Literature DB >> 22746396

Chemometric analytical approach for the cloud point extraction and inductively coupled plasma mass spectrometric determination of zinc oxide nanoparticles in water samples.

Seyed Mohammad Majedi1, Hian Kee Lee, Barry C Kelly.   

Abstract

Cloud point extraction (CPE) with inductively coupled plasma mass spectrometry (ICPMS) was applied to the analysis of zinc oxide nanoparticles (ZnO NPs, mean diameter ~40 nm) in water and wastewater samples. Five CPE factors, surfactant (Triton X-114 (TX-114)) concentration, pH, ionic strength, incubation temperature, and incubation time, were investigated and optimized by orthogonal array design (OAD). A three-level OAD, OA(27) (3(13)) matrix was employed in which the effects of the factors and their contributions to the extraction efficiency were quantitatively assessed by the analysis of variance (ANOVA). Based on the analysis, the best extraction efficiency (87.3%) was obtained at 0.25% (w/v) of TX-114, pH = 10, salt content of 15 mM NaCl, incubation temperature of 45 °C, and incubation time of 30 min. The results showed that surfactant concentration, pH, incubation time, and ionic strength exert significant effects on the extraction efficiency. Preconcentration factors of 62 and 220 were obtained with 0.25 and 0.05% (w/v) TX-114, respectively. The relative recoveries of ZnO NPs from different environmental waters were in the range 64-123% at 0.5-100 μg/L spiked levels. The ZnO NPs extracted into the TX-114-rich phase were characterized by transmission electron microscopy (TEM) combined with energy-dispersive X-ray spectroscopy (EDS) and UV-visible spectrometry. Based on the results, no significant changes in size and shape of NPs were observed compared to those in the water before extraction. The extracted ZnO NPs were determined after microwave digestion by ICPMS. A detection limit of 0.05 μg/L was achieved for ZnO NPs. The optimized conditions were successfully applied to the analysis of ZnO NPs in water samples.

Entities:  

Year:  2012        PMID: 22746396     DOI: 10.1021/ac300833t

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  7 in total

1.  Investigation of cloud point extraction for the analysis of metallic nanoparticles in a soil matrix.

Authors:  Hind El Hadri; Vincent A Hackley
Journal:  Environ Sci Nano       Date:  2016-10-19

Review 2.  Food Additive Zinc Oxide Nanoparticles: Dissolution, Interaction, Fate, Cytotoxicity, and Oral Toxicity.

Authors:  Su-Min Youn; Soo-Jin Choi
Journal:  Int J Mol Sci       Date:  2022-05-28       Impact factor: 6.208

3.  Toward a robust analytical method for separating trace levels of nano-materials in natural waters: cloud point extraction of nano-copper(II) oxide.

Authors:  Seyed Mohammad Majedi; Barry C Kelly; Hian Kee Lee
Journal:  Environ Sci Pollut Res Int       Date:  2013-11-29       Impact factor: 4.223

4.  Evaluation of polycaprolactone as a new sorbent coating for determination of polar organic compounds in water samples using membrane-SPME.

Authors:  Łukasz Marcinkowski; Adam Kloskowski; Agata Spietelun; Jacek Namieśnik
Journal:  Anal Bioanal Chem       Date:  2014-11-22       Impact factor: 4.142

5.  Can cloud point-based enrichment, preservation, and detection methods help to bridge gaps in aquatic nanometrology?

Authors:  Lars Duester; Anne-Lena Fabricius; Sven Jakobtorweihen; Allan Philippe; Florian Weigl; Andreas Wimmer; Michael Schuster; Muhammad Faizan Nazar
Journal:  Anal Bioanal Chem       Date:  2016-08-24       Impact factor: 4.142

6.  Fate Determination of ZnO in Commercial Foods and Human Intestinal Cells.

Authors:  Ye-Rin Jeon; Jin Yu; Soo-Jin Choi
Journal:  Int J Mol Sci       Date:  2020-01-09       Impact factor: 5.923

7.  ICP-MS-based characterization of inorganic nanoparticles--sample preparation and off-line fractionation strategies.

Authors:  Anne-Lena Fabricius; Lars Duester; Björn Meermann; Thomas A Ternes
Journal:  Anal Bioanal Chem       Date:  2013-12-01       Impact factor: 4.142

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.