DEVELOPMENT OF AN UPLC METHOD FOR SIMULTANEOUS DETERMINATION OF TARTRAZINE, CONGO RED AND METHYL ORANGE

Anamaria  NEGRULESCU; Viorica  PATRULEA; Manuela Cristina  MINCEA; Cristina  MORARU; Vasile  OSTAFE

Authors

Anamaria NEGRULESCU Department of Biology and Chemistry, Faculty of Chemistry, Biology and Geography; Advanced Research Environmental Laboratories, “Nicholas Georgescu-Roegen” Multidisciplinary Research Platform, West University, Timișoara, Romania. Corresponding author: vasile.ostafe@e-uvt.ro.
Viorica PATRULEA Department of Biology and Chemistry, Faculty of Chemistry, Biology and Geography; Advanced Research Environmental Laboratories, West University, Timișoara, Romania; Department of Pharmaceutical Sciences, University Medical Center, Geneve, Switzerland. Email: viorica.patrulea@unige.ch. https://orcid.org/0000-0003-3906-2041
Manuela Cristina MINCEA Advanced Environmental Research Laboratories, “Nicholas Georgescu-Roegen” Multidisciplinary Research Platform, Timisoara, Romania. Corresponding author: vostafe@cbg.uvt.ro.
Cristina MORARU Advanced Environmental Research Laboratories, “Nicholas Georgescu-Roegen” Multidisciplinary Research Platform, Timisoara, Romania. Corresponding author: vostafe@cbg.uvt.ro.
Vasile OSTAFE Department of Biology - Chemistry Faculty of Chemistry, Biology, Geography; Advanced Environmental Research Laboratory, West University, Timisoara, Romania. Email: vasile.ostafe@e-uvt.ro. https://orcid.org/0000-0003-1352-1115

Keywords:

azo dyes; Congo red; methyl orange; tartrazine; UPLC

Abstract

An UPLC method was developed to determine the concentrations of tartrazine (TAR), Congo red (CR), and methyl orange (MO) in aqueous mixtures. The chromatographic method was optimized considering the temperature of the column, the composition of mobile phases and the gradient program. The chosen method has allowed the separation and identification of TAR, CR, and MO from aqueous samples in 2 min. The calibration plots (R²> 0.991) were linear over the ranges 0.5 – 50 µg/mL. The accuracy of the method was investigated, by applying recovery tests with an average recovery percentage higher than 99%. The precision analysis included an intra-day variation, for which RSD (%) had values lower than 0.94, and an inter-day variation with RSD (%) values lower than 1.07. The developed method was successfully tested on water samples collected from a river nearby a textile industry plant.

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