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Cited by 218

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Sensitive and Selective Colorimetric Visualization of Cerebral Dopamine Based on Double Molecular Recognition

Kong, Biao, Zhu, Anwei, Luo, Yongping, Tian, Yang, Yu, Yanyan, Shi, Guoyue·2011·Angewandte Chemie International Edition
DOI 10.1002/anie.201007071
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Abstract

Seeing is believing: A direct, selective, and sensitive strategy for colorimetric visualization of cerebral dopamine has been developed for the first time using gold nanoparticles through the design of double molecular recognition (see picture). The simplicity of this method establishes a facile and reliable approach for monitoring cerebral species in brain chemistry, which may be related to physiological and pathological events.

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Metadata

Authors
Kong, B., Zhu, A., Luo, Y., Tian, Y., Yu, Y., & Shi, G.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2011-01-18
Volume
50
Issue
8
Pages
1837-1840
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
DOI
10.1002/anie.201007071
OpenAlex
W2113066154
Cited by
218
References
3
FWCI
8.96
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Sensitive and Selective Colorimetric Visualization of Cerebral Dopamine Based on Double Molecular Recognition. https://app.cochat.ai/papers/10.1002/anie.201007071
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Kong, B., Zhu, A., Luo, Y., Tian, Y., Yu, Y., & Shi, G. (2011). Sensitive and Selective Colorimetric Visualization of Cerebral Dopamine Based on Double Molecular Recognition. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201007071

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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.