Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/449159
Title: Development and validation of analytical methods for the estimation of drugs used for the treatment of respiratory diseases
Researcher: Patel Bhoomiben Hasmukhbhai
Guide(s): Dr. Satish A. Patel
Keywords: Genetics and Heredity
Life Sciences
Molecular Biology and Genetics
University: Ganpat University
Completed Date: 2021
Abstract: Present work comprises of nine major chapters, which begins with introductory part and literature survey is followed by spectroscopy, colorimetry and chromatography techniques. Finally, Methods had been analyzed with statistical approach like t-Test and ANOVA. newlineResearch work includes spectroscopy techniques like Simultaneous equation method, First order derivative method, Dual wavelength method and pH independent method for the estimation of single or multi component analysis of formulation used for the treatment of respiratory system diseases. In addition, Anti-histaminic drugs like Azelastine HCl, Olopatadine HCl, Fexofenadine HCl and Loratadine were estimated with cost-effective and sensitive approach Bromate-Bromide visible spectrophotometry method. Chromatography method HPTLC was applied to combined formulation and mixture of anti-histamines and gluco-corticosteroids like Betamethasone and Loratadine, Olopatadine HCl and Mometasone furoate and Olopatadine HCl and Fluticasone propionate specifically used to treat the respiratory diseases. newlineAn HPTLC method was developed for the estimation of various nasal sprays of Gluco-corticosteroids like Triamcinolone acetonide, Budesonide, Beclomethasone propionate, Fluticasone propionate and Mometasone furoate simultaneous using common mobile phase to make approach cost-effective and time saving by using minimum possible quantity of chemicals. newline Abovementioned all designed approaches were validated for the parameters like linearity and range, precision, accuracy, limit of detection and quantification according to the ICH Q2R1 guideline. newline Statistical analysis was applied for the data comparison of assay of formulation with different methods and using common method with different formulations, t-Test and ANOVA were used to compare the Formulation analysis data. newline newline
Pagination: 4764kb
URI: http://hdl.handle.net/10603/449159
Appears in Departments:FACULTY OF PHARMACY

Files in This Item:
File Description SizeFormat 
11. title page.pdfAttached File40.66 kBAdobe PDFView/Open
12. certificate 1.pdf87.57 kBAdobe PDFView/Open
16. certificate by candidate.pdf56.06 kBAdobe PDFView/Open
20. abstract.pdf49.88 kBAdobe PDFView/Open
80_recommendation.pdf64.8 kBAdobe PDFView/Open
ch 10 references.pdf271.33 kBAdobe PDFView/Open
ch 1 introduction.pdf628.83 kBAdobe PDFView/Open
ch 2 review literature (2).pdf540.9 kBAdobe PDFView/Open
ch 3 aim and objective.pdf95.91 kBAdobe PDFView/Open
ch 4 glasswares c.pdf119.98 kBAdobe PDFView/Open
ch 5 spectroscopic.pdf590.66 kBAdobe PDFView/Open
ch 6 colorimetric.pdf495.23 kBAdobe PDFView/Open
ch 7 chromato.pdf718.41 kBAdobe PDFView/Open
ch 8 hptlc.pdf525.32 kBAdobe PDFView/Open
ch 9 statistics.pdf226.69 kBAdobe PDFView/Open
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