### Abstract

The tripartite “PRISMA” optimization model is summarized, which includes all possible solvent combinations between 1–5 solvents. The solvent composition is characterized by the solvent strength (S_{T}) and the selectivity points (P_{S}). The results show that a correlation between the selectivity points for equilibrated column systems at a constant solvent strength (horizontal function) can be described by the function [formula ommited]. In all cases in 12, 8, and 4 selectivity points, the k' values were measured along the edges of the triangle through two basic selectivity points (181-118–811 or 811–181). The function obtained from the k' values measured at 12 or 8 points correlated with a high significance with the function obtained from only 4 points. The vertical correlation at constant selectivity points between various solvent strengths can be described by [formula ommited]. Because the vertical correlation can be linearized, measurements on 3 solvent strengths levels are needed to calculate the k' values in all selectivity points in the spatial design. These correlations are also relevant when modifiers are used in constant amounts, using various substance classes of naturally-occurring compounds of differing polarity, both correlations were shown to be valid. From the presented correlations of the k' values and the selectivity points, the chromatographic behavior of substances to be separated can be predicted at all selectivity points within the “PRISMA” model for isocratic separation. Based on these relationships a mobile phase optimization strategy is suggested.

Original language | English |
---|---|

Pages (from-to) | 95-116 |

Number of pages | 22 |

Journal | Journal of Liquid Chromatography |

Volume | 12 |

Issue number | 1-2 |

DOIs | |

Publication status | Published - Jan 1 1989 |

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### ASJC Scopus subject areas

- Molecular Medicine

### Cite this

*Journal of Liquid Chromatography*,

*12*(1-2), 95-116. https://doi.org/10.1080/01483918908049192

**Correlation and prediction of the k' values for mobile phase optimization in HPLC.** / Nyiredy, S.; Dallenbach-Toelke, K.; Sticher, O.

Research output: Contribution to journal › Article

*Journal of Liquid Chromatography*, vol. 12, no. 1-2, pp. 95-116. https://doi.org/10.1080/01483918908049192

}

TY - JOUR

T1 - Correlation and prediction of the k' values for mobile phase optimization in HPLC

AU - Nyiredy, S.

AU - Dallenbach-Toelke, K.

AU - Sticher, O.

PY - 1989/1/1

Y1 - 1989/1/1

N2 - The tripartite “PRISMA” optimization model is summarized, which includes all possible solvent combinations between 1–5 solvents. The solvent composition is characterized by the solvent strength (ST) and the selectivity points (PS). The results show that a correlation between the selectivity points for equilibrated column systems at a constant solvent strength (horizontal function) can be described by the function [formula ommited]. In all cases in 12, 8, and 4 selectivity points, the k' values were measured along the edges of the triangle through two basic selectivity points (181-118–811 or 811–181). The function obtained from the k' values measured at 12 or 8 points correlated with a high significance with the function obtained from only 4 points. The vertical correlation at constant selectivity points between various solvent strengths can be described by [formula ommited]. Because the vertical correlation can be linearized, measurements on 3 solvent strengths levels are needed to calculate the k' values in all selectivity points in the spatial design. These correlations are also relevant when modifiers are used in constant amounts, using various substance classes of naturally-occurring compounds of differing polarity, both correlations were shown to be valid. From the presented correlations of the k' values and the selectivity points, the chromatographic behavior of substances to be separated can be predicted at all selectivity points within the “PRISMA” model for isocratic separation. Based on these relationships a mobile phase optimization strategy is suggested.

AB - The tripartite “PRISMA” optimization model is summarized, which includes all possible solvent combinations between 1–5 solvents. The solvent composition is characterized by the solvent strength (ST) and the selectivity points (PS). The results show that a correlation between the selectivity points for equilibrated column systems at a constant solvent strength (horizontal function) can be described by the function [formula ommited]. In all cases in 12, 8, and 4 selectivity points, the k' values were measured along the edges of the triangle through two basic selectivity points (181-118–811 or 811–181). The function obtained from the k' values measured at 12 or 8 points correlated with a high significance with the function obtained from only 4 points. The vertical correlation at constant selectivity points between various solvent strengths can be described by [formula ommited]. Because the vertical correlation can be linearized, measurements on 3 solvent strengths levels are needed to calculate the k' values in all selectivity points in the spatial design. These correlations are also relevant when modifiers are used in constant amounts, using various substance classes of naturally-occurring compounds of differing polarity, both correlations were shown to be valid. From the presented correlations of the k' values and the selectivity points, the chromatographic behavior of substances to be separated can be predicted at all selectivity points within the “PRISMA” model for isocratic separation. Based on these relationships a mobile phase optimization strategy is suggested.

UR - http://www.scopus.com/inward/record.url?scp=84954857365&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84954857365&partnerID=8YFLogxK

U2 - 10.1080/01483918908049192

DO - 10.1080/01483918908049192

M3 - Article

AN - SCOPUS:84954857365

VL - 12

SP - 95

EP - 116

JO - Journal of Liquid Chromatography and Related Technologies

JF - Journal of Liquid Chromatography and Related Technologies

SN - 1082-6076

IS - 1-2

ER -