Quantitative Models for Baicalin Content Using NIR Technology for the Study of Shang Jie Plaster
JIANG Bo-hai, WANG Qing, WANG Shi-sheng, CAI Rui, ZHAO Wei-jie*
School of Pharmaceutical Science and Technology，Dalian State Key Laboratory of Fine Chemical Engineering，Dalian University of Technology，Dalian 116023，China
Abstract：A dynamic prediction model for the content of Baicalin in Shang Jie plasters extract solutions was developed using near-infrared spectroscopy in transmission mode. Sixty five spectra were obtained through near-infrared transmission mode during extracting process. Refering to the content of Baicalin performed by reversed-phase high performance liquid chromatography (HPLC), the calibration model was developed with the application of partial least squares regression algorithm (PLSR). The constructed model was validated by 30 samples; some parameters of the calibration model were optimized by cross-validation. The root mean square error (RMSECV) of Baicalin was 0.006 8 mg·g-1, the correlation coefficient (R) was 0.9991, and the optimal dimension factor was 8; After predicted by test set, the root mean square error (RMSEP) and correlation coefficient (R) of prediction obtained were 0.009 2 mg·g-1 and 0.998 7 respectively. This work demonstrated that NIR spectroscopy combined with PLS could be used for the determination of Baicalin in Shang Jie plasters extract.
Key words：NIR;Shang Jie plaster;Baicalin;PLSR;Content determination
姜博海，汪 晴，王世盛，蔡 蕊，赵伟杰* . 应用近红外光谱法建立伤疖膏制备过程中黄芩苷含量模型 [J]. 光谱学与光谱分析, 2013, 33(01): 74-77.
JIANG Bo-hai, WANG Qing, WANG Shi-sheng, CAI Rui, ZHAO Wei-jie* . Quantitative Models for Baicalin Content Using NIR Technology for the Study of Shang Jie Plaster . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(01): 74-77.
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