近红外光谱法快速分析注射用头孢硫脒

Rapid Analysis of Cefathiamidine for Injection by Near Infrared Diffused Reflectance Spectroscopy

目的:利用近红外(NIR)光谱技术,建立定性和定量通用模型,实现注射用头孢硫脒的快速鉴别与含量、水分检测。方法:采用聚类分析法与模式识别模型对注射用头孢硫脒原料来源进行快速分类鉴别,用偏最小二乘法(PLS)建立注射用头孢硫脒含量和水分的定量分析模型。结果:聚类分析法与模式识别模型对原料来源分类识别结果一致,准确性好。注射用头孢硫脒含量模型的最终优化结果如下:交叉验证相关系数(R2)为60.88,校正集均方根误差(RMSEE)为0.00468,相对分析偏差(RPD)为1.6,偏差为0.0005;水分模型的最终优化结果如下:R2为65.12,RMSEE为0.169,RPD为1.69,偏差为-0.0428。含量和水分模型预测相对偏差分别为0.012%和0.301%。结论:所建定性与定量分析方法可用于注射用头孢硫脒的快速分析,方法简单、准确可靠。

Objective:To develop qualitative and quantitative methods to achieve rapid identification and content and moisture detection of cefathiamidine for injection by using near infrared diffused reflectance spectroscopy.Methods:Cluster analysis and identification method were used for the rapid recognition of cefathiamidine for injection.The quantitative model for the content and moisture were established by means of PLS.Results:The results of cluster analysis and identification model were consistent and accurate.The final optimized results of API content PLS model were R2=60.88,RMSEE=0.00468,RPD=1.6 and bias=0.0005,while the final optimized results of moisture PLS method were R2=65.12,RMSEE=0.169,RPD=1.69 and bias=-0.0428.The relative deviations predicted by the API content and moisture models were 0.012%and 0.301%,respectively.Conclusion:The established qualitative and quantitative methods are simple,accurate and reliable in the rapid analysis of cefathiamidine for injection.