Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 291

The DOI matches its Crossref record.

Multifunctional Chemical Vapor Sensors of Aligned Carbon Nanotube and Polymer Composites

Wei, Chen, Dai, Liming, Roy, Ajit, Tolle, Tia Benson·2006·Journal of the American Chemical Society

Abstract

Partially coating perpendicularly aligned carbon nanotube arrays with an appropriate polymer thin film along their tube length provides a novel concept for developing new sensors of high sensitivity, good selectivity, and excellent environmental stability for the detection of a broad class of chemical vapors with low power consumption. The absorption and desorption of chemical vapors by the polymer matrix cause changes in the inter-tube distance and, hence, the surface resistance across the nanotube film. Simple measurements of the resistance change, therefore, constitute the nanotube-polymer chemical vapor sensors. These rationally designed, aligned carbon nanotube-polymer composite films are flexible and can be effectively integrated into many systems for a wide range of potential applications, including their use as multifunctional sensors for sensing chemical vapors, mechanical deformations, thermal and optical exposures.

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 · 10.1021/ja0570335

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.

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

Cited by

See all 291

Metadata

Authors
Wei, C., Dai, L., Roy, A., & Tolle, T. B.
Venue
Journal of the American Chemical Society
Published
2006-01-13
Volume
128
Issue
5
Pages
1412-1413
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W1977786515
Cited by
291
References
0
FWCI
24.63
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: Multifunctional Chemical Vapor Sensors of Aligned Carbon Nanotube and Polymer Composites. https://app.cochat.ai/papers/10.1021/ja0570335
The paper
Wei, C., Dai, L., Roy, A., & Tolle, T. B. (2006). Multifunctional Chemical Vapor Sensors of Aligned Carbon Nanotube and Polymer Composites. Journal of the American Chemical Society. https://doi.org/10.1021/ja0570335

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.