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Original Articles

Silica nanoparticle-covered Graphene Oxide as solid-phase extraction sorbent coupled with FAAS for the determination of some of heavy metals in water sample

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Pages 8402-8418 | Received 10 Sep 2020, Accepted 03 Nov 2020, Published online: 24 Nov 2020
 

ABSTRACT

The current study portrays a dispersive solid-phase extraction as a silica nanoparticle-covered Graphene Oxide(GO-SiO2) synthesised with some modification as in the literature and developed removal/preconcentration method for selective extraction of some heavy metal in water samples. Flame atomic absorption spectrophotometry (FAAS) was used to measure in optimum conditions for the proposed method. Field emission scanning electron microscope (FESEM) and X-beam diffraction (XRD) were utilised for the characterisation of solid phase. The developed method presents high surface areas for sorption capacity and a low amount of solid phase. The removal percentage was performed at approximately 100% with pH 4 to 10 for all metal ions. According to validation results under the optimised method, the limits of detection (LODs) and quantification (LOQs) were found in the range of 5.8–23.0 µg L−1 and 16.0 − 38.1 µg L−1, respectively. The developed method was applied by using certified reference material (BCR 715) for trueness, which observed high relative recovery with lower than 11.8% relative error except for Pb and Cd. The comparison between the experimental results and the certified reference material indicated that the accuracy of the method is higher than 90%. The proposed method was effectively practised for five water samples with standard addition.

Acknowledgments

Thanks to Dr. DuyguTAKANOĞLU BULUT for comment of material characterization, Dr. Canan ONAÇ and Analytical Chemistry Research Groups for support in the experiments.

Disclosure statement

No potential conflict of interest was supported by the author.

Additional information

Funding

This study was supported by funds from the Scientific Research Projects (SRP) Coordination Unit of PamukkaleUniversity (Project number: 2019FEBE003)

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