Magnetic Rolling Circle Amplification-Assisted Automated Electrochemiluminescence Immunoassay for Ultrasensitive Determination of Protein Biomarkers

Electrochemiluminescence immunoassay (ECLIA), recognized for its good sensitivity and selectivity, has been widely commercialized in the field of in vitro diagnostics. Despite its advancements, the determination of protein biomarkers at concentrations below pg/mL remains a significant challenge in automated ECLIA. Here, a new magnetic rolling circle amplification-assisted automated ECLIA (ECLIA-RCA) method was proposed for ultrasensitive determination of protein biomarkers. The presence of protein biomarkers could specifically drive the formation of magnetic immunocomplexes between the magnetic bead (MB)-based capture antibody, the target protein, and the single-stranded DNA-tagged secondary antibody. Subsequent triggering of the RCA reaction and signal labeling enables the hybridization of a substantial number of Ru(bpy)<sub>3</sub><sup>2+</sup> derivative-labeled single-stranded DNA to the elongated DNA linkers attached to each magnetic immunocomplex, thereby significantly amplifying the ECL signal. By integrating RCA with MB separation, the developed ECLIA-RCA method realized sensitive determination of cardiac troponin I (cTnI) with a detection limit of 0.1 pg/mL. The method also demonstrates excellent selectivity with minimal interference from nontarget proteins. Validation using 19 clinical human serum samples revealed a good linear correlation of the measured cTnI concentrations between the ECLIA-RCA results and clinical results (<i>R</i><sup>2</sup> = 0.9471). Additionally, the versatility of this automated ECLIA-RCA approach was successfully demonstrated through the quantification of alpha-fetoprotein, achieving a detection limit of 0.3 pg/mL. The ECLIA-RCA method holds great promise for the ultrasensitive determination of protein biomarkers, offering significant potential for early disease diagnosis.

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Publication Details

Journal
Analytical Chemistry
Published
2025-12-20
DOI
https://doi.org/10.1021/acs.analchem.5c05778
Citations
1
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
0.81
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Magnetic Rolling Circle Amplification-Assisted Automated Electrochemiluminescence Immunoassay for Ultrasensitive Determination of Protein Biomarkers

Xiaolin Yang, Chengxiao Zhang, Honglan Qi, Danyang Zhang et al.
1 citations
Analytical Chemistry
Advanced biosensing and bioanalysis techniques
0.81
article

Magnetic Rolling Circle Amplification-Assisted Automated Electrochemiluminescence Immunoassay for Ultrasensitive Determination of Protein Biomarkers

Xiaolin Yang, Chengxiao Zhang, Honglan Qi, Danyang Zhang, Peng Ming, Ning Yang
article en
1 citations

Abstract

Electrochemiluminescence immunoassay (ECLIA), recognized for its good sensitivity and selectivity, has been widely commercialized in the field of in vitro diagnostics. Despite its advancements, the determination of protein biomarkers at concentrations below pg/mL remains a significant challenge in automated ECLIA. Here, a new magnetic rolling circle amplification-assisted automated ECLIA (ECLIA-RCA) method was proposed for ultrasensitive determination of protein biomarkers. The presence of protein biomarkers could specifically drive the formation of magnetic immunocomplexes between the magnetic bead (MB)-based capture antibody, the target protein, and the single-stranded DNA-tagged secondary antibody. Subsequent triggering of the RCA reaction and signal labeling enables the hybridization of a substantial number of Ru(bpy)<sub>3</sub><sup>2+</sup> derivative-labeled single-stranded DNA to the elongated DNA linkers attached to each magnetic immunocomplex, thereby significantly amplifying the ECL signal. By integrating RCA with MB separation, the developed ECLIA-RCA method realized sensitive determination of cardiac troponin I (cTnI) with a detection limit of 0.1 pg/mL. The method also demonstrates excellent selectivity with minimal interference from nontarget proteins. Validation using 19 clinical human serum samples revealed a good linear correlation of the measured cTnI concentrations between the ECLIA-RCA results and clinical results (<i>R</i><sup>2</sup> = 0.9471). Additionally, the versatility of this automated ECLIA-RCA approach was successfully demonstrated through the quantification of alpha-fetoprotein, achieving a detection limit of 0.3 pg/mL. The ECLIA-RCA method holds great promise for the ultrasensitive determination of protein biomarkers, offering significant potential for early disease diagnosis.

Analytical ChemistryVol. 98(1)
Robotic Technology (United States) (US), Computer Science Laboratory of Lille (FR), Shaanxi Normal University (CN)
Openalex Percentile: Top 21%
Advanced biosensing and bioanalysis techniques
0.81
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