solutes because the mobile phase composition is usually changed by the diluted content of organic modifier when gradient elution is used for the analysis. Many researchers have attempted to predict the retention time in gradient elution liquid chromatography.…”

Section: Introductionmentioning

confidence: 99%

Prediction of the Gradient Retention Times of Purine Compounds in Reversed Phase High Performance Liquid Chromatography

Lee

Row

2008

Journal of Liquid Chromatography & Related Technologies

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Various retention models have been developed and adopted to predict the retention behaviors of solutes in high performance liquid chromatography. Although the retention times can be successfully predicted in a gradient elution, it is difficult to predict the fundamental parameters of the eluted peaks, such as the number of theoretical plates, the resolution between neighboring peaks, as well as asymmetry factors. Thus far, the Snyder retention model has widely been used to predict the retention behavior in both isocratic and gradient conditions. However, it has a critical defect in that it cannot closely follow the retention behaviors of solutes when a relatively low content of organic modifier is used in the mobile phase. This is a result of the nonlinear relationship between the logarithm value of the retention factor and the volumetric percentage of organic modifier in the mobile phase. To overcome this shortcoming, a modified retention model was adopted to predict the retention times in several linear gradient conditions. A numerical method that transforms any gradient condition into discrete step gradient conditions was also proposed to predict the retention times in a gradient elution. The model is suitable to apply to nonlinear and multilinear gradient conditions, including actual obtained gradient profiles. Two kinds of organic modifiers, methanol and acetonitrile, were employed, and four purine compounds were used as solutes. The predicted retention times obtained by the modified retention model are in good agreement with experimental data in terms of the achieved gradient conditions.

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“…In this work, the logarithmic retention factor, k, is correlated by a linear relationship and quadratic relationship involving the vol.% (F) of organic modifier [16,17].…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Optimum separation condition of peptides in reversed-phase liquid chromatography

Lee

Row

2004

Journal of Chromatography B

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Retention models of capacity factor with different compositions of organic modifier in RP-HPLC

Cited by 19 publications

References 8 publications

Effects of Mobile Phase Composition as a Function of Temperature on Isocratic Elution Behavior of β-carotene in Revered-Phase Liquid Chromatographic Systems

Effects of Mobile Phase Composition as a Function of Temperature on Isocratic Elution Behavior of β-carotene in Revered-Phase Liquid Chromatographic Systems

Prediction of the Gradient Retention Times of Purine Compounds in Reversed Phase High Performance Liquid Chromatography

Optimum separation condition of peptides in reversed-phase liquid chromatography

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