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NIR对真伪枸橼酸西地那非片快速定性定量分析 被引量:4

Quantitative and qualitative analysis of true or counterfeit Sildenafil Citrate tablets using near infrared spectroscopy
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摘要 应用近红外光谱技术建立对枸橼酸西地那非片的定量及定性分析方法.通过对162个样品进行近红外光谱分析,分别采用偏最小二乘和第一范围标定法建立定量和定性模型,并将定量分析方法的结果与HPLC定量结果进行比对.所建定量分析模型,主成分数为4,R2为98.91%、RMSECV为1.54.该模型对预示集枸橼酸西地那非的平均回收率为100.14%,近红外光谱分析法处理结果与HPLC法处理结果无显著差异.定性分析模型组间选择性为5.09,对42批真伪样品判错率为0.结果显示,所建立方法可对真伪枸橼酸西地那非片进行快速准确的定性及定量分析. Quantitative and qualitative analysis of Sildenafil Citrate tablets using near infrared spectroscopy (NIR) was developed. 162 samples were analyzed using near infrared spectroscopy. The mathematical models of quantitative and qualitative analysis were developed by partial least square (PLS) and scaling to first range method, respectively. The quantitative results between HPLC and NIR were compared. The optimal rank of calibration set is 4, the correlation coefficient (R2) of the training set validated by cross-validation is 98.91%, RMSECV is 1.54. The quantitative analysis model was used to determine the samples used for validation, and the average recovery rate of Sildenafil Citrate is 100. 14%. There is no significant difference between NIR and HPLC method. The selectivity between two groups is 5.09,and mistaken judgment rate of 42 samples is 0. The results show that the method established can be applied to quantitative and qualitative analysis of Sildenafil Citrate tablets.
出处 《大连理工大学学报》 EI CAS CSCD 北大核心 2010年第1期15-19,共5页 Journal of Dalian University of Technology
关键词 近红外 漫透射 构橡酸西地那非片 偏最小二乘 near infrared diffuse transmission Sildenafil Citrate tablets PLS
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  • 1王成芳.药品检测车运行存在问题及改进建议[J].中国执业药师,2008,5(10):41-43. 被引量:2
  • 2王钢力,石岩,魏玉海,王慧春,徐晓杰,林瑞超.近红外光谱鉴别冬虫夏草道地药材[J].中草药,2006,37(10):1569-1571. 被引量:32
  • 3DIEHL B, GROUT B. NIR spectroscopy- just one of many analytical tools for PAT [J]. American Pharmaceutical Review, 2011, 14(2):70-74.
  • 4RAJAN M G, BHATTACHARJEE H, BEDI S, et al. Primer on NIR spectroscopy as a PAT tool in the tablet manufacture process [J]. American Pharmaceutical Review, 2010, 13(6) : 128-135.
  • 5MAERKJ, ANDRE M, KARNER M, etal. Prospects for multivariate classification of a pharmaceutical intermediate with near-infrared spectroscopy as a process analytical technology (PAT) production control supplement [J]. European Journal of Pharmaceutics and Biopharmaeeuties, 2010, 76(2) :320-327.
  • 6WATARI M. Applications of near-infrared spectroscopy to process analysis using Fourier transform spectrometer [J]. Optical Review, 2010, 17(3) :317-322.
  • 7WU Hui-quan, KHAN M A. Quality-by-design (QbD):An integrated process analytical technology (PAT) approach for real-time monitoring and mapping the state of a pharmaceutical coprecipitation process[J]. Journal of Pharmaceutical Sciences, 2010, 99(3) : 1516-1534.
  • 8BREARLEY A M, FOULK S J. Near-infrared spectroscopy (NIR) as a PAT tool in the chemical industry:added value and implementation challenges. Chapter 15 [M]// 2nd ed. Process Analytical Technology. West Sussex:Wiley, 2010:493-520.
  • 9FRANCH-LAGE F, AMIGO J M, SKIBSTED E, et al. Fast assessment of the surface distribution of API and excipients in tablets using NIR - hyperspectral imaging [J]. International Journal of Pharmaeenties, 2011, 411(1-2):27-35.
  • 10BARNES S E, THURSTON T, COLEMAN J A, et al. NIR diffuse reflectance for on-scale monitoring of the polymorphic form transformation of pazopanib hydrochloride (GW786034) : Model development and method transfer [J]. Analytical Methods, 2010, 2(12):1890-1899.

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