Publication Type Journal Article
Title Bar Adsorptive Microextraction Coated with Carbon-Based Phase Mixtures for Performance-Enhancement to Monitor Selected Benzotriazoles, Benzothiazoles, and Benzenesulfonamides in Environmental Water Matrices
Authors S. M. E. Ahmad Bruno B. C. Calado Mariana N. Oliveira N. R. Neng J. M. F. Nogueira
Groups Chem4Env
Journal MOLECULES
Year 2020
Month May
Volume 25
Number 9
Pages
Abstract In the present work we propose, for the first time, bar adsorptive microextraction coated with carbon-based phase mixtures, followed by microliquid desorption and high performance liquid chromatography-diode array detection (BA mu E-mu LD/HPLC-DAD) analysis, to enhance the performance of the determination of traces of benzotriazoles (BTRs), benzothiazoles (BTs), and benzenesulfonamide derivatives (BSDs) in environmental water matrices. Assessing six carbon-based sorbents (CA1, CN1, B test EUR, SX PLUS, SX 1, and R) with different selectivity properties allowed us to tailor the best phase mixture (R, 12.5\%/CN1, 87.5\%) that has convenient porosity, texture, and surface chemistry (pH(PZC,mix) similar to 6.5) for trace analysis of benzenesulfonamide, 1-hydroxybenzotriazole, 1H-benzotriazole, 5-methyl-1H-benzotriazole, benzothiazole, and 1,3-benzothiazol-2-ol chemicals in aqueous media. Optimized experimental conditions provided average recoveries ranging from 37.9\% to 59.2\%, appropriate linear dynamic ranges (5.0 to 120.0 mu g L-1; r(2) >= 0.9964), limits of detection between 1.0 and 1.4 mu g L-1, and good precisions (relative standard deviation (RSD) <= 9.3\%). The proposed methodology (BA mu E(R, 12.5\%/CN1, 87.5\%)-mu LD/HPLC-DAD) also proved to be a suitable sorption-based static microextraction alternative to monitor traces of BTRs, BTs, and BSDs in rain, waste, tap, and estuarine water samples. From the data obtained, the proposed approach showed that the BA mu E technique with the addition of lab-made devices allows users to adapt the technique to use sorbents or mixtures of sorbents with the best selectivity characteristics whenever distinct classes of target analytes occur simultaneously in the same application.
DOI http://dx.doi.org/10.3390/molecules25092133
ISBN
Publisher MDPI
Book Title
ISSN
EISSN 1420-3049
Conference Name
Bibtex ID ISI:000535695900129
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