New Derivative and Differential Spectrophotometric Methods for the Determination of Pterostilbene-An Antioxidant

M. M. Annapurna, J. Kumar
{"title":"New Derivative and Differential Spectrophotometric Methods for the Determination of Pterostilbene-An Antioxidant","authors":"M. M. Annapurna, J. Kumar","doi":"10.5530/PHM.2015.6.22","DOIUrl":null,"url":null,"abstract":"Pterostilbene found in blueberries and Pterocarpus marsupium heartwood is structurally similar to resveratrol. It is used for the treatment of cancer, diabetes and fungal infections. Three spectrophotometric methods have been developed for the determination of Pterostilbene. Two first derivative methods and one difference spectrophotometric method were attempted. Two first derivative spectroscopic methods were developed in sodium hydroxide (Method A) and methanol (Method B) and differential spectroscopic method (Method C) was developed using borate buffer and sodium hydroxide. Linearity was observed over the concentration range 0.1-25 and 1-25 μg/ml with linear regression equations y = 0.0043x-0.0003 (R 2 =0.9997) and y=0.0037x - 0.0007 (R 2 =0.9997) for method A and B respectively whereas for method C the linearity was followed over the concentration range 0.1-20 μg/ml with linear regression equation y=0.1124x - 0.0016 (R 2 =0.9999). The three methods were validated and can be applied for the determination of Pterostilbene pharmaceutical formulations. Key words: Derivative spectroscopy, Differential spectroscopy, Pterostilbene, Validation.","PeriodicalId":19960,"journal":{"name":"Pharmaceutical Methods","volume":"137 1","pages":"143-147"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pharmaceutical Methods","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5530/PHM.2015.6.22","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

Pterostilbene found in blueberries and Pterocarpus marsupium heartwood is structurally similar to resveratrol. It is used for the treatment of cancer, diabetes and fungal infections. Three spectrophotometric methods have been developed for the determination of Pterostilbene. Two first derivative methods and one difference spectrophotometric method were attempted. Two first derivative spectroscopic methods were developed in sodium hydroxide (Method A) and methanol (Method B) and differential spectroscopic method (Method C) was developed using borate buffer and sodium hydroxide. Linearity was observed over the concentration range 0.1-25 and 1-25 μg/ml with linear regression equations y = 0.0043x-0.0003 (R 2 =0.9997) and y=0.0037x - 0.0007 (R 2 =0.9997) for method A and B respectively whereas for method C the linearity was followed over the concentration range 0.1-20 μg/ml with linear regression equation y=0.1124x - 0.0016 (R 2 =0.9999). The three methods were validated and can be applied for the determination of Pterostilbene pharmaceutical formulations. Key words: Derivative spectroscopy, Differential spectroscopy, Pterostilbene, Validation.
新的导数和微分分光光度法测定紫檀芪- a抗氧化剂
在蓝莓和有袋紫檀心材中发现的紫檀芪在结构上与白藜芦醇相似。它被用于治疗癌症、糖尿病和真菌感染。建立了三种分光光度法测定紫檀芪的方法。尝试了两种一阶导数法和一种差分分光光度法。在氢氧化钠(方法A)和甲醇(方法B)中建立了两种一阶导数光谱方法,在硼酸盐缓冲液和氢氧化钠中建立了差分光谱方法(方法C)。方法A和方法B在0.1 ~ 25 μg/ml和1 ~ 25 μg/ml范围内线性关系良好,线性回归方程分别为y= 0.0043x ~ 0.0003 (r2 =0.9997)和y=0.0037x ~ 0.0007 (r2 =0.9997);方法C在0.1 ~ 20 μg/ml范围内线性关系良好,线性回归方程为y=0.1124x ~ 0.0016 (r2 =0.9999)。3种方法均可用于紫檀芪制剂的含量测定。关键词:导数光谱,微分光谱,紫檀芪,验证
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信