Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 186

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

Polymeric Sensor Materials: Toward an Alliance of Combinatorial and Rational Design Tools?

Potyrailo, Radislav A.·2006·Angewandte Chemie International Edition

Abstract

Increased selectivity, response speed, and sensitivity in the chemical and biological determinations of gases and liquids are of great interest. Particular attention is paid to polymeric sensor materials, which are applicable to sensors exploiting various energy transduction principles, such as radiant, electrical, mechanical, and thermal energy. Ideally, numerous functional parameters of sensor materials can be tailored to meet specific needs using rational design approaches. However, increasing the structural and functional complexity of polymeric sensor materials makes it more difficult to predict the desired properties. Combinatorial and high‐throughput methods have had an impact on all areas of research on polymer‐based sensor materials including homo‐ and copolymers, formulated materials, polymeric structures with engineered morphology, and molecular shape‐recognition materials. Herein we report on the state‐of‐the‐art, the development trends, and the remaining knowledge gaps in the area of combinatorial polymeric sensor materials design.

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 · 10.1002/anie.200500828

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

Cited by

See all 186

Metadata

Authors
Potyrailo, R. A.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2006-01-17
Volume
45
Issue
5
Pages
702-723
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2109890692
Cited by
186
References
1
FWCI
24.97
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: Polymeric Sensor Materials: Toward an Alliance of Combinatorial and Rational Design Tools? https://app.cochat.ai/papers/10.1002/anie.200500828
The paper
Potyrailo, R. A. (2006). Polymeric Sensor Materials: Toward an Alliance of Combinatorial and Rational Design Tools? Angewandte Chemie International Edition. https://doi.org/10.1002/anie.200500828

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.