| Literature DB >> 32519432 |
Nur Ezwan Anis Muhd Subuhi1,2, Salwani Md Saad1, Nur Nadhirah Mohamad Zain1, Vuanghao Lim1, Mazidatulakmam Miskam2, Sazlinda Kamaruzaman3, Muggundha Raoov4, Noorfatimah Yahaya1,5.
Abstract
In this work, a simple, fast, sensitive, and environmentally friendly method was developed for preconcentration and quantitative measurement of bisphenol A in water samples using GC-MS instrument. The preconcentration approach, namely biosorption-based dispersive liquid-liquid microextraction with extractant removal by magnetic nanoparticles was performed based on the formation of microdroplet of rhamnolipid biosurfactant throughout the aqueous samples, which accelerates the mass transfer process between the extraction solvent and sample solution. The process is then followed by the application of magnetic nanoparticles for easy retrieval of the analyte-containing extraction solvent. Several important variables were optimized comprehensively including type of disperser solvent and desorption solvent, rhamnolipid concentration, volume of disperser solvent, amount of magnetic nanoparticles, extraction time, desorption time, ionic strength and sample pH. Under the optimized microextraction and GC-MS conditions, the method demonstrated good linearity over the range of 0.5-500 μg L-1 with a coefficient of determination of R2 = 0.9904, low limit of detection (0.15 μg L-1 ) and limit of quantification (0.50 μg L-1 ) of bisphenol A, good analyte recoveries (84-120%) and acceptable relative standard deviation (1.8-14.9%, n = 6). The proposed method was successfully applied to three environmental water samples, and bisphenol A was detected in all samples. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.Entities:
Keywords: biosorption; bisphenol A; dispersive liquid-liquid microextraction; gas chromatography; magnetic nanoparticles
Year: 2020 PMID: 32519432 DOI: 10.1002/jssc.201901194
Source DB: PubMed Journal: J Sep Sci ISSN: 1615-9306 Impact factor: 3.645