期刊文献+

近红外光谱法快速测定右旋糖酐40葡萄糖注射液的含量 被引量:2

Development of a near IR method for rapid determination of Dextran 40 Glucose Injection
下载PDF
导出
摘要 目的运用近红外透反射光谱分析技术和化学计量学方法对右旋糖酐40葡萄糖注射液进行无损、快速定量分析。方法以在全国范围内不同企业生产的右旋糖酐40葡萄糖注射液及实验室自制不同质量浓度的样品为分析对象,用光纤探头和液体测样附件测定近红外光谱,用偏最小二乘法(PLS)建立右旋糖酐40和葡萄糖定量模型。结果所建模型具有良好的预测能力,测定验证集中样品的含量,葡萄糖外部验证均方差(RMSEP)为0.749,右旋糖酐40外部验证均方差(RMSEP)为0.74;与药典标准方法相比,NIR法测定葡萄糖平均预测偏差为0.62,平均相对偏差为1.87%,右旋糖酐40平均预测偏差为0.59,平均相对偏差为1.53%。结论该方法快速无损,结果准确,可用于该制剂快速同时检测分析。 Objective To develop a method for rapid, non-destroyed determination of Dextran 40 Glucose Injection by near infrared spectroscopy technology and chemometrics. Methods The analytic samples from different pharmaceutical factories in China and la- boratory-made samples were determined by a fiber optic probe and liquid-like attachment. The partial least square (PLS) was applied to establish the model. Results The model had a good performance for prediction. The root mean square error of prediction (RMSEP) of glucose was 0. 749, and Dextran 40 was 0.74. Comparing with the standard method, the mean difference of prediction of glucose for test sets was 0.62 ,and the average relative deviation was 1.87%. The mean of prediction of Dextran 40 for test sets was 0.59,and the average relative deviation was 1.53 %. Conclusion The method is rapid, non-destroyed and accurate. It can be applied to the fast and simultaneous determination for the preparation.
出处 《西北药学杂志》 CAS 2011年第5期344-347,共4页 Northwest Pharmaceutical Journal
关键词 右旋糖酐40葡萄糖注射液 近红外光谱 偏最小二乘法 Dextran 40 Glucose Injection near infrared spectroscopy partial least square
  • 相关文献

参考文献5

二级参考文献28

  • 1汤彦丰,张卓勇,范国强.中草药大黄的近红外光谱和人工神经网络鉴别研究[J].光谱学与光谱分析,2004,24(11):1348-1351. 被引量:56
  • 2Bellamy LJ, Nordon A, Littlejohn D. Effects of particle size and cohesive properties on mixing studied by non-contact NIR[J]. Intern J Pharmaceut, 2008, 361: 87-91.
  • 3Cogdill RP, Dardenne P. Least squares support vector machines for chemometrics: an introduction and evaluation[J]. J Near Infrared Spectrosc, 2004 ,12 (2) : 93-100.
  • 4Roggo Y, Chalus P, Maurer L, et al. A review of near infrared spectroscopy and chemometricin pharmaceutical technologies [J]. J Pharmaceut & Biomed Anal, 2007, 44 : 683-700.
  • 5DeBeer TRM , Bodson C, Dejaegher B. Raman spectroscopy as a process analytical technology (PAT) tool for the in-line monitoring and understanding of a Powder blending process[J]. J Pharmaceut and Biomed A- nal, Accepted Manuscript, 2008,7: 25.
  • 6Blanco M, Alcala M. Contentuniformity andtablet hardness testing of intact pharmac tablets by near infrared spectroscopy-A contribution to process analytical technologies[J]. Anal Chin Acta , 2006, 557: 353-359.
  • 7Zheng Yiwu, Lai Xuxin, Bruun SW, et al. Determination of moisture content of lyophilized allergen vaccines by NIR spectroscopy[J]. J Pharmaceut and Biomed Anal, 2008, 46:592-596.
  • 8White JG. On-line moisture detection for a microwave vacuum dryer[J]. Pharm Res,1994, 11 (5) :728.
  • 9Leuenberger H, Puchkov M, Krausbauer E,et al. Manufacturing pharmaceutical granules: Is the granulation endpoint a myth? [J]. Powder Technol, 2008, 59, 123-131.
  • 10Moes J J, Ruijken MM,Gout E, et al. Application of process analytical technology in tablet process development using NIR spectroscopy: Blend uniformity, content uniformityand coating thickness measurements[J]. Interna J Pharmaceut, 2008, 357, 108-118.

共引文献73

同被引文献10

引证文献2

二级引证文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部