Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 199

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Self-powered ammonia nanosensor based on the integration of the gas sensor and triboelectric nanogenerator

Cui, Siwen, Zheng, Youbin, Zhang, Tingting, Wang, Daoai, Zhou, Feng, Liu, Weimin·2018·Nano Energy

Abstract

Abstract A new self-powered ammonia (NH3) nanosensor with flexibility, portability, good selectivity and sensitivity has been developed from conducting polyaniline nanofibers (PANI NFs) based triboelectric nanogenerator (TENG). The power supply and gas sensor have been successfully integrated into one device. The PANI NFs with NH3 sensing property work both as a frictional layer and an electrode in the TENG. The TENG shows high output performance with the maximum short current circuit of 45.70 μA and output voltage of 1186 V in air, while its output voltage is obviously reduced in varying degrees after being exposed to NH3 with different concentrations, resulting from the change of electroconductivity of PANI, which is the design principle of the NH3 sensor. Meanwhile, this NH3 nanosensor exhibits good selectivity and sensitivity with the limit detection of 500 ppm at room temperature. This work proposes a new thought to design the self-powered NH3 nanosensor, which has the widespread application prospect to harvest ambient energy for detecting toxic NH3 without any external power sources.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.nanoen.2018.04.033

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cites

Show all 1 references

Cited by

See all 199

Metadata

Authors
Cui, S., Zheng, Y., Zhang, T., Wang, D., Zhou, F., & Liu, W.
Venue
Nano Energy
Publisher
Elsevier BV
Published
2018-07
Volume
49
Pages
31-39
ISSN
2211-2855 (ISSN-L)
OpenAlex
W2797632018
Cited by
199
References
1
FWCI
8.12
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: Self-powered ammonia nanosensor based on the integration of the gas sensor and triboelectric nanogenerator. https://app.cochat.ai/papers/10.1016/j.nanoen.2018.04.033
The paper
Cui, S., Zheng, Y., Zhang, T., Wang, D., Zhou, F., & Liu, W. (2018). Self-powered ammonia nanosensor based on the integration of the gas sensor and triboelectric nanogenerator. Nano Energy. https://doi.org/10.1016/j.nanoen.2018.04.033

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.