Validation of an HPLC-DAD Method for Quercetin Quantification in Nanoparticles
Daniel Carvalho1, Ângelo Jesus1,2, Cláudia Pinho1,2
1Escola Superior de Saúde, Instituto Politécnico do Porto, Rua Dr. António Bernardino de Almeida, 4200-072 Porto, Portugal.
A validated high-performance liquid chromatography method accurately quantifies quercetin in nanoparticles. This analytical technique ensures pharmaceutical quality control for quercetin delivery systems and pharmacokinetic studies.
Area of Science:
- Analytical Chemistry
- Pharmaceutical Sciences
- Nanotechnology
Background:
- Accurate quantification of quercetin is vital for pharmaceutical formulation development and quality control.
- Evaluating quercetin delivery systems and pharmacokinetics necessitates validated analytical methods.
- Existing methods may lack the sensitivity or efficiency required for complex matrices.
Purpose of the Study:
- To validate a high-performance liquid chromatography with diode array detection (HPLC-DAD) method for quercetin quantification in nanoparticles.
- To optimize mobile phase conditions and detection wavelengths for sensitive and selective quercetin analysis.
- To assess key validation parameters including precision, accuracy, linearity, sensitivity, stability, and selectivity.
Main Methods:
- Development and validation of an HPLC-DAD method.
- Testing various mobile phase compositions and detection wavelengths (254 nm and 368 nm).
- Assessment of method performance based on established validation parameters.
Main Results:
- Optimal analysis achieved at 368 nm with a mobile phase of 1.5% acetic acid and a water/acetonitrile/methanol ratio of 55:40:5.
- The method demonstrated excellent linearity (R² > 0.995), specificity, and repeatability (CV 2.4–6.7%).
- High accuracy (88.6–110.7%), low detection (0.046 µg/mL) and quantification (0.14 µg/mL) limits, and improved stability at 4 °C were observed.
Conclusions:
- The validated HPLC-DAD method is sensitive, efficient, and suitable for quantifying quercetin in nanoparticles.
- This method surpasses recent analytical approaches in bias assessment parameters and offers advantages over spectrophotometric techniques.
- The validated method provides a reliable tool for quality control in pharmaceutical development and future analysis in complex biological matrices.
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