Deep learning-enhanced dual-mode multiplexed optical sensor for point-of-care diagnostics of cardiovascular diseases
🤖 AI Summary
Current cardiovascular biomarker assays suffer from prolonged assay times, narrow dynamic ranges, and insufficient clinical insight from single-analyte measurements. To address these limitations, we developed a portable dual-mode vertical-flow optical biosensor integrating colorimetric and chemiluminescent detection on a single paper-based microfluidic chip for simultaneous quantification of cardiac troponin I (cTnI), creatine kinase-MB (CK-MB), and N-terminal pro-B-type natriuretic peptide (NT-proBNP). The system requires only 50 μL of serum and completes fully automated point-of-care testing within 23 minutes. A novel deep learning–driven dual-mode multiplexing architecture enables an ultra-wide dynamic range spanning ~6 orders of magnitude, with limits of detection of sub-pg/mL for cTnI and sub-ng/mL for CK-MB and NT-proBNP. Clinical validation using 92 patient serum samples demonstrated excellent correlation with reference methods (r > 0.96), significantly advancing high-sensitivity, multiplexed, wide-range quantitative diagnosis of acute myocardial infarction and heart failure at the point of care.
Application Category
📝 Abstract
Rapid and accessible cardiac biomarker testing is essential for the timely diagnosis and risk assessment of myocardial infarction (MI) and heart failure (HF), two interrelated conditions that frequently coexist and drive recurrent hospitalizations with high mortality. However, current laboratory and point-of-care testing systems are limited by long turnaround times, narrow dynamic ranges for the tested biomarkers, and single-analyte formats that fail to capture the complexity of cardiovascular disease. Here, we present a deep learning-enhanced dual-mode multiplexed vertical flow assay (xVFA) with a portable optical reader and a neural network-based quantification pipeline. This optical sensor integrates colorimetric and chemiluminescent detection within a single paper-based cartridge to complementarily cover a large dynamic range (spanning ~6 orders of magnitude) for both low- and high-abundance biomarkers, while maintaining quantitative accuracy. Using 50 uL of serum, the optical sensor simultaneously quantifies cardiac troponin I (cTnI), creatine kinase-MB (CK-MB), and N-terminal pro-B-type natriuretic peptide (NT-proBNP) within 23 min. The xVFA achieves sub-pg/mL sensitivity for cTnI and sub-ng/mL sensitivity for CK-MB and NT-proBNP, spanning the clinically relevant ranges for these biomarkers. Neural network models trained and blindly tested on 92 patient serum samples yielded a robust quantification performance (Pearson's r > 0.96 vs. reference assays). By combining high sensitivity, multiplexing, and automation in a compact and cost-effective optical sensor format, the dual-mode xVFA enables rapid and quantitative cardiovascular diagnostics at the point of care.
Problem
Research questions and friction points this paper is trying to address.
Develops a dual-mode optical sensor for rapid cardiac biomarker detection
Addresses limitations of current tests with narrow dynamic range and single-analyte formats
Enables point-of-care multiplexed quantification of cardiovascular disease biomarkers
Innovation
Methods, ideas, or system contributions that make the work stand out.
Deep learning-enhanced dual-mode multiplexed optical sensor
Integrates colorimetric and chemiluminescent detection in paper cartridge
Neural network-based quantification pipeline for rapid diagnostics
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