Using nonrandom two-liquid model for solvent system selection in counter-current chromatography

Ren, Dabing; Yanhua, Qin; Yun, Yong‐Huan; Lü, Hongmei; Chen, Xiaoqing; Liang, Yi‐Zeng

doi:10.1016/j.chroma.2014.05.080

Cited by 15 publications

(10 citation statements)

References 17 publications

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“…Experimental verifications were carried out in six solvent systems commonly used in Arizona solvent systems and two solvent systems in chloroform/methanol/water solvent systems. With the guidance of this method, it rapidly screened the solvent system consisting of hexane/ethyl acetate/methanol/water (1:4:1:4, v/v) for successful isolation of two compounds with high purity from Malus hupehensis leaves [47]. Hopmann developed the true solvent conductivity screening model (COSMO‐RS) by combining quantum chemical methods with statistical thermodynamics [48].…”

Section: Prediction Of Partition Coefficientmentioning

confidence: 99%

Recent progress in separation prediction of counter‐current chromatography

Guo

Tong

Zhang

et al. 2020

J of Separation Science

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As a liquid‐liquid partition chromatography, counter‐current chromatography has advantages in large sample loading capacity without irreversible adsorption, which has been widely applied in separation and purification fields. The main factors, including partition coefficient, two‐phase solvent systems, apparatus, and operating parameters greatly affect the separation process of counter‐current chromatography. To promote the applications of counter‐current chromatography, it is essential to develop theoretical research to master the principles of counter‐current chromatographic separations so as to achieve predictions before laborious trials. In this article, recent progress about separation prediction methods are reviewed from a point of the steady and unsteady state of the mass transfer process of counter‐current chromatography and its mass transfer characteristics, and then it is divided into three aspects: prediction of partition coefficient, modeling the thermodynamic process of counter‐current chromatography, and modeling the dynamic process of counter‐current chromatography.

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Section: Prediction Of Partition Coefficientmentioning

confidence: 99%

Recent progress in separation prediction of counter‐current chromatography

Guo

Tong

Zhang

et al. 2020

J of Separation Science

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“…However, the K D value was commonly obtained by experimental measurement, which is time‐consuming as well as labor intensive. Recently, Liang developed novel solvent system selection strategies by using thermodynamic methods combined with heuristic optimization algorithms, such as genetic algorithms . It is of great importance to predict the partition coefficient for minimizing the experimental effort and cost involved in solvent system selection.…”

Section: Application In the Analysis Of Complex Systemsmentioning

confidence: 99%

“…To develop a useful method for prediction of K D values and thus rapid selection of biphasic solvent system, the NRTL model was used to explore the relationship between the solute partition coefficient and phase composition . The NRTL method provides quite satisfactory results for model solutes in first correlating measured partition coefficient in a few selected biphasic liquid systems and then successfully predicting the partition coefficient in other two‐phase liquid systems.…”

Section: Application In the Analysis Of Complex Systemsmentioning

confidence: 99%

“…A useful strategy was proposed to improve the versatility and predictive capability of the NRTL‐SAC method which is capable of supporting the NRTL‐SAC method as a systematic solvent system selection tool. By using the NRTL method, the solvent system composed of hexane/ethyl acetate/methanol/water (1:4:1:4, v / v ) was rapidly screened for the successful separation of two major compounds with high purity from Malus hupehensis leaves . Assisted with the NRTL‐SAC solvent system selection method, a two‐step HSCCC method with three elution modes was established for the separation of nine major components from Salvia plebeian R. Br .…”

Section: Application In the Analysis Of Complex Systemsmentioning

confidence: 99%

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Chemometrics in instrumental analysis of complex systems—in honor and memory of Yi‐Zeng Liang

Zhang

Yun

et al. 2018

Journal of Chemometrics

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A true pioneer in the fields of chemometrics and analytical chemistry was lost with the passing of Yi-Zeng Liang in October 2016. This is an enormous loss to both the local and global community of chemometrics. Yi-Zeng Liang is recognized as one of the major players in China in the field of chemometrics. As a professor of chemometrics and analytical chemistry in Hunan University and Central South University, he made significant advances within instrumental analysis of complex systems. Liang inspired many students and visiting scholars. As Liang's former students, we have attempted to summarize Liang's contributions to the field over the past 30 years. This review covers different chemometric areas, signal preprocessing, multivariate curve resolution, and multivariate calibration and discusses the application of these methods in traditional Chinese medicine, metabolomics, proteomics, and quantitative structure-activity relationship research.

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“…The NRTL-SAC model has been developed for solvent prediction based on a few partitioning experiment results. In order to evaluate the precision of the NRTL-SAC model, acetaminophen, sulfadiazine, cimetidine, sulfamerazine; magnolol, honokiol, 3hydrophloridzin, and phloridzin were selected as standard analytes [43,45,46]. Another application of using descriptors to predict partition coefficients was reported by Qian and Poole.…”

Section: Three-dimensional K Value Mapsmentioning

confidence: 99%

Solvent System Selection Strategies in Countercurrent Separation

et al. 2015

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The majority of applications in countercurrent and centrifugal partition chromatography, collectively known as countercurrent separation, are dedicated to medicinal plant and natural product research. In countercurrent separation, the selection of the appropriate solvent system is of utmost importance as it is the equivalent to the simultaneous choice of column and eluent in liquid chromatography. However, solvent system selection is often laborious, involving extensive partition and/or analytical trials. Therefore, simplified solvent system selection strategies that predict the partition coefficients and, thus, analyte behavior are in high demand and may advance both the science of countercurrent separation and its applications. The last decade of solvent system selection theory and applications are critically reviewed, and strategies are classified according to their data input requirements. This offers the practitioner an up-to-date overview of rationales and methods for choosing an efficient solvent system, provides a perspective regarding their accuracy, reliability, and practicality, and discusses the possibility of combining multiple methods for enhanced prediction power.

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Using nonrandom two-liquid model for solvent system selection in counter-current chromatography

Cited by 15 publications

References 17 publications

Recent progress in separation prediction of counter‐current chromatography

Recent progress in separation prediction of counter‐current chromatography

Chemometrics in instrumental analysis of complex systems—in honor and memory of Yi‐Zeng Liang

Solvent System Selection Strategies in Countercurrent Separation

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