Engineering Lanthanide Metal‐Organic Framework Nuclease Nanozymes: Unveiling Affinity‐Driven DNA Hydrolysis

ABSTRACT Nuclease nanozymes promise robust, tailorable alternatives to natural nucleases, but suffer from their limited hydrolytic activity due to the Lewis acidity‐centric mechanistic dogma and the unclear role of nanozyme–DNA interactions. Here, we report an affinity‐driven strategy that upends conventional cognition. A series of lanthanide metal‐organic frameworks (Ln‐MOFs) were constructed, with catalytic efficiency decoupled from simple acid strength. Activity increased with the lanthanide atomic number despite a decrease in nanozyme‐DNA affinity. Among these, Yb‐BDC (terephthalic acid‐based) exhibited the highest DNA‐cleaving efficiency reported to date (half‐life ≈ 30 min), yet showed minimal activity toward the traditional model substrate bis(4‐nitrophenyl) phosphate (BNPP), thereby challenging the conventional Lewis acidity‐driven paradigm. This unexpected inverse relationship reveals a critical binding‐release cycle as the true driver of DNA hydrolysis. Capitalizing on this discovery, we developed a synthetic CRISPR/Cas‐inspired biosensing platform by integrating Yb‐BDC with rolling circle amplification, replacing natural nucleases. This system enables ultrasensitive detection of non‐nucleic acid targets, expanding the scope of nanozymes in diagnostic applications. Our findings not only establish host–guest interaction engineering as a new paradigm for nuclease nanozymes design but also pioneer a modular framework for their application in biosensing technologies.

Authors

Institutions

Publication Details

Journal
Aggregate
Published
2025-10-29
DOI
https://doi.org/10.1002/agt2.70180
Citations
2
Primary Topic
Advanced Nanomaterials in Catalysis
Type
article
Field-Weighted Citation Impact
1.04

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Engineering Lanthanide Metal‐Organic Framework Nuclease Nanozymes: Unveiling Affinity‐Driven DNA Hydrolysis

Yuxiu Xiao, Jiyu Tong, Long Yu, Zhiwen Gan et al.
2 citations
Aggregate
Advanced Nanomaterials in Catalysis
1.04
article

Engineering Lanthanide Metal‐Organic Framework Nuclease Nanozymes: Unveiling Affinity‐Driven DNA Hydrolysis

Yuxiu Xiao, Jiyu Tong, Long Yu, Zhiwen Gan, Yongzhen Liu, Yumin Feng
article en
2 citations

Abstract

ABSTRACT Nuclease nanozymes promise robust, tailorable alternatives to natural nucleases, but suffer from their limited hydrolytic activity due to the Lewis acidity‐centric mechanistic dogma and the unclear role of nanozyme–DNA interactions. Here, we report an affinity‐driven strategy that upends conventional cognition. A series of lanthanide metal‐organic frameworks (Ln‐MOFs) were constructed, with catalytic efficiency decoupled from simple acid strength. Activity increased with the lanthanide atomic number despite a decrease in nanozyme‐DNA affinity. Among these, Yb‐BDC (terephthalic acid‐based) exhibited the highest DNA‐cleaving efficiency reported to date (half‐life ≈ 30 min), yet showed minimal activity toward the traditional model substrate bis(4‐nitrophenyl) phosphate (BNPP), thereby challenging the conventional Lewis acidity‐driven paradigm. This unexpected inverse relationship reveals a critical binding‐release cycle as the true driver of DNA hydrolysis. Capitalizing on this discovery, we developed a synthetic CRISPR/Cas‐inspired biosensing platform by integrating Yb‐BDC with rolling circle amplification, replacing natural nucleases. This system enables ultrasensitive detection of non‐nucleic acid targets, expanding the scope of nanozymes in diagnostic applications. Our findings not only establish host–guest interaction engineering as a new paradigm for nuclease nanozymes design but also pioneer a modular framework for their application in biosensing technologies.

AggregateVol. 6(11)
Wuhan University (CN), Zhongnan Hospital of Wuhan University (CN)
National Natural Science Foundation of China, Wuhan University, Large-Scale Instrument and Equipment Sharing Foundation of Wuhan University
Openalex Percentile: Top 21%
Advanced Nanomaterials in Catalysis
1.04
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.