Y-Shaped Deoxyribonucleic Acid Scaffold Pendulums: A One-Step Electrochemical Sensor.
Summary
This study introduces a Y-shaped DNA molecular pendulum sensor using split aptamers to enable one-step electrochemical detection of small molecules and low-molecular-weight proteins. The stable double-arm configuration provided the broadest dynamic range and strongest signal. It accurately quantified enrofloxacin in diluted milk, artificial urine, and cosmetics (0.001–100 ng/mL) and detected myoglobin by simply changing the recognition strand.
Key Findings
- A Y-shaped DNA pendulum using split aptamers enabled one-step electrochemical detection of small molecules and low-MW proteins.
- The stable two-armed configuration delivered broader detection range and larger signal enhancement than single or flexible double-arm designs.
- Enrofloxacin was quantified in diluted milk, artificial urine, and cosmetics over 0.001–100 ng/mL, meeting EU MRL in milk; myoglobin was detectable by changing the recognition strand.
Clinical Implications
Enables rapid, one-step screening of cosmetic products for antibiotic residues and potential contaminants, supporting quality control, regulatory compliance, and post-market surveillance. Could be adapted for point-of-need diagnostics in dermatology and aesthetic practice.
Why It Matters
Provides an innovative, broadly adaptable sensing platform with direct applications in cosmetic product safety monitoring and biofluid diagnostics. Methodological novelty (split aptamer, Y-scaffold) is likely to influence biosensor design across fields.
Limitations
- Validation was performed in diluted and artificial matrices; performance in undiluted, real-world samples requires confirmation.
- Potential matrix interferences, long-term stability, and field-deployable calibration were not fully addressed.
Future Directions
Extend validation to real-world cosmetic products and clinical samples, integrate multiplex targets, and engineer portable devices for point-of-need testing with standardized calibration.
Study Information
- Study Type
- Case series
- Research Domain
- Diagnosis
- Evidence Level
- IV - Experimental method development and validation across matrices without clinical cohorts or randomization
- Study Design
- OTHER