Kirchler Christian G, Pezzei Cornelia K, Beć Krzysztof B, Henn Raphael, Ishigaki Mika, Ozaki Yukihiro, Huck Christian W
Institute of Analytical Chemistry and Radiochemistry, University of Innsbruck, Austria.
Department of Chemistry, School of Science and Technology, Kwansei Gakuin University, Sanda, Hyogo, Japan.
Planta Med. 2017 Aug;83(12-13):1076-1084. doi: 10.1055/s-0043-107032. Epub 2017 Apr 7.
The present study evaluates the analytical performance of near infrared as well as attenuated total reflection infrared spectroscopy for the determination of the rosmarinic acid content in Rosmarini folium. Therefore, the recorded near infrared and attenuated total reflection infrared spectra of 42 milled Rosmarini folium samples were correlated with reference data (range: 1.138-2.199 rosmarinic acid %) obtained by HPLC analysis. Partial least squares regression models were established as a quantitative multivariate data analysis tool. Evaluation via full cross-validation and test set validation resulted in comparable performances for both techniques: near infrared [coefficient of determination: 0.90 (test set validation); standard error of cross-validation: 0.060 rosmarinic acid %; standard error of prediction: 0.058 rosmarinic acid %] and attenuated total reflection infrared [coefficient of determination: 0.91 (test set validation); standard error of cross-validation: 0.063 rosmarinic acid %; standard error of prediction: 0.060 rosmarinic acid %]. Furthermore, quantum chemical calculations were applied to obtain a theoretical infrared spectrum of rosmarinic acid. Good agreement to the spectrum of pure rosmarinic acid was achieved in the lower wavenumber region, whereas the higher wavenumber region showed less compliance. The knowledge of the vibrational modes of rosmarinic acid was used for the association with the high values of the regression coefficient plots of the established partial least squares regression models.
本研究评估了近红外光谱以及衰减全反射红外光谱法在测定迷迭香叶中迷迭香酸含量方面的分析性能。因此,将42个研磨后的迷迭香叶样品记录的近红外光谱和衰减全反射红外光谱与通过高效液相色谱分析获得的参考数据(范围:1.138 - 2.199%迷迭香酸)进行关联。建立了偏最小二乘回归模型作为定量多变量数据分析工具。通过全交叉验证和测试集验证进行评估,结果表明两种技术的性能相当:近红外光谱法[决定系数:0.90(测试集验证);交叉验证标准误差:0.060%迷迭香酸;预测标准误差:0.058%迷迭香酸]和衰减全反射红外光谱法[决定系数:0.91(测试集验证);交叉验证标准误差:0.063%迷迭香酸;预测标准误差:0.060%迷迭香酸]。此外,应用量子化学计算获得了迷迭香酸的理论红外光谱。在较低波数区域与纯迷迭香酸的光谱达成了良好的一致性,而较高波数区域的一致性较差。利用迷迭香酸的振动模式知识与所建立的偏最小二乘回归模型的回归系数图的高值进行关联。