Optimization of multicomponent solvent selection in high-performance liquid chromatography using a statistical method

A computer-assisted method is presented for optimization of multicomponent solvent mobile phase selection for separation of O-ethyl-N-isopropyl phosphoro (thioureido) thioates in reversed-phase HPLC and four geometric isomers of pesticides Decis in normal-phase HPLC. The method is based on Snyder's solvent selection triangle concept using a statistical method. The optimization of the separation over the experimental region is based on a special polynomial estimation from seven experimental runs, and resolution (R_s) is used as the selection criterion. Excellent agreement was obtained between predicted data and experimental results.     

Advanced simplex optimization of two-factor selectivity by high performance thin-layer chromatography

Summary A computer-assisted mixture design simplex method is presented for optimization of the separation of a mixture of five benzoic acid derivatives in reversephase HPTLC and twelve PTH-amino acids in normal phase HPTLC. A two-factor selectivity rectangle concept was used. The method is based on a special polynomial estimated from nine experimental runs, using the R_F difference as the selection criterion, with connection to a general simplex method for optimization using a microcomputer. Excellent agreement is obtained between predicted data and experimental results, and more than half the number of experiments required in the general simplex method can be omitted.     

Optimization separation of five phosphoamidothioate enantiomers using a series of silica and chiral column by high-performance liquid chromatography

A computer-assisted method is described for optimization of multi-component,mobile phase selection for separation of five phosphoamidothioate enantiomers with a series of silica and chiral columns in normal phase HPLC.The method is based on the triangular solvent selection concept using a statistical scanning method.The optimization of the separation over the experimental region is based on a special polynomial estimation from seven experimental runs,and resolution (Rs) is used as the selection criterion.Excellent agreement was obtained between predicted and experimental data.     

Computer-assisted optimization of temperature programming and flow rate in capillary gas chromatography

A computer-assisted method is presented for simultaneous optimization of three-factor of temperature programming (initial temperature, temperature rising rate and carrier gas flow rate) for the separation of eleven compounds in capillary gas chromatography. The optimization of the separation over the experimental region is based on a special polynomial from fifteen preliminary experiments using the resolution as the selection criterion. Computer scanning technique was used for optimum selection on three dimensions. Excellent agreement was found between the predicted data and the experimental results.     

计算机辅助柱色谱最优化分离氨基酸

计算机辅助柱色谱最优化分离氨基酸王琴孙，颜炳文，王寿亭，陶雪（南开大学元素有机化学研究所，天津，３０００７１）（南开大学高分子化学研究所）关键词计算机，色谱最优化，柱色谱微型计算机的发展推动了整个色谱优化领域的发展，也陆续出现了一些优化分离方法［１～...     

Computer-assisted optimization for the selection of mobile phase in semi-preparative HPLC

A computer-assisted method is presented for optimization for the selection of mobile phasecomposition in semi-preparative HPLC.The optimization for the expected separation is based ona polynomial estimation from five preliminary runs.Statistical scanning technique was used foroptimization.Double criteria simulation system (DCSS) is established for chromatographic perfor-mance measurement in this method.The validity of the optimization strategy is confirmed by applyingit to a technical Cypermethrin separation.Excellent agreement is obtained between the predictedand experimental results.     

Optimization of two-factor(pH and ion concentration)simultaneous selection in HPLC using a statistical method

A computer-assisted method is presented for simultaneous optimization of pH and ion con-centration selection for the optimal separation in reversed-phase HPLC.The method is based on apolynomial estimation from nine preliminary experiments according to two-factor rectangular design.This is followed by a two-dimension computer scanning technique.Resolution is used as the selectioncriterion.Good agreement was obtained between predicted data and experimental results.     

Computer-assisted optimization of mobile phase compositions and development distance selectivity in gradient two-step development high-performance thin-layer chromatography

A computer-assisted method is presented for optimization of mobile phase compositions and development distance in gradient two-step development HPTLC. The method is based on a system which can predict the final Rf values for gradient two-step development from values measured using five preliminary runs. The statistical scanning method is then used for optimization, using Rf difference as the selection criterion. The method was evaluated using a mixture of eight components. Excellent agreement was obtained between predicted and experimental results. Gradient two-step development HPTLC, mobile phase composition optimization, velopment distance optimizationde-     

计算机辅助合成最优化方法研究(I)——Azodrin合成反应优化条件选择

本文提出了一种计算机辅助有机合成条件(摩尔比,反应物浓度,处理时间)最优化选择方法.方法的基础是通过15个预实验建立一个多项式,然后用计算机扫描技术来优化,含量与得率作为优化指标.方法用于工业久效磷的合成,结果表明预示与实验结果非常一致.     

Computer-assisted optimization of pesticides separation by two-dimensional high-performance thin-layer chromatography

Summary A computer-assisted method is presented for optimization of two mobile phase selection for separation of a mixture of eight pesticides in two-dimensional TLC. Optimization of the separation over the experimental region is based on two special polynomial estimations from preliminary runs of two groups. Using D (distance of two spots) as the selection criterion with a two factor statistical scanning technique excellent agreement is obtained between predicted and experimental results.     

Computer-assisted multifactor optimization of selectivity in gas chromatography

Summary A computer-assisted method is presented for the simultaneous multifactor optimization (stationary phase loading, column temperature and carrier gas flow rate) of the analytical conditions for the optimum separation of multicomponent samples in gas chromatography. The optimization of the separation over the experimental region is based on a special polynomial from twelve preliminary experiments using the resolution as the selection criterion. Computer scanning technique was used for optimum selection in three dimensions. Excellent agreement was obtained between the predicted data and the experimental results.     

Optimization of the separation of a mixture of unknown composition by reversed-phase HPLC

A method is presented for the computer-assisted optimization of mobile phaseselection for the separation of a synthetic intermediate of unknown composition by reversed-phase HPLC.The method is based on recognition of the order of the peaks by comparisonof peak area ratio and followed by the BSOS-L(Binary Solvent Optimization System forHPLC)method.Excellent agreement was obtained between predicted data and experimentalresults.     

计算机辅助高效液相色谱梯度洗脱的优化

本文介绍了计算机辅助反相高效液相色谱梯度洗脱优化分离的方法。首先采用混合设计法，通过９个预试验建立目标函数，然后运用双因素（初始流动相组成Ｃ和梯度时间Ｔ）扫描技术，由计算机给出优化分离条件，实验结果和预示完全一致。     

Method of the selection of the g(α) function based on the reduced-time plot

A method for the selection of the g(α) function describing the thermal decomposition of solids based on the reduced-time plot is proposed. This method allows more objective selection of the g(α) function best describing the experimental results from a mathematical point of view, when compared to the graphical method applied up to the present. With the use of variously defined values of reduced time, this method was applied to the investigation of the kinetics of the isothermal decomposition of CaCO₃ under nitrogen. The listing of a computer program enabling the carrying out of calculations and the making of plots is given.     

Statistical scanning method for the optimization of gradient elution high performance liquid chromatography

Summary A computer-assisted method is presented for the optimization of separation in gradient elution reversed-phase HPLC. The method is based on a polynomial estimation from nine preliminary experiments according to a two-factor (initial solvent composition C and gradient time T) rectangular design. This is followed by a two-dimension computer scanning technique. Resolution is used as the selection criterion. Good agreement was obtained between predicted data and experimental results.     

A modified simplex method for multifactor optimization of selectivity in gas chromatography

A computer-assisted advanced simplex method is presented for the simultaneous optimization of multifactor ( stationary phase loading, carrier gas flow rate and column temperature ) for separation of ten compounds in gas chromatography. A three factors factorial design was used. The method was based on a special polynomial established from fifteen preliminary runs, using resolution as the selection criterion, with connection to a general simplex method. Excellent agreement is found between the predicted data and the experimental results, and most of experiments required in the general simplex method can be omitted.     

Comparison of methods concerning the selection of a function describing the thermal decomposition of solids

Determination of the kinetic parameters of the thermal decomposition of solids usually requires a knowledge of the function describing the mechanism of decomposition. Research was made to obtain a method that enables the selection of one of the 16 functions used in the literature in such a way that it best describes experimental data in the isothermal measurements. The results obtained indicate that the best fit of experimental and calculated data is gained by using the weighted least-squares method with the equation g(α) = kt + b and using criteria based on the minimization of the difference between α_exp and α_calc     

Packed Column SFC of Gas Oils. Part II: Experimental Design Optimization of the Group-Type Analysis using CO2-SF6 as the Mobile Phase

An optimization procedure is presented for group-type analysis of diesel fuel by supercritical fluid chromatography using packed silica column and a mixed mobile phase. A set of five responses, four values of resolution of a performance mixture and analysis time, was modeled using a Doehlert matrix for experimental design. Optimized experimental conditions for the five responses were obtained from a response surfaces optimization, taking into account various constraints on SF₆ content in mobile phase and analysis time. The predicted and experimental resolutions were in good agreement for the different optimized conditions and one of them was selected to for application to a given diesel fuel for comparison with the results obtained by SFC using pure CO₂ and by HPLC. The conditions found in this study provide an alternative method for the determination of mono-, di-, and polyaromatic compounds in middle distillates.     

Simultaneous determination of epimers (+)-catechin and (‒)-epicatechin in Onosma bracteatum Wall. using high-performance thin-layer chromatography‒mass spectrometry method

High-performance thin-layer chromatography‒mass spectrometry (HPTLC‒MS) method was developed for the estimation of epimers (+)-catechin (CA) and (‒)-epicatechin (ECA) in Onosma bracteatum Wall. Resolving these epimers is challenging and so method optimization was done for the selection of the stationary phase and the mobile phase to achieve their coherent separation. To further increase the reliability of the obtained densitometric results, HPTLC–MS analysis was performed. The genus Onosma L. is a species-rich genus that exhibits complex patterns of morphological and karyological diversity, and highly debatable taxonomic approaches. Thus, many similar species are described based on morphological differences and often quite ambiguous. To facilitate the identification of O. bracteatum, separation was achieved using pre-coated silica gel 60 F₂₅₄ HPTLC plate as the stationary phase and a mixture of diisopropyl ether–ethyl acetate–formic acid (9.0:0.2:0.7, V/V) as the mobile phase for the separation of epimers CA and ECA. Sample preparation, mobile phase selection and optimization were given importance to manage good resolution (R_F) of these markers. Flavan-3-ols CA and ECA were identified and confirmed on the basis of R_F and in situ UV and MS overlaid spectra with respective standards. The method was validated for linearity, inter-day precision, intra-day precision, repeatability, accuracy, specificity, limit of detection, and limit of quantification. The average recoveries for epimers CA and ECA from ethyl acetate extract fraction (MEF) were found 98.86 and 99.03% indicating the good reproducibility for each marker. The proposed validated HPTLC method is simple, accurate and reproducible and is the first report on the separation and quantification of the epimers CA and ECA in O. bracteatum using HPTLC–MS.