Disordered-nanoparticle–based etalon for ultrafast humidity-responsive colorimetric sensors and anti-counterfeiting displays

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Abstract

The development of real-time and sensitive humidity sensors is in great demand from smart home automation and modern public health. We hereby proposed an ultrafast and full-color colorimetric humidity sensor that consists of chitosan hydrogel sandwiched by a disordered metal nanoparticle layer and reflecting substrate. This hydrogel-based resonator changes its resonant frequency to external humidity conditions because the chitosan hydrogels are swollen under wet state and contracted under dry state. The response time of the sensor is ~10 ⁴ faster than that of the conventional Fabry-Pérot design. The origins of fast gas permeation are membrane pores created by gaps between the metal nanoparticles. Such instantaneous and tunable response of a new hydrogel resonator is then exploited for colorimetric sensors, anti-counterfeiting applications, and high-resolution displays.

Abstract

The disordered metal nanoparticle–based etalon acts as an ultrafast response colorimetric gas sensor with high color purity.

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Most cited references 45

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Metal Oxide Gas Sensors: Sensitivity and Influencing Factors

Chengxiang Wang, Longwei Yin, Luyuan Zhang … (2010)

Conductometric semiconducting metal oxide gas sensors have been widely used and investigated in the detection of gases. Investigations have indicated that the gas sensing process is strongly related to surface reactions, so one of the important parameters of gas sensors, the sensitivity of the metal oxide based materials, will change with the factors influencing the surface reactions, such as chemical components, surface-modification and microstructures of sensing layers, temperature and humidity. In this brief review, attention will be focused on changes of sensitivity of conductometric semiconducting metal oxide gas sensors due to the five factors mentioned above.

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Electromagnetic parameter retrieval from inhomogeneous metamaterials.

D Smith, D Vier, Th Koschny … (2005)

We discuss the validity of standard retrieval methods that assign bulk electromagnetic properties, such as the electric permittivity epsilon and the magnetic permeability mu, from calculations of the scattering (S) parameters for finite-thickness samples. S-parameter retrieval methods have recently become the principal means of characterizing artificially structured metamaterials, which, by nature, are inherently inhomogeneous. While the unit cell of a metamaterial can be made considerably smaller than the free space wavelength, there remains a significant variation of the phase across the unit cell at operational frequencies in nearly all metamaterial structures reported to date. In this respect, metamaterials do not rigorously satisfy an effective medium limit and are closer conceptually to photonic crystals. Nevertheless, we show here that a modification of the standard S-parameter retrieval procedure yields physically reasonable values for the retrieved electromagnetic parameters, even when there is significant inhomogeneity within the unit cell of the structure. We thus distinguish a metamaterial regime, as opposed to the effective medium or photonic crystal regimes, in which a refractive index can be rigorously established but where the wave impedance can only be approximately defined. We present numerical simulations on typical metamaterial structures to illustrate the modified retrieval algorithm and the impact on the retrieved material parameters. We find that no changes to the standard retrieval procedures are necessary when the inhomogeneous unit cell is symmetric along the propagation axis; however, when the unit cell does not possess this symmetry, a modified procedure--in which a periodic structure is assumed--is required to obtain meaningful electromagnetic material parameters.

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A Survey on Gas Sensing Technology

Xiao Liu, Sitian Cheng, Hong-Hong Liu … (2012)

Sensing technology has been widely investigated and utilized for gas detection. Due to the different applicability and inherent limitations of different gas sensing technologies, researchers have been working on different scenarios with enhanced gas sensor calibration. This paper reviews the descriptions, evaluation, comparison and recent developments in existing gas sensing technologies. A classification of sensing technologies is given, based on the variation of electrical and other properties. Detailed introduction to sensing methods based on electrical variation is discussed through further classification according to sensing materials, including metal oxide semiconductors, polymers, carbon nanotubes, and moisture absorbing materials. Methods based on other kinds of variations such as optical, calorimetric, acoustic and gas-chromatographic, are presented in a general way. Several suggestions related to future development are also discussed. Furthermore, this paper focuses on sensitivity and selectivity for performance indicators to compare different sensing technologies, analyzes the factors that influence these two indicators, and lists several corresponding improved approaches.

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Author and article information

Contributors

Chunghwan Jung:

ORCID: https://orcid.org/0000-0003-3799-6203

Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: ValidationRole: VisualizationRole: Writing - original draftRole: Writing - review & editing

Soo-Jung Kim:

ORCID: https://orcid.org/0000-0001-7075-7891

Role: ConceptualizationRole: InvestigationRole: MethodologyRole: ResourcesRole: ValidationRole: VisualizationRole: Writing - original draftRole: Writing - review & editing

Jaehyuck Jang:

ORCID: https://orcid.org/0000-0003-3082-7909

Role: ConceptualizationRole: MethodologyRole: SoftwareRole: Writing - original draftRole: Writing - review & editing

Joo Hwan Ko:

ORCID: https://orcid.org/0000-0001-8129-4319

Role: InvestigationRole: Methodology

Doa Kim:

ORCID: https://orcid.org/0000-0002-6495-9902

Role: Data curation

Byoungsu Ko:

ORCID: https://orcid.org/0000-0001-7844-9690

Role: InvestigationRole: ResourcesRole: Validation

Young Min Song:

ORCID: https://orcid.org/0000-0002-4473-6883

Role: Data curation

Sung-Hoon Hong:

ORCID: https://orcid.org/0000-0002-3408-2820

Role: ConceptualizationRole: Data curationRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: SupervisionRole: VisualizationRole: Writing - original draftRole: Writing - review & editing

Junsuk Rho:

ORCID: https://orcid.org/0000-0002-2179-2890

Role: ConceptualizationRole: Data curationRole: Funding acquisitionRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: VisualizationRole: Writing - review & editing

Journal

Journal ID (nlm-ta): Sci Adv

Journal ID (iso-abbrev): Sci Adv

Journal ID (publisher-id): sciadv

Journal ID (hwp): advances

Title: Science Advances

Publisher: American Association for the Advancement of Science

ISSN (Electronic): 2375-2548

Publication date Collection: March 2022

Publication date (Electronic, pub): 11 March 2022

Volume: 8

Issue: 10

Electronic Location Identifier: eabm8598

Affiliations

[1 ]Department of Chemical Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea.

[2 ]ICT Materials and Components Research Laboratory, Electronics and Telecommunications Research Institute (ETRI), Daejeon 34129, Republic of Korea.

[3 ]School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea.

[4 ]Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea.

[5 ]POSCO-POSTECH-RIST Convergence Research Center for Flat Optics and Metaphotonics, Pohang 37673, Republic of Korea.

Author notes

[* ]Corresponding author. Email: shong@ 123456etri.re.kr (S.-H.H.); jsrho@ 123456postech.ac.kr (J.R.)

[†]

These authors contributed equally to this work.

Author information

Chunghwan Jung https://orcid.org/0000-0003-3799-6203

Soo-Jung Kim https://orcid.org/0000-0001-7075-7891

Jaehyuck Jang https://orcid.org/0000-0003-3082-7909

Joo Hwan Ko https://orcid.org/0000-0001-8129-4319

Doa Kim https://orcid.org/0000-0002-6495-9902

Byoungsu Ko https://orcid.org/0000-0001-7844-9690

Young Min Song https://orcid.org/0000-0002-4473-6883

Sung-Hoon Hong https://orcid.org/0000-0002-3408-2820

Junsuk Rho https://orcid.org/0000-0002-2179-2890

Article

Publisher ID: abm8598

DOI: 10.1126/sciadv.abm8598

PMC ID: 8916721

PubMed ID: 35275712

SO-VID: a3a39484-f0c0-401a-86e1-9639e854fcb2

Copyright © Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).

License:

This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.

History

Date received : 17 October 2021

Date accepted : 21 January 2022

Funding

Funded by: FundRef http://dx.doi.org/10.13039/100008256, Hyundai Motor Group;

Award ID: Hyundai Motor Chung Mong-Koo fellowship

Funded by: FundRef http://dx.doi.org/10.13039/501100003696, Electronics and Telecommunications Research Institute;

Award ID: 21ZB1130

Funded by: Samsung Research Funding and Incubation Center for Future Technology;

Award ID: SRFC-IT1901-05

Funded by: POSCO;

Award ID: POSCO-POSTECH-RIST Convergence Research Center program

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Disordered-nanoparticle–based etalon for ultrafast humidity-responsive colorimetric sensors and anti-counterfeiting displays

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Most cited references 45

Metal Oxide Gas Sensors: Sensitivity and Influencing Factors

Electromagnetic parameter retrieval from inhomogeneous metamaterials.

A Survey on Gas Sensing Technology

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