The DOI matches its Crossref record.
Electronic sensing of vapors with organic transistors
Abstract
We show that organic thin-film transistors have suitable properties for use in gas sensors. Such sensors possess sensitivity and reproducibility in recognizing a range of gaseous analytes. A wealth of opportunities for chemical recognition arise from the variety of mechanisms associated with different semiconductor–analyte interactions, the ability to vary the chemical constitution of the semiconductor end/side groups, and also the nature of the thin-film morphology.
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
Organic Thin Film Transistors for Large Area Electronics
Dimitrakopoulos, C. D., & Malenfant, P. R. L. (2002) · Advanced Materials · doi:10.1002/1521-4095(20020116)14:2<99::aid-adma99>3.0.co;2-9 · Cited by 4,878
Hammock, M. L., Chortos, A., Tee, B. C. ‐., Tok, J. B. ‐., & Bao, Z. (2013) · Advanced Materials · doi:10.1002/adma.201302240 · Cited by 2,396
Self-citationMaynor, B. W., Filocamo, S. F., Grinstaff, M. W., & Liu, J. (2002) · Journal of the American Chemical Society · doi:10.1021/ja017365j · Cited by 320
Huang, W., Besar, K., LeCover, R., Dulloor, P., Sinha, J., Martínez Hardigree, J. F., Pick, C., Swavola, J., Everett, A. D., Frechette, J., et al. (2014) · Chem. Sci. · doi:10.1039/c3sc52638k · Cited by 83
Self-citationPoint-of-care temperature and respiration monitoring sensors for smart fabric applications
Jung, S., Ji, T., & Varadan, V. K. (2006) · Smart Materials and Structures · doi:10.1088/0964-1726/15/6/042 · Cited by 73
Metadata
- Authors
- Crone, B., Dodabalapur, A., Gelperin, A., Torsi, L., Katz, H. E., Lovinger, A. J., & Bao, Z.
- Venue
- Applied Physics Letters
- Publisher
- AIP Publishing
- Published
- 2001-04-09
- Volume
- 78
- Issue
- 15
- Pages
- 2229-2231
- ISSN
- 0003-6951 (ISSN-L)
- 1077-3118
- OpenAlex
- W2006676848
- Cited by
- 511
- References
- 0
- FWCI
- 25.09
- 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: Electronic sensing of vapors with organic transistors. https://app.cochat.ai/papers/10.1063/1.1360785
- The paper
- Crone, B., Dodabalapur, A., Gelperin, A., Torsi, L., Katz, H. E., Lovinger, A. J., & Bao, Z. (2001). Electronic sensing of vapors with organic transistors. Applied Physics Letters. https://doi.org/10.1063/1.1360785
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.
