A simple and accurate analytical method for determination of three commercial dyes in different water systems using partial least squares regression
- 1 October 2012
- journal article
- research article
- Published by IWA Publishing in Water Science & Technology
- Vol. 66 (8) , 1647-1655
Abstract
A simple analytical procedure is proposed for simultaneous determination of three common dyes (Basic Blue 9, Brilliant Blue E-4BA, and Reactive Blue 2) in natural waters without prior separation of the solutes. A popular chemometric method, partial least squares regression PLS-1, was effectively applied for spectral resolution of a highly overlapping system. At the best modeling conditions, mean recoveries and relative standard deviations (RSD) for dyes quantification by PLS-1 were found to be 102.1 (4.4), 95.7 (8.4), and 98.9 (6.2) for Basic Blue, Brilliant Blue, and Reactive Blue, respectively. The estimated limits of detection (LOD) were estimated using net-analyte signal concept and were 0.11, 0.52, 0.49 mg L−1 for Basic Blue, Brilliant Blue, and Reactive Blue, respectively. The quantitative determination of dyes spiked in real water samples was carried out successfully by PLS-1 with satisfactory recoveries for dyes (90–106%).Keywords
This publication has 9 references indexed in Scilit:
- Simultaneous determination of five commercial cationic dyes in stream waters using diatomite solid-phase extractant and multivariate calibrationArabian Journal of Chemistry, 2012
- Solid-phase extraction and simultaneous determination of trace amounts of sulphonated and azo sulphonated dyes using microemulsion-modified-zeolite and multivariate calibrationTalanta, 2008
- A comparative study between PCR and PLS in simultaneous spectrophotometric determination of diphenylamine, aniline, and phenol: Effect of wavelength selectionSpectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2007
- Simultaneous UV–vis spectrophotometric determination of disperse dyes in textile wastewater by partial least squares and principal component regressionDyes and Pigments, 2007
- Partial least squares-based multivariate spectral calibration method for simultaneous determination of beta-carboline derivatives in Peganum harmala seed extractsAnalytica Chimica Acta, 2006
- Net analyte signal–artificial neural network (NAS–ANN) model for efficient nonlinear multivariate calibrationAnalytica Chimica Acta, 2005
- MVC1: an integrated MatLab toolbox for first-order multivariate calibrationChemometrics and Intelligent Laboratory Systems, 2004
- Partial least squares multicomponent fluorimetric determination of fluoroquinolones in human urine samplesTalanta, 2004
- Simultaneous determination of Sb(III) and Sb(V) by partial least squares regressionTalanta, 2003