Novel Stochastic Sensors Based on Phthalocyanine Complexes for the Detection of C-NP, IL-6, and CRP in Cardiovascular Diseases
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Published on: December 13, 2017
Ruxandra-Maria Ilie-Mihai1, Raluca-Ioana Stefan-van Staden1
1Laboratory of Electrochemistry and PATLAB, National Institute of Research for Electrochemistry and Condensed Matter, 202 Splaiul Independentei Str., 060021 Bucharest, Romania.
Insights
Highly sensitive stochastic sensors detect cardiovascular disease biomarkers C-reactive protein, interleukin 6, and C-type natriuretic peptide at ultralow concentrations in whole blood, enabling real-time analysis.
Area of Science:
- Biomarker Detection
- Nanomaterials Science
- Cardiovascular Diagnostics
Background:
- Cardiovascular disease severity correlates with C-reactive protein, interleukin 6, and C-type natriuretic peptide levels.
- Accurate and sensitive detection of these biomarkers is crucial for timely diagnosis and management.
- Existing methods may lack the sensitivity required for ultralow level detection in real-time.
Purpose of the Study:
- To develop and validate novel stochastic sensors for the simultaneous detection of key cardiovascular disease biomarkers.
- To achieve ultralow detection limits and broad linear ranges for enhanced diagnostic capabilities.
- To assess the reliability and statistical significance of the sensor performance compared to established methods like ELISA.
Main Methods:
- Fabrication of stochastic sensors using carbon paste matrices functionalized with silver nanoparticles (AgNPs).
- Immobilization of different phthalocyanines onto AgNP-decorated matrices for specific biomarker recognition.
- Analysis of whole blood samples from cardiovascular patients using the developed sensors and comparison with ELISA results.
Main Results:
- The developed stochastic sensors demonstrated exceptionally low detection limits (1 × 10-21 g mL-1).
- Broad linear concentration ranges (1 × 10-21 to 1 × 10-6 g mL-1) were achieved, suitable for various clinical scenarios.
- Statistical analysis (Student t-test) confirmed no significant difference between sensor results and ELISA at a 99% confidence level.
Conclusions:
- The novel stochastic sensors offer high sensitivity and reliability for detecting cardiovascular disease biomarkers in whole blood.
- These sensors represent a promising advancement for real-time, ultralow level biomarker analysis in cardiovascular diagnostics.
- The validated performance suggests potential for clinical application in cardiovascular disease screening and monitoring.
Abstract:
The severity of cardiovascular disease is linked to C-reactive protein, interleukin 6, and C-type natriuretic peptide levels, stressing the need for a sensitive sensor that can detect these biomarkers at ultralow levels in real time. Whole blood samples from confirmed cardiovascular patients were analyzed for C-type natriuretic peptide, C-reactive protein, and interleukin 6 using three stochastic sensors. These sensors were designed using carbon paste matrices decorated with Ag nanoparticles (AgNPs), on which different phthalocyanines were physically immobilized. The sensors exhibited exceptionally low detection limits (1 × 10-21 g mL-1) and broad linear concentration ranges (1 × 10-21 to 1 × 10-6 g mL-1). The analysis conducted using the Student t-test indicated that there is no statistically significant difference between the results obtained from the three stochastic sensors used in the screening tests of whole blood, with ELISA at a confidence level of 99%.
