Abstract

In this study, we investigated the process of preconcentrate and determine trace amounts of Auramine O (AO) and methylene blue (MB) dyes in environmental water samples. For this purpose, the ultrasound-assisted dispersive-magnetic nanocomposites-solid-phase microextraction (UA-DMNSPME) method was performed to extract AO and MB from aqueous samples by applying magnesium oxide nanoparticles (MgO-NPs). The proposed technique is low-cost, facile, fast, and compatible with many existing instrumental methods. Parameters affecting the extraction of AO and MB were optimized using response surface methodology (RSM). Short extraction time, low experimental tests, low consumption of organic solvent, low limits of detection (LOD), and high preconcentration factor (PF) was the advantages of method. The PF was 44.5, and LOD for AO and MB was 0.33 ng mL−1 and 1.66 ng mL−1, respectively. The linear range of this method for AO and MB were 1–1000 ng mL−1 and 5–2000 ng mL−1, respectively. In addition, the relative standard deviation (RSD; n = 5) of the mentioned analytes was between 2.9% and 3.1%. The adsorption–desorption studies showed that the efficiency of adsorbent extraction had not declined significantly up to 6 recycling runs, and the adsorbent could be used several times. The interference studies revealed that the presence of different ions did not interfere substantially with the extraction and determination of AO and MB. Therefore, UA-DMNSPME-UV/Vis method can be proposed as an efficient method for preconcentration and extraction of AO and MB from water and wastewater samples.

Details

Title
Dispersive solid phase microextraction based on magnesium oxide nanoparticles for preconcentration of auramine O and methylene blue from water samples
Author
Li, Weidong 1 ; Qiu, Jianping 2 ; Baharinikoo, Leila 3 ; Kumar, T. CH. Anil 4 ; Al-qargholi, Basim 5 ; Shafik, Shafik S. 6 ; Abbass, Reathab 7 ; Saraswat, Shelesh krishna 8 

 Hangzhou Normal University Qianjiang College, Hangzhou, China (GRID:grid.410595.c) (ISNI:0000 0001 2230 9154) 
 Zhejiang Normal University Xingzhi College, Jinhua, China (GRID:grid.453534.0) (ISNI:0000 0001 2219 2654) 
 University of Mazandaran, Department of Analytical Chemistry, Faculty of Chemistry, Babolsar, Iran (GRID:grid.411622.2) (ISNI:0000 0000 9618 7703) 
 Vignan’s Foundation for Science Technology and Research, Department of Mechanical Engineering, Guntur, India (GRID:grid.449932.1) (ISNI:0000 0004 1775 1708) 
 Al-Mustaqbal University College, Biomedical Engineering Department, Hillah, Iraq (GRID:grid.449932.1) 
 Al-Ayen University, Experimental Nuclear Radiation Group, Scientific Research Center, Nasiriyah, Iraq (GRID:grid.513203.6) 
 Medical Technical College, Al-Farahidi University, Baghdad, Iraq (GRID:grid.513203.6) 
 GLA University, Deprtment of Electronics and Communication, Mathura, India (GRID:grid.448881.9) (ISNI:0000 0004 1774 2318) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2695365209
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.