Comparative statistical evaluation of greenness, blueness, and whiteness spectrophotometric methods for dexamethasone and chloramphenicol estimation
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Summary
This summary is machine-generated.This study presents five sustainable UV spectrophotometric methods for analyzing chloramphenicol (CHL) and dexamethasone sodium phosphate (DSP) in ophthalmic forms. The validated methods offer accurate quantification and overcome spectral challenges.
Area Of Science
- Analytical Chemistry
- Pharmaceutical Analysis
Background
- Accurate quantification of active pharmaceutical ingredients is crucial for ophthalmic formulations.
- Chloramphenicol (CHL) and dexamethasone sodium phosphate (DSP) are common ophthalmic drugs requiring reliable analytical methods.
- Existing methods may face challenges like spectral overlap and environmental concerns.
Purpose Of The Study
- To develop and validate sustainable UV spectrophotometric methods for analyzing CHL and DSP.
- To address spectral overlap and collinearity issues in complex ophthalmic matrices.
- To evaluate the environmental sustainability and ICH compliance of the developed methods.
Main Methods
- Chloramphenicol (CHL) analysis using the zero-order spectra method.
- Dexamethasone sodium phosphate (DSP) analysis via Induce Dual Wavelength (IDW), Fourier Self-Deconvolution (FSD), Ratio Difference (RD), and Derivative Ratio (DD1) methods.
- Validation according to International Council for Harmonisation (ICH) guidelines.
Main Results
- CHL quantified using zero-order spectra with LOD/LOQ of 0.96/2.88 µg/mL.
- DSP analyzed with IDW (LOD/LOQ: 0.93/2.79 µg/mL), FSD (LOD/LOQ: 0.65/1.95 µg/mL), RD (LOD/LOQ: 0.70/2.10 µg/mL), and DD1 (LOD/LOQ: 0.80/2.40 µg/mL).
- All methods demonstrated linearity, accuracy, and precision, with no significant statistical difference compared to published techniques.
Conclusions
- Five sustainable and validated UV spectrophotometric methods were successfully developed for CHL and DSP.
- The methods effectively resolve spectral overlap and collinearity, providing reliable quantification in ophthalmic dosage forms.
- The validated techniques offer environmentally sound and statistically robust alternatives for pharmaceutical analysis.
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