Cited by 27Luminescence and Fluorescent MaterialsMolecular Sensors and Ion DetectionNanoplatforms for cancer theranostics

Thienothiadiazole-Based NIR-II Dyes with D–A–D Structure for NIR-II Fluorescence Imaging Systems

Sun, Pengfei, Chen, Yan, Sun, Bo, Zhang, Hua, Chen, Kai, Miao, Han, Fan, Quli, Huang, Wei·2021·ACS Applied Bio Materials

Abstract

Fluorescence imaging (FI) in the second near-infrared optical window (NIR-II, 1000–1700 nm) has received increasing focus due to its capacity of high spatiotemporal resolution, rapid real-time imaging, and deep penetration depth. In addition, D–A–D-based organic small molecules have also attracted wide attention due to their designed chemical structure and rapid renal metabolism. However, most of the fluorescent cores were based on benzobisthiadiazole (BBTD) and 6,7-diphenyl-[1,2,5]thiadiazolo[3,4- g ]quinoxaline (TTQ). The design and development of fluorescent core still remain challenging. Therefore, two NIR-II dyes based on the acceptor 4,6-di(2-thienyl)thieno[3,4- c ][1,2,5]thiadiazole (TTDT) were designed and developed with donors tributyl(5-(9,9-dioctyl-9H-fluoren-2-yl)thiophen-2-yl)stannane (TF) and (5-(9,9′-spirobi[fluoren]-2-yl)thiophen-2-yl)tributylstannane (TSF) by the Stille coupling reaction, respectively. Subsequently, the corresponding nanoparticles were prepared, and then TTDT-TF-based nanoparticles with superior photostability and strong NIR-II fluorescence signals were chosen for NIR-II FI. More importantly, the in vivo experiments suggested that TTDT-TF NPs exhibited significant accumulation at tumor sites and high signal-to-background ratio (SBR). The above results indicated that the two D–A–D-type fluorophores based on TTDT have potential for NIR-II FI with superior imaging quality and imaging-guided surgery or therapy.

Integrity signals

Registry

Crossref · 10.1021/acsabm.1c00274

Cites

35 of 35 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Sun, P., Chen, Y., Sun, B., Zhang, H., Chen, K., Miao, H., Fan, Q., & Huang, W.
Affiliations
  • Nanjing University of Posts and Telecommunications (CN)
  • Northwestern Polytechnical University (CN)
Corresponding author
  • Sun, Pengfei
  • Miao, Han
  • Fan, Quli
Venue
ACS Applied Bio Materials
Published
2021-04-29
Volume
4
Issue
5
Pages
4542-4548
ISSN
2576-6422 (ISSN-L)
OpenAlex
W3157680146
Cited by
27
References
35
Citations by year
2026: 3 · 2025: 7 · 2024: 4 · 2023: 7 · 2022: 6
FWCI
1.29
Type
journal article
Language
en
Open access
closed
Locations
  • ACS Applied Bio Materials (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Natural Science Foundation of Jiangsu Province (BK20201380)
  • Synergetic Innovation Center for Organic Electronics and Information Displays
  • National Natural Science Foundation of China (21604042, 21674048)
  • Primary Research & Development Plan of Jaingsu Province (BE2016770)
Topics
  • Physical Sciences › Materials Science › Materials Chemistry › Luminescence and Fluorescent Materials
  • Physical Sciences › Chemistry › Spectroscopy › Molecular Sensors and Ion Detection
  • Physical Sciences › Engineering › Biomedical Engineering › Nanoplatforms for cancer theranostics
Keywords
NIR-II fluorescence imaging, Stille coupling, fluorescent nanoparticles, tumor accumulation, photostability, image-guided surgery
MeSH terms
Density Functional Theory, Animals, Biocompatible Materials, Fluorescent Dyes, Infrared Rays, Materials Testing, Particle Size, Thiadiazoles, Thiophenes, Molecular Structure, Rats, Optical Imaging

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