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篇名
Identification and quantification of impurities in the industrial-grade sesamol
並列篇名
Identification and quantification of impurities in the industrial-grade sesamol
作者 Shyh-Shyan JwoCeshing SheuDinesh Chandra Agrawal (Dinesh Chandra Agrawal)
英文摘要
Analysis of impurities in the industrial-grade sesamol (3,4-methylenedioxyphenol, C7H6O3) was carried out. Sesamol, the main antioxidant in sesame oil and the principal chemical intermediate, is used to manufacture paroxetine, an antidepressant drug. Gas chromatography-mass spectrometry (GC-MS) analysis of a sesamol sample indicated the presence of four impurities. After further purification, these four impurities were obtained and characterized by nuclear magnetic resonance (NMR) and Fourier-transform infrared spectroscopy (FTIR). The four sesamol-derived impurities were 1,2-methylenedioxybenzene (C7H6O2), sesamol formate (C8H6O4), sesamol acetate (C9H8O4), and 3,4-methylenedioxybenzaldehyde (C8H6O3). Sesamol and its impurities were assayed by both gas chromatography (GC) and liquid chromatography (LC) for routine quality control. Correlation coefficients (r) in the LC method ranged from 0.9989 to 0.9997, and relative standard deviations (RSD) range from 1.76 % to 3.32 %. These values were higher than those by the GC method, where correlation coefficients were in the range of 0.9875 to 0.9981 and relative standard deviations in the range of 7.45 % to 26.8 %. Moreover, the LC method with the limit of detection (LOD) in the range of 0.013 to 0.045 μg/mL was more sensitive than the GC method, where the limit of detection was in the range of 0.067 to 3.103 μg/mL. Therefore, the LC method was more suitable for assay sesamol and its impurities during the in-process control of drug manufacture.
起訖頁 1-7
關鍵詞 Impurity analysisSesamol1,2-methylenedioxybenzeneSesamol formateSesamol acetate3,4-methylenedioxybenzaldehydePiperonalChemical intermediateParoxetine.
刊名 國際應用科學與工程學刊  
期數 202103 (18:1期)
出版單位 朝陽科技大學理工學院
該期刊-下一篇 Solving unbounded knapsack problem using evolutionary algorithms with bound constrained strategy
 

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