紫外可见漫反射光纤光谱技术快速定量分析维生素B2片

Rapid Quantitative Analysis of Vitamin B2 Tablets Content by UV-Vis Diffuse Reflectance Optical Spectroscopy

关键词:  紫外可见漫反射光纤光谱  偏最小二乘法  快速检验  维生素B₂片

Key words:  uv-vis diffuse reflectance optical spectroscopy  PLS  rapid test  vitamin B₂ tablets

摘要:

目的 利用紫外可见漫反射光纤光谱快速检测系统，对固体制剂维生素B2进行快速定量分析。方法 采集维生素B₂片的紫外可见漫反射Remission函数光谱，用原始光谱和预处理光谱分别建立偏最小二乘法数学模型，通过完全交互验证法确定最佳主成分数。利用参数比较法确定最佳数学模型，用最佳模型对预测集样品含量进行预测，并做了方法学考察。结果 原始光谱建立的PLS数学模型最佳，主成分数为6时，RMSEC和交互验证RMSEP值最小，R_C²和R_V²值最大。预测集样品的平均回收率为99.44%，预测均方根误差为2.4709。精密度、稳定性和重复性的RSD分别为0.042%、0.051%和0.117%。结论 利用紫外可见漫反射光纤光谱快速检验系统对维生素B₂进行定量分析，结果表明该方法准确、可靠、快速、简单、非破坏、无污染。

Abstract:

OBJECTIVE Uv-vis diffuse reflectance optical spectroscopy of rapid detecting system was applied to determine Vitamin B₂ Tablets content. METHODS The Uv-vis diffuse reflectance Remission spectra of samples were collected and partial least squares (PLS) mathematical models were built respectively with original spectra and pre-processing spectra. The principal components(PCs) were determined based on full cross validation. The optimal mathematic model was determined through parameter comparison. With the optimal mathematic model, content of the prediction sample set was predicted and the method validation had also been examined. RESULTS PLS mathematic model of original spectra was optimal. When the PCs was 6, RMSEC and cross validation RMSEP was the minimum while R_C² and R_V² were maximum. The average recovery RMSEP of prediction sample set were 99.44% and 2.4709 respectively. Precision, stability and repeatability of RSD were 0.042%, 0.051% and 0.117% respectively. CONCLUSION Rapid quantitative analysis of Vitamin B₂ Tablets content by fast inspect UV-Vis diffuse reflectance optical spectroscopy detecting system was approved to be accurate, reliable, rapid, simple, non-destructive and eco-friendly.