期刊
JOURNAL OF CHROMATOGRAPHY A
卷 1554, 期 -, 页码 16-27出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.chroma.2018.04.044
关键词
Micro-solid-phase extraction; Liquid chromatography-tandem mass spectrometry; Biogenic silica composite sorbent; Chemometric optimization; Beta-blockers
资金
- Deanship of Scientific Research at King Fand University of Petroleum and Minerals (KFUPM) [151024]
An environmentally friendly micro-solid phase extraction (mu-SPE) method utilizing a plant based nanocomposite as a sorbent for determination of trace level beta blockers (beta-blockers) in hospital wastewater prior to Liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis. mu-SPE extraction conditions were evaluated using a multivariate chemometric approach. Rice husk silica carbon nanocomposite (5-20 Wt.% Fe) in glycerol were synthesized via hydrolytic sol-gel method. The nanosorbent were fully characterized and then evaluated for mu-SPE of trace level beta-blockers in hospital wastewater. To establish the best extraction conditions at minimal experimental cost, multivariate techniques based on fractional factorial (FFD) and central composite designs (CCD) with desirability function (DF) were used to optimize the extraction conditions. Experimental results showed good agreement with predicted values and logical DF was realized at relatively low extraction time. Under optimized conditions, good linearity ranges (0.02-5.0 mu g L-1) with correlation of determinations higher than 0.9954 were obtained. The limits of detection and quantitation for the five beta-blockers (atenolol, alprenolol, pindolol, acebutolol and propranolol) ranged from 4.0-6.4 and 13.0-19.0 ng L-1, respectively. Inter-day and intra-day precision (percent relative standard deviations, n = 5) were lower than 8.3% while relative recoveries for hospital wastewater samples (80.6-105.1%) were in satisfactory ranges. This experimental approach therefore, demonstrated simplicity, reduction in the experimental runs, effectively increased sensitivity of LC-MS/MS and was hence suitable for complex matrix sample analysis. (C) 2018 Published by Elsevier B.V.
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