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QIAN Xiaofeng, LIU Yan, CHEN Hui, LU Feng. Identification of Norvasc and counterfeit drugs based on Raman spectra of pharmaceutical excipients[J]. Journal of Pharmaceutical Practice and Service, 2015, 33(4): 334-337. doi: 10.3969/j.issn.1006-0111.2015.04.012
Citation: QIAN Xiaofeng, LIU Yan, CHEN Hui, LU Feng. Identification of Norvasc and counterfeit drugs based on Raman spectra of pharmaceutical excipients[J]. Journal of Pharmaceutical Practice and Service, 2015, 33(4): 334-337. doi: 10.3969/j.issn.1006-0111.2015.04.012

Identification of Norvasc and counterfeit drugs based on Raman spectra of pharmaceutical excipients

doi: 10.3969/j.issn.1006-0111.2015.04.012
  • Received Date: 2014-07-09
  • Rev Recd Date: 2015-01-14
  • Objective To build an identification method for Norvascand its counterfeit drugs based on the differences of their pharmaceutical excipients with the original and generic Amlodipine besylatetablets as tools. Methods Raman spectra of pharmaceutical excipients which were usually used in tablets were collected.Similarity algorithm and characteristic Raman bands were used to search the excipients contained in the tablets. If the excipients was not the same as excipients contained in Norvasc, the tablet was judged as counterfeit drugs. Otherwise, principal component analysis was used to identify counterfeit and generic. Results and conclusion The method based on Raman spectra of pharmaceutical excipients could identify Norvasc and counterfeit drugs efficiently and accurately.
  • [1] Dégardin K,Roggo Y,Margot P,et al. Understanding and fighting the medicine counterfeit market[J]. J Pharm Biomed Anal, 2014, 87:167-165.
    [2] International Medical Products Anti-Counterfeiting Taskforce (IMPACT).Counterfeit Drugs Kill![EB/OL]. WHO, Geneva, Switzerland,2008. [2012-12-07].http://www.who.int/impact/FinalBrochureWHA2008a.pdf.
    [3] World Health Organization.Medicines: Spurious/Falsely Labelled/Falsified/Counterfeit (SFFC) medicines[EB/OL]. WHO,Geneva, Switzerland, 2010. [2011-03-24]. http://www.who.int/medicines/services/counterfeit/en/.
    [4] Rodomonte AL, Gaudiano MC,Antoniella E, et al.Counterfeit drugs detectionby measurement of tablets and secondary packaging colour [J]. J Pharm Biomed Anal,2010, 53(2):215-220.
    [5] Westenberger BJ, Ellison CD, Fussner AS,et al. Quality assessment of internet pharmaceutical products using traditional and non-traditional analytical technique[J]. Int J Pharm, 2006,306(1-2): 56-70.
    [6] Al-Hussaini SR. Counterfeit captagon: an analytical study[J]. Sci Just, 1996, 36(3):139-142.
    [7] 阿基业. 代谢组学数据处理方法——主成分分析[J].中国临床药理学与治疗学,2010,15(5):481-489.
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Identification of Norvasc and counterfeit drugs based on Raman spectra of pharmaceutical excipients

doi: 10.3969/j.issn.1006-0111.2015.04.012

Abstract: Objective To build an identification method for Norvascand its counterfeit drugs based on the differences of their pharmaceutical excipients with the original and generic Amlodipine besylatetablets as tools. Methods Raman spectra of pharmaceutical excipients which were usually used in tablets were collected.Similarity algorithm and characteristic Raman bands were used to search the excipients contained in the tablets. If the excipients was not the same as excipients contained in Norvasc, the tablet was judged as counterfeit drugs. Otherwise, principal component analysis was used to identify counterfeit and generic. Results and conclusion The method based on Raman spectra of pharmaceutical excipients could identify Norvasc and counterfeit drugs efficiently and accurately.

QIAN Xiaofeng, LIU Yan, CHEN Hui, LU Feng. Identification of Norvasc and counterfeit drugs based on Raman spectra of pharmaceutical excipients[J]. Journal of Pharmaceutical Practice and Service, 2015, 33(4): 334-337. doi: 10.3969/j.issn.1006-0111.2015.04.012
Citation: QIAN Xiaofeng, LIU Yan, CHEN Hui, LU Feng. Identification of Norvasc and counterfeit drugs based on Raman spectra of pharmaceutical excipients[J]. Journal of Pharmaceutical Practice and Service, 2015, 33(4): 334-337. doi: 10.3969/j.issn.1006-0111.2015.04.012
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