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March 21, 2026Journal of the American Chemical Society18 citations

Mixed-Lanthanide Metal–Organic Frameworks for Near-Infrared-I Bioimaging and Near-Infrared-III Four-Photon Upconversion

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XYXiaolin YuZZZhihua ZhouNZNikolaj A. Zhestkij

Key Points

  • The aim is to enhance the functionality of lanthanide-based metal-organic frameworks for bioimaging and upconversion luminescence.
  • Developed a MOF incorporating Yb3+, Tb3+, and Eu3+ ions.
  • Utilized ether-containing organic linkers for improved stability.
  • Evaluated luminescence under NIR-I and NIR-III excitations.
  • Conducted in vivo imaging tests in zebrafish models.
  • Demonstrated tunable multicolor upconversion emission with high stability under NIR-I excitation.
  • Achieved four-photon upconversion under NIR-III excitation for the first time in this framework.
  • Confirmed hydrolytic stability and biocompatibility suitable for biological applications.

Abstract

Lanthanide-based metal–organic frameworks (Ln-MOFs) provide a structurally precise platform for upconversion luminescence engineering, yet practical applications are limited by insufficient structural stability, restricted color tunability, and the lack of excitation in the NIR-III window. Here, we report a MOF incorporating mixed-lanthanide Yb3+, Tb3+, and Eu3+ ions that addresses these challenges. The optically transparent and periodic framework enforces a uniform spatial distribution of lanthanide centers and establishes stepwise interionic energy transfer pathways, while ether-containing organic linkers enhance photo and thermal stability. Under NIR-I (980 nm) excitation, the Ln-MOFs exhibit tunable multicolor upconversion emission with high hydrolytic stability and biocompatibility, enabling reliable in vivo imaging in zebrafish models. Remarkably, under NIR-III (1960 nm) excitation, a four-photon upconversion process is observed for the first time in Ln-MOFs. Together, these results expand the excitation landscape of Ln-MOFs from NIR-I to NIR-III and confirm the potential of structurally programmable Ln-MOFs for bioimaging and nonlinear photonic applications.

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Cite This Study

Yu et al. (2026) studied this question.

synapsesocial.com/papers/69be34d16e48c4981c672fb9https://doi.org/10.1021/jacs.6c00409
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