2016
DOI: 10.1002/jssc.201500526
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Central composite design with the help of multivariate curve resolution in loadability optimization of RP‐HPLC to scale‐up a binary mixture

Abstract: Chromatographic method development for preparative targets is a time-consuming and subjective process. This can be particularly problematic because of the use of valuable samples for isolation and the large consumption of solvents in preparative scale. These processes could be improved by using statistical computations to save time, solvent and experimental efforts. Thus, contributed by ESI-MS, after applying DryLab software to gain an overview of the most effective parameters in separation of synthesized cele… Show more

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Cited by 9 publications
(8 citation statements)
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“…In addition, two‐dimensional contour plot is the visual description of the regression equation and assists in the identification of the interactions among selected parameters (Taheri et al . ).…”
Section: Resultsmentioning
confidence: 97%
“…In addition, two‐dimensional contour plot is the visual description of the regression equation and assists in the identification of the interactions among selected parameters (Taheri et al . ).…”
Section: Resultsmentioning
confidence: 97%
“…This tool helps chromatographers to experimentally optimize methods with a few experimental runs . CCD reducing the number of trials determines optimal values of factors with an upper degree of reliability . There are studies that model isocratic or gradient elution for multicomponent combinations in chromatography by these matrices.…”
Section: Introductionmentioning
confidence: 99%
“…2 However, in practice, the solubility limitation in the mobile phase (MP) causes band touching of the peaks with volume overloading and this does not allow all the stationary phase to work, so that the column diameter determines throughput. To maximize sample loading, touching bands of the two enantiomers takes place automatically.…”
Section: Introductionmentioning
confidence: 99%
“…Since in concentration overloading, throughput is determined by a selectivity factor (α), a high value of α is always recommended. 2 However, in practice, the solubility limitation in the mobile phase (MP) causes band touching of the peaks with volume overloading and this does not allow all the stationary phase to work, so that the column diameter determines throughput. Also, big band broadening causes a long delay between injections.…”
Section: Introductionmentioning
confidence: 99%