Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 196

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

A Highly Selective and Multisignaling Optical−Electrochemical Sensor for Hg2+ Based on a Phosphorescent Iridium(III) Complex

Zhao, Qiang, Cao, Tianye, Li, Fuyou, Li, Xianghong, Jing, Hao, Yi, Tao, Huang, Chunhui·2007·Organometallics

Abstract

A highly selective phosphorescent chemosensor for Hg 2+ based on the iridium(III) complex Ir(btp) 2 (acac) was realized. Multisignaling changes were observed through UV−vis absorption, phosphorescent emission, and electrochemical measurements. Upon addition of Hg 2+, the obvious spectral blue-shifts in absorption and phosphorescent emission bands were measured for Ir(btp) 2 (acac), which could be observed by the naked eye. Further investigation indicated that the interaction between Hg 2+ and the sulfur of cyclometalated ligands is responsible for the significant variation in optical and electrochemical signals, which was also confirmed by density functional theory (DFT) calculation. It is the charge transfer from the iridium center to cyclometalated ligands that increases the electron density of cyclometalated ligands, which makes the coordination of sulfur to Hg 2+ easier.

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/om061031r

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 196

Metadata

Authors
Zhao, Q., Cao, T., Li, F., Li, X., Jing, H., Yi, T., & Huang, C.
Venue
Organometallics
Published
2007-03-09
Volume
26
Issue
8
Pages
2077-2081
ISSN
  • 0276-7333 (ISSN-L)
  • 1520-6041
OpenAlex
W2022698528
Cited by
196
References
1
FWCI
7.55
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: A Highly Selective and Multisignaling Optical−Electrochemical Sensor for Hg2+ Based on a Phosphorescent Iridium(III) Complex. https://app.cochat.ai/papers/10.1021/om061031r
The paper
Zhao, Q., Cao, T., Li, F., Li, X., Jing, H., Yi, T., & Huang, C. (2007). A Highly Selective and Multisignaling Optical−Electrochemical Sensor for Hg2+ Based on a Phosphorescent Iridium(III) Complex. Organometallics. https://doi.org/10.1021/om061031r

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.