College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China.
Spectrochim Acta A Mol Biomol Spectrosc. 2011 Sep;79(5):934-9. doi: 10.1016/j.saa.2011.03.056. Epub 2011 Apr 14.
The application of near-infrared (NIR) spectroscopy for in-line monitoring of extraction process of scutellarein from Erigeron breviscapus (vant.) Hand-Mazz was investigated. For NIR measurements, two fiber optic probes designed to transmit NIR radiation through a 2 mm pathlength flow cell were utilized to collect spectra in real-time. High performance liquid chromatography (HPLC) was used as a reference method to determine scutellarein in extract solution. Partial least squares regression (PLSR) calibration model of Savitzky-Golay smoothing NIR spectra in the 5450-10,000 cm(-1) region gave satisfactory predictive results for scutellarein. The results showed that the correlation coefficients of calibration and cross validation were 0.9967 and 0.9811, respectively, and the root mean square error of calibration and cross validation were 0.044 and 0.105, respectively. Furthermore, both the moving block standard deviation (MBSD) method and conformity test were used to identify the end point of extraction process, providing real-time data and instant feedback about the extraction course. The results obtained in this study indicated that the NIR spectroscopy technique provides an efficient and environmentally friendly approach for fast determination of scutellarein and end point control of extraction process.
近红外（NIR）光谱法在灯盏花中二氢黄酮醇 4-二葡萄糖苷提取过程的在线监测中的应用进行了研究。对于 NIR 测量，使用了两个光纤探头，设计用于通过 2mm 光程流通池传输 NIR 辐射，以实时采集光谱。高效液相色谱（HPLC）被用作确定提取物溶液中灯盏花乙素的参考方法。Savitzky-Golay 平滑 NIR 光谱在 5450-10000cm(-1) 区域的偏最小二乘回归（PLSR）校准模型为灯盏花乙素提供了令人满意的预测结果。结果表明，校准和交叉验证的相关系数分别为 0.9967 和 0.9811，校准和交叉验证的均方根误差分别为 0.044 和 0.105。此外，移动块标准偏差（MBSD）法和一致性检验均用于识别提取过程的终点，提供了提取过程的实时数据和即时反馈。本研究结果表明，NIR 光谱技术为快速测定灯盏花乙素和提取过程终点控制提供了一种高效、环保的方法。
