Total chromatographic optimization (TOCO) I. Simultaneous optimization of many variables in liquid chromatography

Hayashi, Yuzuru; Matsuda, Rieko; Nakamura, Akitada

doi:10.1007/bf02270454

Cited by 24 publications

(5 citation statements)

References 15 publications

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“…Two types of optimal conditions were proposed by Hayashi et al 13,14 The φ-optimal was defined as the most precise condition among all the maxima of the Shannon information φ called FUMI (Function of Mutual Information). 15,16,20 The θ-optimal is the most efficient (rapid) condition and was expressed with a maximum of information flow θ (the amount of information φ transmitted in a unit time).…”

Section: Underlying Conceptmentioning

confidence: 99%

“…20 Hereafter, φ and θ were called precision and efficiency, respectively. Hayashi et al 13,14 examined the optimization of mobile phase composition, column length, flow rate (velocity), detection wavelength, and the amount of internal standard in HPLC-UV. Such optimization was referred to as total chromatographic optimization (TOCO).…”

Section: Underlying Conceptmentioning

confidence: 99%

“…For the most precise analysis and the highest throughput analysis, maximal values of For a UV detector, peak height does not change even if the flow rate of mobile phase is changed. 13,14 Thus, θ was increased while φ was kept constant 13,14 when the flow rate was increased. On the other hand, for an electrochemical detector, φ and θ, as well as the peak height were dependent on the flow rate.…”

Section: Evaluation Of Columns and Optimization Of Flow Rate Of Mobilmentioning

confidence: 99%

“…The two parameters, precision φ and efficiency θ, were used to evaluate HPLC with UV detection (HPLC-UV) 13,14 (φ = log(1/RSD), where RSD denotes the relative standard deviation of a measured object's peak height, θ = φ/tR; here tR denotes retention time of a measured object's peak). Every chromatogram has its own precision φ and efficiency θ, and can be described as a point in a space spanned by φ and θ.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of HPLC-ECD Conditions for Determination of Catechins with Precision and Efficiency Based on the FUMI Theory

et al. 2003

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A chemometric tool based on the Function of Mutual Information (FUMI) theory can provide a relative standard deviation (RSD) without repetitive measurements in high-performance liquid chromatography with electrochemical detection (HPLC-ECD). Two parameters: precision (= information content) φ and efficiency (= information content/time) θ, which were calculated from predicted RSD based on the FUMI theory, were used to optimize HPLC-ECD conditions, such as applied potential, flow rate, column length, and size of ODS porous packing. We selected catechins as analytes, and found that the most optimum applied potential and flow rate were +600 mV vs. SCE and 0.9 mL/min, respectively, because they gave the largest φ and θ values. Buffer concentration in mobile phase is less effective for giving large φ and θ values. Since the FUMI theory makes it possible to predict RSD without repetitive measurements, the present method saves considerable amounts of chemicals and experimental time, and was found to be useful for the optimization of experimental conditions for determination by HPLC-ECD.

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Section: Underlying Conceptmentioning

confidence: 99%

Section: Underlying Conceptmentioning

confidence: 99%

Section: Evaluation Of Columns and Optimization Of Flow Rate Of Mobilmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimization of HPLC-ECD Conditions for Determination of Catechins with Precision and Efficiency Based on the FUMI Theory

et al. 2003

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“…Moreover, chromatographic 11,12 variables such as flow rate can be optimized according to the analytical purpose, precision or efficiency. The most precise analysis is called the @-optimum and the most efficient analysis the 8-optimum 11 The aim of this paper is to clarify the superiority of FUMI. over Rs as an optimization criterion.…”

mentioning

confidence: 99%

Comparison of Optimization Based on Information Theory with Optimization of Rs in Column Chromatography

Hayashi

Matsuda

1990

Analytical Letters

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Optimization based on the function of mutual information (FUMI) is reviewed by comparison with optimization of Rs in column chromatography. The following variables are considered: mobile phase composition; pH; column length; the amount of internal standard; detection wavelength. FUMI is equivalent to the precision of measurements and takes a maximum at the optimal condition. However, Rs neither takes a maximum nor corresponds to the precision. This paper demonstrates that FUMI is a superior measure of chromatographic performance. 1765 Copyrght 0 1990 by Marcel Dekker, Inc.

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Systematic Multivariate Optimization of Separation of Auxins by Capillary Electrophoresis Based on Overlapping Resolution Mapping Scheme

Liu

1997

Biomedical Chromatography

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In this paper, the overlapping resolution mapping (ORM) scheme was applied in the separation of 15 plant auxins by capillary electrophoresis. An interpretative optimization approach was utilised to predict the optimum buffer pH, and the concentrations of α‐, β‐, and γ‐cyclodextrins. A four‐dimensional overlapping resolution mapping scheme was developed to optimize these four parameters simultaneously. By conducting sixteen prelanned experiments, global optimum conditions for the separation within an acceptable analysis time could be obtained. © 1997 by John Wiley & Sons, Ltd.

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Total chromatographic optimization (TOCO) I. Simultaneous optimization of many variables in liquid chromatography

Cited by 24 publications

References 15 publications

Optimization of HPLC-ECD Conditions for Determination of Catechins with Precision and Efficiency Based on the FUMI Theory

Optimization of HPLC-ECD Conditions for Determination of Catechins with Precision and Efficiency Based on the FUMI Theory

Comparison of Optimization Based on Information Theory with Optimization of Rs in Column Chromatography

Systematic Multivariate Optimization of Separation of Auxins by Capillary Electrophoresis Based on Overlapping Resolution Mapping Scheme

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