4.6 Article

A high-throughput nanofibers mat-based micro-solid phase extraction for the determination of cationic dyes in wastewater

Journal

JOURNAL OF CHROMATOGRAPHY A
Volume 1460, Issue -, Pages 24-32

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.chroma.2016.07.020

Keywords

Micro-SPE; PPy nanofibers mat; HPLC-DAD; Cationic dyes analysis

Funding

  1. National Natural Science Foundation of China [81172721, 81473019]
  2. Students Research Training Program of Jiangsu Province [S2014117]
  3. Suzhou Nanoresearch Special Plan [ZXG2013026]
  4. Fundamental Research Funds for the Central Universities [KYZZ15_0058]

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This study used nanofibers mat (NFsM)-based micro-SPE (mu-SPE) in 96-well plate format as a novel high throughput sample preparation technique prior to the determination of cationic dyes in wastewater using HPLC-DAD. P-Toluene sulfonate (PTS-) doped polypyrrole (PPy) functionalized NFsM (PTS-PPy NFsM) was optimized as SPE sorbent in aspects of PPy form (particles and NFsM) and its doped anions (Cl- and PTS-), which showed good extraction efficiency and adsorption capacity for cationic dyes (Auramine-O, Chrysoidine and Rhodamine-B). Under the optimal conditions, the limits of detection (LODs) were between 0.3 and 0.5 mu g/L, and the linearity was achieved in the concentration ranging from 1.0 to 150.0 mu g/L with correlation coefficients (R) between 0.992 and 0.999. Compared with the published SPE methods, this approach demonstrated its advantages such as shorter extraction time (0.3 min per sample), lower requirement sorbent (2.0 mg), lower volume of organic solvent (0.7 mL), higher recovery (90.1-99.1%) and precision (RSDs <6.9%). With this developed method, we have successfully analyzed the dyeing industry wastewater, which meets the Discharge Standards of Water Pollutants for Dyeing and Finishing of Textile Industry in China. The concentrations of three analyzed cationic dyes were from 2.9 to 13.9 mu g/L. The NFsM-based mu-SPE technique is practically a high-throughput sample preparation procedure that can accurately assess the pollutants in the wastewater from dyeing industry. (C) 2016 Elsevier B.V. All rights reserved.

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