Multi-Analyte Discriminated ECL via Photonic Crystal-Enhanced Selectivity.

Area of Science:

• Analytical Chemistry
• Materials Science
• Biomedical Engineering

Background:

• Electrochemiluminescence (ECL) offers high sensitivity and specificity for various detection applications.
• Current limitations in ECL luminescent reagents hinder complex and multi-analyte detection systems.

Purpose of the Study:

• To enhance the selectivity and discrimination of ECL detection using multi-stopband photonic crystals (PCs).
• To develop a method requiring fewer luminescent reagents for improved ECL analysis.

Main Methods:

• Employed multi-stopband photonic crystals (PCs) to enhance specific ECL signals.
• Investigated the quantitative relationship between PC stopbands and ECL discrimination.
• Utilized a multi-stopband PC electrode for antibiotic analysis.

Main Results:

• Achieved 100% accuracy in qualitative and quantitative analysis of 10 antibiotics.
• Established a limit of detection (LOD) of 0.44 μM in both PBS buffer and human serum.
• Demonstrated improved selectivity for multi-analyte ECL detection through PC-based luminescence amplification.

Conclusions:

• Multi-stopband PCs effectively enhance ECL selectivity and discrimination for complex analyses.
• The developed PC-enhanced ECL technique facilitates efficient multi-analyte detection, including antibiotics.
• This approach promotes practical applications of ECL in clinical and health monitoring.