The DOI matches its Crossref record.
Tunable Volatile-Organic-Compound Sensor by Using Au Nanoparticle Incorporation on MoS2
Abstract
Controlling the charge concentrations of two-dimensional (2D) materials is a critical requirement for realizing versatility and potential application of these materials in high-performance electronics and sensors. In order to exploit the novel chemical-sensing characteristics of 2D materials for sensitive and selective sensors, various functionalization methods are needed to ensure efficient doping of channels based on 2D materials. In the present study, the gas-sensing performance of MoS 2 has been significantly enhanced by controlled Au nanoparticle functionalization. By using the difference in reduction potential between the Au precursor and MoS 2 work functions, MoS 2 prepared by chemical exfoliation process was decorated with nanoparticles with sizes of tens of nanometers. The n-doping effect of Au nanoparticles was observed, that is, these particles were found to have facilitated in electron charge transfer from Au to MoS 2 . The controlled n-doping effect enables the tuning of the sensing of hydrocarbon-based volatile organic compounds (VOCs) and oxygen-functionalized compounds by MoS 2 . A significant step has therefore been made with this study toward solving the limitations imposed by previous MoS 2 -based sensors, which mostly produce a single response to various VOC analytes. This controllable chemical doping process for tuning the VOC-sensing performance of MoS 2 can eventually be used in early detection using multichannel sensing systems that have different responses and recognize patterns for target analytes.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Electrically-Transduced Chemical Sensors Based on Two-Dimensional Nanomaterials
Meng, Z., Stolz, R. M., Mendecki, L., & Mirica, K. A. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00311 · Cited by 773
Self‐Powered Photodetectors Based on 2D Materials
Qiao, H., Huang, Z., Ren, X., Liu, S., Zhang, Y., Qi, X., & Zhang, H. (2020) · Advanced Optical Materials · doi:10.1002/adom.201900765 · Cited by 435
Functional gas sensing nanomaterials: A panoramic view
Malik, R., Tomer, V. K., Mishra, Y. K., & Lin, L. (2020) · Applied Physics Reviews · doi:10.1063/1.5123479 · Cited by 410
MoS2‐Based Nanomaterials for Room‐Temperature Gas Sensors
Kumar, R., Zheng, W., Liu, X., Zhang, J., & Kumar, M. (2020) · Advanced Materials Technologies · doi:10.1002/admt.201901062 · Cited by 287
Metadata
- Authors
- Cho, S.-Y., Koh, H.-J., Yoo, H.-W., Kim, J.-S., & Jung, H.-T.
- Venue
- ACS Sensors
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-01-13
- Volume
- 2
- Issue
- 1
- Pages
- 183-189
- ISSN
- 2379-3694 (ISSN-L)
- OpenAlex
- W2570195629
- Cited by
- 170
- References
- 0
- FWCI
- 7.72
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Tunable Volatile-Organic-Compound Sensor by Using Au Nanoparticle Incorporation on MoS2. https://app.cochat.ai/papers/10.1021/acssensors.6b00801
- The paper
- Cho, S.-Y., Koh, H.-J., Yoo, H.-W., Kim, J.-S., & Jung, H.-T. (2017). Tunable Volatile-Organic-Compound Sensor by Using Au Nanoparticle Incorporation on MoS2. ACS Sensors. https://doi.org/10.1021/acssensors.6b00801
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.