Issue 33, 2018, Issue in Progress

Synthesis of MoS2 nanosheets for mercury speciation analysis by HPLC-UV-HG-AFS

Abstract

Mercury species have aroused wide concern in the past several decades due to their high toxicity. However, it is still difficult to detect ultra-trace mercury species due to their biochemical transformation in complex samples. To establish a simpler and more sensitive method for pre-concentration and determination of trace mercury species, molybdenum disulfide (MoS2) nanosheets with sulfur-rich characteristics and enlarged interlayer spacing were prepared by a hydrothermal method coupled with a sonication-assisted liquid exfoliation method and acted as solid-phase extraction adsorbent. The nano-MoS2 had high adsorption capacity, fast adsorption rate and excellent selectivity towards mercury ions (Hg2+), methyl mercury (MeHg+) and ethyl mercury (EtHg+) in a wide pH range and complex matrices. And it could be easily regenerated by 4 mol L−1 HCl and reused several times. After optimizing HPLC-UV-HG-AFS conditions, a great linearity (1.0–10.0 μg L−1, R2 = 0.999 for Hg2+, MeHg+ and EtHg+), lower detection limits (0.017, 0.037 and 0.021 ng mL−1 for Hg2+, MeHg+ and EtHg+, respectively), relative standard deviations (<5%) and addition recoveries of the samples within 82.75–113.38% were observed. In summary, trace inorganic and organic mercury species in environmental and biological samples could be selectively enriched by the prepared nano-MoS2 and efficiently seperated and detected by HPLC-UV-HG-AFS. The present study will help provide a better strategy for environmental monitoring and health assessment of mercury pollutants.

Graphical abstract: Synthesis of MoS2 nanosheets for mercury speciation analysis by HPLC-UV-HG-AFS

Article information

Article type
Paper
Submitted
04 Mar 2018
Accepted
11 May 2018
First published
18 May 2018
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2018,8, 18364-18371

Synthesis of MoS2 nanosheets for mercury speciation analysis by HPLC-UV-HG-AFS

X. Gao, J. Dai, H. Zhao, J. Zhu, L. Luo, R. Zhang, Z. Zhang and L. Li, RSC Adv., 2018, 8, 18364 DOI: 10.1039/C8RA01891J

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