A novel study on enhancing ascorbic acid colorimetric detection: Green synthesis-driven crystallinity, stability, and catalytic performance of iron oxide nanoparticles in Mo(VI)/FeNPs-based biosensors
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Summary
This summary is machine-generated.Green synthesis of iron oxide nanoparticles (FeNPs) using high-antioxidant plant extracts enhances their stability and catalytic activity. This improves Mo(VI)/FeNPs biosensors for sensitive ascorbic acid detection, lowering detection limits.
Area Of Science
- Nanomaterials Science
- Biosensor Technology
- Green Chemistry
Background
- Iron oxide nanoparticles (FeNPs) are crucial in biosensing applications.
- Green synthesis offers an environmentally friendly route for FeNP production.
- Optimizing FeNP properties is key to enhancing biosensor performance.
Purpose Of The Study
- To investigate the influence of green synthesis on FeNP characteristics.
- To correlate plant extract antioxidant capacity (TAC) with FeNP properties.
- To evaluate the impact on Mo(VI)/FeNPs biosensor performance for ascorbic acid detection.
Main Methods
- Green synthesis of FeNPs using plant extracts with varying TAC.
- Characterization of FeNPs using FTIR and XRD.
- Fabrication and testing of Mo(VI)/FeNPs biosensors for ascorbic acid.
- Statistical analysis (ANOVA, Pearson correlation) to determine relationships.
Main Results
- FeNPs synthesized from high-TAC extracts (e.g., Rosmarinus officinalis) showed enhanced crystallinity, stability, and γ-Fe2O3 phase.
- These FeNPs led to superior catalytic performance in Mo(VI)/FeNPs biosensors.
- Lower limits of detection (LOD) and quantification (LOQ) were achieved with high-TAC derived FeNPs.
- FTIR confirmed efficient ascorbic acid oxidation, correlated with FeNP properties.
Conclusions
- Plant extract TAC significantly influences FeNP crystallinity, phase composition, and stability.
- Enhanced FeNP properties directly translate to improved biosensor sensitivity and lower detection limits.
- Green synthesis provides a tunable platform for developing high-performance FeNPs for biosensing.

