Abstract

This review summarizes the recent research efforts and developments in nanomaterials for sensing volatile organic compounds (VOCs). The discussion focuses on key materials such as metal oxides (e.g., ZnO, SnO2, TiO2 WO3), conductive polymers (e.g., polypyrrole, polythiophene, poly(3,4-ethylenedioxythiophene)), and carbon-based materials (e.g., graphene, graphene oxide, carbon nanotubes), and their mutual combination due to their representativeness in VOCs sensing. Moreover, it delves into the main characteristics and tuning of these materials to achieve enhanced functionality (sensitivity, selectivity, speed of response, and stability). The usual synthesis methods and their advantages towards their integration with microsystems for practical applications are also remarked on. The literature survey shows the most successful systems include structured morphologies, particularly hierarchical structures at the nanometric scale, with intentionally introduced tunable “decorative impurities” or well-defined interfaces forming bilayer structures. These groups of modified or functionalized structures, in which metal oxides are still the main protagonists either as host or guest elements, have proved improvements in VOCs sensing. The work also identifies the need to explore new hybrid material combinations, as well as the convenience of incorporating other transducing principles further than resistive that allow the exploitation of mixed output concepts (e.g., electric, optic, mechanic).

Highlights

  • Among the few examples of volatile organic compounds (VOCs) sensing with pristine carbon-based materials (CbMs) materials (Table 4), we found that using pristine single-walled carbon nanotubes (SWCNTs) instead of multi-walled carbon nanotubes (MWCNTs) might be favorable to detect toluene at room temperature [85]

  • MWCNTs: multi-walled carbon nanotubes, PPy: polypyrrole, PTFE: polytetrafluoroethylene, PEDOT: poly(3,4-ethylenedioxythiophene), PSS: poly(styrenesulfonate), PANI: polyaniline, CD: cyclodextrin, GO: graphene oxide, rGO: reduced graphene oxide, v.r.: volumetric ratio, N/A: data not available, * CTL sensors: the response represents the relative CTL intensity, 100 : response and recovery time for 100 ppm, kHz : SAW sensors: frequency shift, NCC% : sensor efficiencies in%, RT: room temperature, c: concentration, T: operating temperature, R: response defined as Ra /Rg, tR : response time, and tr: recovery time

  • Nanomaterials based on metal oxides, conductive polymers, and carbon-based materials are representative in VOCs sensing

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Summary

Introduction

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. The key materials taken into account in this review are MOXs, POMs, and CbMs and their modifications, with a special effort dedicated to MOXs due to their large presence in the literature, even after several years of research in this field This can be noticed, which displays an example of the weight of reports for these materials in the recent five years, as well as the most common unmodified and modified MOXs (Figure 1b). Notice that the literature provides further examples of single and complex MOXs cations2021, with11,metals (based on elements from the transition, post-transition, lanthanide, and alkaline earth groups from the periodic table) than those presented here, but these examples are comparatively less recurrent in VOC sensing

Schematic toto search thethe literature reFigure
Tailoring Materials for Enhanced Sensing Properties to VOCs
20 Ø 4000
Modification or Functionalization—Pushing the Performance Further
Selectivity—In Search of Specificity
Cross-responses column to of different the to
Cross-responses in each to column different to of different
Cross-responses to to
Cross-responses to different
C O O C OO
20 Ø-NPs 100
3–7 IØ-MWCNTs
Transducing Platforms—On the Capture of the Sensor Response
Schematic
Synthesis of Materials—Path to the On-Chip Integration
Machine-Learning—Mimicking the Human Olfactory Systems
Objective
Findings
Outlook and Conclusions

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