Suppr超能文献

应用近红外化学成像和化学计量学工具对不同来源的枸橼酸西地那非片进行表征。

Characterization of sildenafil citrate tablets of different sources by near infrared chemical imaging and chemometric tools.

机构信息

Institute of Chemistry, State University of Campinas, 13084-971 Campinas, SP, Brazil.

出版信息

J Pharm Biomed Anal. 2013 Nov;85:207-12. doi: 10.1016/j.jpba.2013.07.036. Epub 2013 Aug 6.

Abstract

The chemical imaging technique by near infrared spectroscopy was applied for characterization of formulations in tablets of sildenafil citrate of six different sources. Five formulations were provided by Brazilian Federal Police and correspond to several trademarks of prohibited marketing and one was an authentic sample of Viagra. In a first step of the study, multivariate curve resolution was properly chosen for the estimation of the distribution map of concentration of the active ingredient in tablets of different sources, where the chemical composition of all excipients constituents was not truly known. In such cases, it is very difficult to establish an appropriate calibration technique, so that only the information of sildenafil is considered independently of the excipients. This determination was possible only by reaching the second-order advantage, where the analyte quantification can be performed in the presence of unknown interferences. In a second step, the normalized histograms of images from active ingredient were grouped according to their similarities by hierarchical cluster analysis. Finally it was possible to recognize the patterns of distribution maps of concentration of sildenafil citrate, distinguishing the true formulation of Viagra. This concept can be used to improve the knowledge of industrial products and processes, as well as, for characterization of counterfeit drugs.

摘要

近红外光谱化学成像技术用于表征来自六个不同来源的枸橼酸西地那非片剂的制剂。五个配方由巴西联邦警察提供,对应于几种禁止销售的商标,一个是真正的伟哥样品。在研究的第一步中,多元曲线分辨法被正确地选择用于估计来自不同来源的片剂中活性成分的浓度分布图谱,其中所有赋形剂成分的化学成分并不真正为人所知。在这种情况下,很难建立一个适当的校准技术,因此,只有西地那非的信息才被独立于赋形剂来考虑。只有通过达到二阶优势,才能在存在未知干扰的情况下对分析物进行定量,从而实现这一测定。在第二步中,根据它们的相似性,通过层次聚类分析对来自活性成分的归一化图像直方图进行分组。最后,有可能识别出枸橼酸西地那非的浓度分布图谱模式,从而区分真正的伟哥配方。这一概念可用于提高对工业产品和工艺的认识,以及用于鉴别假冒药品。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验