The DOI matches its Crossref record.
Squaraine-Derived Rotaxanes: Sterically Protected Fluorescent Near-IR Dyes
Abstract
A squaraine dye with bulky end groups is employed as the thread component in two Leigh-type amide rotaxanes. The rotaxanes are synthesized in a simple two-step process. X-ray crystal structures of the rotaxanes show that the pyridyl-containing macrocycle is more rigid and wraps more tightly around the cyclobutene core of the squaraine thread compared to the isophthalamide-containing macrocycle. The rotaxanes exhibit photophysical properties that are similar to the precursor squaraine. The encapsulating macrocycle greatly increases the chemical stability of the squaraine thread and inhibits aggregation-induced broadening of its absorption spectrum. It should be possible to prepare squaraine-derived rotaxanes with improved properties for a wide range of photophysical, photochemical, and biomedical applications.
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
Mechanically interlocked materials. Rotaxanes and catenanes beyond the small molecule
Mena-Hernando, S., & Pérez, E. M. (2019) · Chemical Society Reviews · doi:10.1039/c8cs00888d · Cited by 303
Xu, H., Cheng, L., Wang, C., Ma, X., Li, Y., & Liu, Z. (2011) · Biomaterials · doi:10.1016/j.biomaterials.2011.08.053 · Cited by 301
A general approach to the design of high-performance near-infrared (NIR) D-π-A type fluorescent dyes
Luo, X., Li, J., Zhao, J., Gu, L., Qian, X., & Yang, Y. (2019) · Chinese Chemical Letters · doi:10.1016/j.cclet.2019.03.012 · Cited by 119
Metadata
- Authors
- Arunkumar, E., Forbes, C. C., Noll, B. C., & Smith, B. D.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2005-02-18
- Volume
- 127
- Issue
- 10
- Pages
- 3288-3289
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W1995839347
- Cited by
- 300
- References
- 0
- FWCI
- 6.35
- 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: Squaraine-Derived Rotaxanes: Sterically Protected Fluorescent Near-IR Dyes. https://app.cochat.ai/papers/10.1021/ja042404n
- The paper
- Arunkumar, E., Forbes, C. C., Noll, B. C., & Smith, B. D. (2005). Squaraine-Derived Rotaxanes: Sterically Protected Fluorescent Near-IR Dyes. Journal of the American Chemical Society. https://doi.org/10.1021/ja042404n
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.