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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,RC2和RV2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。
OBJECTIVE: To rapidly detect the vitamin B2 in solid preparations by using UV-visible diffuse reflectance optical fiber spectroscopy rapid detection system. Methods The UV-visible diffuse reflectance Remission function spectrum of vitamin B2 tablets was collected. The partial least squares mathematical model was established by using the original spectra and the pretreatment spectra, and the best principal component was determined by the full interactive verification. Using the parameter comparison method to determine the best mathematical model, using the best model to predict the sample content of the prediction set, and making a methodological study. Results The PLS mathematical model established by the original spectroscopy was the best. The RMSEC of the RMSEC and the cross validation RMSEP were the smallest when the number of the main components was 6, and the values of RC2 and RV2 were the largest. The average recovery of the predicted samples was 99.44%, and the prediction root mean square error was 2.4709. The RSD of precision, stability and repeatability were 0.042%, 0.051% and 0.117%, respectively. Conclusion The quantitative analysis of vitamin B2 by UV-VIS-FTIR system shows that the method is accurate, reliable, rapid, simple, non-destructive and non-polluting.