Literature DB >> 16288766

Rapid separation of Sudan dyes by reverse-phase high performance liquid chromatography through statistically designed experiments.

Yu Ping Zhang1, Yi Jun Zhang, Wen Jun Gong, Anantha Iyengar Gopalan, Kwang-Pill Lee.   

Abstract

Central composite design (CCD) was effectively employed to decide optimum conditions for the rapid separation of Sudan dyes using reverse-phase high performance liquid chromatography (HPLC). Twenty experiments, taking the minimum resolution and retention time of the last eluted peak as the responses with three important factors, mobile phase composition, flow rate and column temperature, were used to design a mathematical model. The experimental responses were fitted into a second order polynomial and used to predict the optimum conditions for the effective separation of the studied compounds. Further, chromatographic separation efficiency was tested through generation of Pareto-optimal points. The validity of using modified central composite design in predicting the optimization conditions was experimentally verified. The optimum conditions were: acetonitrile/0.1% aqueous formic acid (90/10, %v/v) as the mobile phase, at a flow rate of 1.2mL/min and column temperature of 15 degrees C, respectively. While using this optimum condition, baseline separation with a minimum resolution more than 1.5 and a separation time of less than 6min were achieved.

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Year:  2005        PMID: 16288766     DOI: 10.1016/j.chroma.2005.10.024

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  2 in total

1.  Adsorption behavior of Sudan I-IV on a coastal soil and their forecasted biogeochemical cycles.

Authors:  Yong Teng; Qixing Zhou
Journal:  Environ Sci Pollut Res Int       Date:  2017-03-11       Impact factor: 4.223

2.  Statistical assessment of solvent mixture models used for separation of biological active compounds.

Authors:  Sorana D Bolboacă; Elena M Pică; Claudia V Cimpoiu; Lorentz Jäntschi
Journal:  Molecules       Date:  2008-08-11       Impact factor: 4.411

  2 in total

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