4.6 Review

Recent Advances in Nanomaterials for Analysis of Trace Heavy Metals

期刊

CRITICAL REVIEWS IN ANALYTICAL CHEMISTRY
卷 51, 期 4, 页码 353-372

出版社

TAYLOR & FRANCIS INC
DOI: 10.1080/10408347.2020.1736505

关键词

Heavy metals; nanomaterials; preconcentration; sensor; separation

资金

  1. Natural Science Foundation of China [21675019, 21727811, 21874014]

向作者/读者索取更多资源

This review discusses the application of nanomaterials in heavy metal analysis and emphasizes the importance of functionalizing traditional materials and utilizing bio-functional materials to enhance specificity. The hybridization of multiple materials can improve material properties, enabling the development of novel sensor systems or achieving detection-removal integration. Despite progress, challenges remain in the specificity and anti-interference performance of new nanomaterials and nanotechnology.
In an effort to achieve high sensitivity analysis methods for ultra-trace levels of heavy metals, numerous new nanomaterials are explored for the application in preconcentration processes and sensing systems. Nanomaterial-based methods have proven to be effective for selective analysis and speciation of heavy metals in combination with spectrometric techniques. This review outlined the different types of nanomaterials applied in the field of heavy metal analysis, and concentrated on the latest developments in various new materials. In particular, the functionalization of traditional materials and the exploitation of bio-functional materials could increase the specificity to target metals. The hybridization of multiple materials could improve material properties, to build novel sensor system or achieve detection-removal integration. Finally, we discussed the future perspectives of nanomaterials in the heavy metal preconcentration and sensor design, as well as their respective advantages and challenges. Despite impressive progress and widespread attention, the development of new nanomaterials and nanotechnology is still hampered by numerous challenges, particularly in the specificity to the target and the anti-interference performance in complex matrices.

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