Self-aggregated photo-heterostructures enhancing fluorescence for cancer diagnosis and treatment monitoring

Semiconductor zinc oxide (ZnO) nanostructures as classic photonic materials have sparked the development of low-cost, high-performance fluorescence sensors; however, their scalable clinical applications remain hampered by inadequate sensitivity. Here, we engineer a high-curvature photo-heterostructure aggregate-enhanced fluorescence (PAEF) sensor based on bubble-scaffolded ZnO nanorods. Leveraging synergistic evanescent field coupling and self-aggregation of photo-heterostructures, PAEF sensor streamlines efficient isolation (~90%) and ultrasensitive profiling of tumor extracellular vesicles (EVs) in a single assay, achieving sensitivity <10 EVs/μL (104-fold better than ELISA) without additional amplification, outperforming most state-of-the-art EV fluorescence assays. This self-sufficient sensor enables accurate monitoring of targeted therapeutic efficacy in mouse xenograft models via simultaneous dual-marker readout. We further show its clinical utility in hepatocellular carcinoma diagnosis with ≥96% accuracy (≥98% specificity) in two cohorts (n = 146), improving dynamic monitoring of surgical treatment responses, particularly in alpha-fetoprotein-negative patients. This work provides a cost-effective ultrasensitive liquid biopsy tool advancing non-invasive cancer diagnosis. Fluorescent detection approaches often require specialist equipment or have limited sensitivity. Here, the authors develop a bubble-scaffolded zinc oxide nanorod photo heterostructure aggregate for fluoresce enhancement demonstrating application for detection of circulating extracellular vesicles.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2026-09-25
DOI
https://doi.org/10.1038/s41467-026-78181-w
Primary Topic
Nanoplatforms for cancer theranostics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Self-aggregated photo-heterostructures enhancing fluorescence for cancer diagnosis and treatment monitoring

Xinchun Li, Min Fang, Binqi Wei, Linfeng Mao et al.
Nature Communications
Nanoplatforms for cancer theranostics
article

Self-aggregated photo-heterostructures enhancing fluorescence for cancer diagnosis and treatment monitoring

Xinchun Li, Min Fang, Binqi Wei, Linfeng Mao, Fan Yang, You Li, Hao Lü, Yuyuan Zhang, Xifeng Mo, Xiaojie Qin, Yu Yang, Yuming Tang
article en

Abstract

Semiconductor zinc oxide (ZnO) nanostructures as classic photonic materials have sparked the development of low-cost, high-performance fluorescence sensors; however, their scalable clinical applications remain hampered by inadequate sensitivity. Here, we engineer a high-curvature photo-heterostructure aggregate-enhanced fluorescence (PAEF) sensor based on bubble-scaffolded ZnO nanorods. Leveraging synergistic evanescent field coupling and self-aggregation of photo-heterostructures, PAEF sensor streamlines efficient isolation (~90%) and ultrasensitive profiling of tumor extracellular vesicles (EVs) in a single assay, achieving sensitivity <10 EVs/μL (104-fold better than ELISA) without additional amplification, outperforming most state-of-the-art EV fluorescence assays. This self-sufficient sensor enables accurate monitoring of targeted therapeutic efficacy in mouse xenograft models via simultaneous dual-marker readout. We further show its clinical utility in hepatocellular carcinoma diagnosis with ≥96% accuracy (≥98% specificity) in two cohorts (n = 146), improving dynamic monitoring of surgical treatment responses, particularly in alpha-fetoprotein-negative patients. This work provides a cost-effective ultrasensitive liquid biopsy tool advancing non-invasive cancer diagnosis. Fluorescent detection approaches often require specialist equipment or have limited sensitivity. Here, the authors develop a bubble-scaffolded zinc oxide nanorod photo heterostructure aggregate for fluoresce enhancement demonstrating application for detection of circulating extracellular vesicles.

Nature Communications
Guangxi University (CN), Guangxi Medical University (CN), First Affiliated Hospital of GuangXi Medical University (CN), Tumor Hospital of Guangxi Medical University (CN)
Openalex Percentile: Top 21%
Nanoplatforms for cancer theranostics
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.