Raw Data Library
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
Green Science
​
​
EN
Kurumsal BaşvuruSign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User GuideGreen Science

Language

Kurumsal Başvuru

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Contact

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2026 Raw Data Library. All rights reserved.
PrivacyTermsContact
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. High-Luminescence Efficiency NIR-II Nanocrystals via Hierarchical Confinements for Imaging-Guided Surgery of Acute Intestinal Ischemia

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Article
en
2025

High-Luminescence Efficiency NIR-II Nanocrystals via Hierarchical Confinements for Imaging-Guided Surgery of Acute Intestinal Ischemia

0 Datasets

0 Files

en
2025
Vol 147 (33)
Vol. 147
DOI: 10.1021/jacs.5c05981

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Ben Zhong Tang
Ben Zhong Tang

Institution not specified

Verified
Fulong Ma
Ben Zhong Tang
Bingzhe Wang
+9 more

Abstract

Among the diverse challenges encountered by fluorescence imaging in the second near-infrared region (NIR-II, 1000-1700 nm), achieving high quantum yields (QYs) for contrast agents is critical yet rarely addressed. Herein, we demonstrate an approach to overcoming this issue through rational structural design that leverages hierarchical confinements at both molecular and aggregate levels. Through an alteration of methyl substituents, the rotational freedom of aromatic rings is effectively reduced, facilitating the formation of rigid mortise-and-tenon joints within the crystal lattice. As a result, an absolute QY of 9.7% is achieved in the crystal state. Moreover, the abundant intermolecular noncovalent interactions endow B-ToMeT with crystallization ability, enabling the assembly of nanocrystals (NCs) formed in aqueous solution, whose emission peak is 970 nm with an exceptionally high relative QY of 28.2%. This underscores the remarkable advantage of the hierarchical confinement strategy. By using the ultrabright NCs for real-time monitoring of intestinal vessels in the living system, early diagnosis and surgical treatment of acute intestinal ischemia can be realized, indicating the great potential of this molecular design for high-performance NIR-II materials in in vivo imaging and surgery navigation.

How to cite this publication

Fulong Ma, Ben Zhong Tang, Bingzhe Wang, Zongwen Liang, Siwei Zhang, Jinhui Jiang, Haozhe Tan, Guichuan Xing, Ryan T. K. Kwok, Jacky W. Y. Lam, Zheng Zhao, Ben Zhong Tang (2025). High-Luminescence Efficiency NIR-II Nanocrystals via Hierarchical Confinements for Imaging-Guided Surgery of Acute Intestinal Ischemia. , 147(33), DOI: https://doi.org/10.1021/jacs.5c05981.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Article

Year

2025

Authors

12

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1021/jacs.5c05981

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access