研究目的
To develop and validate a Fourier transform infrared (FTIR) method for the simultaneous quantitative analysis of thiamine hydrochloride (vitamin B1) and pyridoxine hydrochloride (vitamin B6) in tablet dosage forms.
研究成果
The developed FTIR method was successfully validated for the simultaneous quantitative analysis of vitamins B1 and B6 in tablet dosage forms. The method met all validation criteria and demonstrated good specificity, linearity, accuracy, and precision. It offers a simpler and cost-effective alternative to HPLC methods for quality control of vitamin tablets.
研究不足
The study was limited to the analysis of vitamins B1 and B6 in tablet form. The method's applicability to other dosage forms or combinations of vitamins was not explored. Additionally, the study only tested two tablet products from the market.
1:Experimental Design and Method Selection:
The study utilized FTIR spectroscopy for the quantitative analysis of vitamins B1 and B6 in tablets. The method involved preparing standard mixtures of vitamins B1 and B6 with KBr crystal at various concentrations, measuring their FTIR spectra, transforming these spectra into absorbance and then derivative forms, and selecting the most specific and linear spectrum for quantitative analysis.
2:Sample Selection and Data Sources:
Standard vitamins B1 and B6 were used to prepare calibration curves. Tablet samples from the market were analyzed to validate the method.
3:List of Experimental Equipment and Materials:
FTIR spectrometer (Jasco-4200 type A, Japan), FTIR pellet presser (Jasco mini press MP-1, Japan), KBr oven (Memmert, Germany), electronic milligram scale (Mettler AE 200, Switzerland), and standard vitamins B1 and B6 (Merck, Germany).
4:Experimental Procedures and Operational Workflow:
Standard mixtures were prepared, compressed into pellets, and measured using FTIR. Spectra were transformed into absorbance and derivative forms, and the area under the curve was calculated for quantitative analysis.
5:Data Analysis Methods:
The area under the curve of derivative spectra was used to construct calibration curves. Validation parameters including specificity, linearity, accuracy, precision, detection limit, quantitation limit, and range were evaluated.
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