Self-Regulation of Resonance Energy Transfer to Electrochemiluminescence Response Tendency Conversion for Ultrasensitive Immunoassay

Abstract The single-signal multistate conversion sensing mode not only improves detection sensitivity but also features a simple construction process and can effectively eliminate nonspecific signal interferences. The change of molecular structure and generation of new molecules are able to regulate the activation and inhibition of the resonance energy transfer (RET) mechanism more easily through the conversion of energy levels, thus realizing the on–off–on mode. In this work, a controlled release strategy was used to trigger the self-assembly of Bi2S3/BiOI heterojunctions via the release of Na2S, resulting from the specific recognition between carbohydrate antigen 242 (CA242) and its antibody. The formation of the Bi2S3/BiOI heterojunction changed the energy level of BiOI, thereby inhibiting the RET mechanism between the [Ru(dcbpy)3]Cl2 hydrogel (Ru-Hydrogel) and BiOI, and restoring the signal, achieving the on–off–on mode of the sensor. It was an effective method to directly relate the concentration of the target CA242 (10–4–103 U/mL) to the multistate conversion of the signal. The limit of detection of this sensor for CA242 reached 1.57 × 10–4 U/mL (S/N = 3), demonstrating high sensitivity. This study provided an innovative sensing strategy for fabricating electrochemiluminescence sensors in the on–off–on mode and offered a feasible method for the high-sensitivity detection of biomarkers in the analysis field.

Authors

Institutions

Publication Details

Journal
Analytical Chemistry
Published
2026-09-11
DOI
https://doi.org/10.1021/acs.analchem.6c04473
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Self-Regulation of Resonance Energy Transfer to Electrochemiluminescence Response Tendency Conversion for Ultrasensitive Immunoassay

Zhouyu Gao, Xianzhen Song, Caifeng Ding, Lu Zhao et al.
Analytical Chemistry
Advanced biosensing and bioanalysis techniques
article

Self-Regulation of Resonance Energy Transfer to Electrochemiluminescence Response Tendency Conversion for Ultrasensitive Immunoassay

Zhouyu Gao, Xianzhen Song, Caifeng Ding, Lu Zhao, Yating Su, Yunfei Su
article en

Abstract

Abstract The single-signal multistate conversion sensing mode not only improves detection sensitivity but also features a simple construction process and can effectively eliminate nonspecific signal interferences. The change of molecular structure and generation of new molecules are able to regulate the activation and inhibition of the resonance energy transfer (RET) mechanism more easily through the conversion of energy levels, thus realizing the on–off–on mode. In this work, a controlled release strategy was used to trigger the self-assembly of Bi2S3/BiOI heterojunctions via the release of Na2S, resulting from the specific recognition between carbohydrate antigen 242 (CA242) and its antibody. The formation of the Bi2S3/BiOI heterojunction changed the energy level of BiOI, thereby inhibiting the RET mechanism between the [Ru(dcbpy)3]Cl2 hydrogel (Ru-Hydrogel) and BiOI, and restoring the signal, achieving the on–off–on mode of the sensor. It was an effective method to directly relate the concentration of the target CA242 (10–4–103 U/mL) to the multistate conversion of the signal. The limit of detection of this sensor for CA242 reached 1.57 × 10–4 U/mL (S/N = 3), demonstrating high sensitivity. This study provided an innovative sensing strategy for fabricating electrochemiluminescence sensors in the on–off–on mode and offered a feasible method for the high-sensitivity detection of biomarkers in the analysis field.

Analytical Chemistry
Qingdao University of Science and Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province, Taishan Scholar Foundation of Shandong Province
Affordable and clean energy
Openalex Percentile: Top 18%
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.