Copper(II) sulfide nanostructures and its nanohybrids: recent trends, future perspectives and current challenges

Abstract

Among various metal chalcogenides, metal oxides and phases of copper sulfide, copper(II) sulfide (covellite, CuS) nanostructures have enjoyed special attentiveness from researchers and scientists across the world owing to their complicated structure, peculiar composition and valency, attractive and panoramic morphologies, optical and electrical conductivity, less toxicity, and biocompatibility that can be exploited in advanced and technological applications. This review paper presents a brief idea about crystal structure, composition, and various chemical methods. The mechanism and effect of reaction parameters on the evolution of versatile and attractive morphologies have been described. Physical properties of CuS and its hybrid nanostructures, such as morphology and optical, mechanical, electrical, thermal, and thermoelectrical properties, have been carefully reviewed. A concise account of CuS and its hybrid nanostructures’ diverse applications in emerging and recent applications such as energy storage devices (lithium-ion batteries, supercapacitance), sensors, field emission, photovoltaic cells, organic pollutant removal, electromagnetic wave absorption, and emerging biomedical field (drug delivery, photothermal ablation, deoxyribonucleic acid detection, anti-microbial and theranostic) has also been elucidated. Finally, the prospects, scope, and challenges of CuS nanostructures have been discussed precisely.

Graphical abstract

Keywords

copper sulfide / chemical synthesis method / morphology / electrical property / optical property / application

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Disclosure of potential conflicts of interests

The author declares that there is no conflict of interests.

Acknowledgements

The author is highly thankful to the Sardar Patel University, Mandi, Himachal Pradesh, India-175001 and Government College, Nadaun, District Hamirpur, Himachal Pradesh, India-177033 for unwavering support and moral support during data analysis and compilation.

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