Au-g-C3N4@MIL-100/Pt@CuS-induced self-accelerated dual-quenching ECL-RET strategy for sensitive sST2 detection

A novel dual-quenching electrochemiluminescence (ECL) immunosensor based on ECL resonance energy transfer (ECL-RET) strategy was developed for sensitive detection of soluble suppression of tumorigenicity 2 (sST2) protein. The sensor developed a self-accelerated ECL emitter composed of Au-decorated graphitic carbon nitride (g-C<sub>3</sub>N<sub>4</sub>) nanosheets and Materials of Institute Lavoisier-100(Fe) (MIL-100(Fe)). In this system, the reversible Fe<sup>2+</sup>/Fe<sup>3+</sup> redox cycling in MIL-100(Fe) markedly enhanced the ECL emission from the g-C<sub>3</sub>N<sub>4</sub>/S<sub>2</sub>O<sub>8</sub><sup>2-</sup> pair by promoting the generation of sulfate radical. Simultaneously, the incorporated Au nanoparticles facilitated electron transfer and provided abundant sites for biomolecular immobilization, collectively establishing a robust "signal-on" state. Signal quenching was achieved using Pt@CuS nanoflowers as synergistic ECL quenchers. Their high antibody-loading capacity and efficient ECL-RET capability acted in concert to drastically reduce the signal, thereby inducing a pronounced "signal-off" state. The optimized "on-off" ECL immunosensor demonstrated a satisfactory linear range (0.001-100 ng mL<sup>-1</sup>) and an ultralow detection limit of 0.547 pg mL<sup>-1</sup> for sST2. This work established a reliable platform for sST2 quantification, holding substantial potential for advancing heart failure research and clinical early diagnosis.

Authors

Institutions

Publication Details

Journal
Journal of Nanobiotechnology
Published
2025-12-12
DOI
https://doi.org/10.1186/s12951-025-03866-1
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Au-g-C3N4@MIL-100/Pt@CuS-induced self-accelerated dual-quenching ECL-RET strategy for sensitive sST2 detection

Wei Yang, Xing He, Xiang Yu, Shijia Ding et al.
Journal of Nanobiotechnology
Advanced biosensing and bioanalysis techniques
article

Au-g-C3N4@MIL-100/Pt@CuS-induced self-accelerated dual-quenching ECL-RET strategy for sensitive sST2 detection

Wei Yang, Xing He, Xiang Yu, Shijia Ding, Zhijun Ai, Qinggang Zhang, Diao Yu, Zeng Ling
article en

Abstract

A novel dual-quenching electrochemiluminescence (ECL) immunosensor based on ECL resonance energy transfer (ECL-RET) strategy was developed for sensitive detection of soluble suppression of tumorigenicity 2 (sST2) protein. The sensor developed a self-accelerated ECL emitter composed of Au-decorated graphitic carbon nitride (g-C<sub>3</sub>N<sub>4</sub>) nanosheets and Materials of Institute Lavoisier-100(Fe) (MIL-100(Fe)). In this system, the reversible Fe<sup>2+</sup>/Fe<sup>3+</sup> redox cycling in MIL-100(Fe) markedly enhanced the ECL emission from the g-C<sub>3</sub>N<sub>4</sub>/S<sub>2</sub>O<sub>8</sub><sup>2-</sup> pair by promoting the generation of sulfate radical. Simultaneously, the incorporated Au nanoparticles facilitated electron transfer and provided abundant sites for biomolecular immobilization, collectively establishing a robust "signal-on" state. Signal quenching was achieved using Pt@CuS nanoflowers as synergistic ECL quenchers. Their high antibody-loading capacity and efficient ECL-RET capability acted in concert to drastically reduce the signal, thereby inducing a pronounced "signal-off" state. The optimized "on-off" ECL immunosensor demonstrated a satisfactory linear range (0.001-100 ng mL<sup>-1</sup>) and an ultralow detection limit of 0.547 pg mL<sup>-1</sup> for sST2. This work established a reliable platform for sST2 quantification, holding substantial potential for advancing heart failure research and clinical early diagnosis.

Journal of NanobiotechnologyVol. 23(1)
Fudan University (CN), Children's Hospital of Chongqing Medical University (CN), Huashan Hospital (CN), Chongqing Medical University (CN)
Openalex Percentile: Top 63%
Advanced biosensing and bioanalysis techniques
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.