Harnessing selectivity in chemical sensing via supramolecular interactions: from functionalization of nanomaterials to device applications

Abstract

Chemical sensing is a strategic field of science and technology ultimately aiming at improving the quality of our lives and the sustainability of our Planet. Sensors bear a direct societal impact on well-being, which includes the quality and composition of the air we breathe, the water we drink, and the food we eat. Pristine low-dimensional materials are widely exploited as highly sensitive elements in chemical sensors, although they suffer from lack of intrinsic selectivity towards specific analytes. Here, we showcase the most recent strategies on the use of (supra)molecular interactions to harness the selectivity of suitably functionalized 0D, 1D, and 2D low-dimensional materials for chemical sensing. We discuss how the design and selection of receptors via machine learning and artificial intelligence hold a disruptive potential in chemical sensing, where selectivity is achieved by the design and high-throughput screening of large libraries of molecules exhibiting a set of affinity parameters that dictates the analyte specificity. We also discuss the importance of achieving selectivity along with other relevant characteristics in chemical sensing, such as high sensitivity, response speed, and reversibility, as milestones for true practical applications. Finally, for each distinct class of low-dimensional material, we present the most suitable functionalization strategies for their incorporation into efficient transducers for chemical sensing.

Graphical abstract: Harnessing selectivity in chemical sensing via supramolecular interactions: from functionalization of nanomaterials to device applications

Article information

Article type
Review Article
Submitted
15 Jul 2021
Accepted
16 Aug 2021
First published
16 Aug 2021

Mater. Horiz., 2021, Advance Article

Harnessing selectivity in chemical sensing via supramolecular interactions: from functionalization of nanomaterials to device applications

R. Furlan de Oliveira, V. Montes-García, A. Ciesielski and P. Samorì, Mater. Horiz., 2021, Advance Article , DOI: 10.1039/D1MH01117K

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements