Application of near Infrared Spectroscopy Combined with Competitive Adaptive Reweighted Sampling Partial Least Squares for on-line Monitoring of the Concentration Process of Wangbi Tablets
Application of near Infrared Spectroscopy Combined with Competitive Adaptive Reweighted Sampling Partial Least Squares for on-line Monitoring of the Concentration Process of Wangbi Tablets
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DOI：
10.1255/jnirs.1209
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发表时间：
2016-04
影响因子：
1.8
通讯作者：
Yue Yang;Ye Jin;Yongjiang Wu;Yong Chen
中科院分区：
文献类型：
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作者：
Yue Yang;Ye Jin;Yongjiang Wu;Yong Chen
作为一种快速、准确的技术，近红外 (NIR) 光谱已广泛应用于过程监控，以提高效率并确保质量一致性。本工作研究了近红外光谱技术在王痹片浓缩过程在线定量监测中的应用。建立了基于全范围光谱或竞争性自适应重加权采样（CARS）方法选择的关键波长的偏最小二乘回归（PLSR）模型。对于三个质量参数（可溶性固形物含量、芍药苷和淫羊藿苷），CARS-PLSR 方法的准确性高于全谱 PLSR。对于使用 CARS-PLSR 模型的预测集样品，可溶性固形物含量的测定系数 (r2) 和均方根误差 [RMSEP (%)] 分别为 0.97 和 1.29，芍药苷分别为 0.93 和 0.014，淫羊藿苷分别为 0.85 和 0.009。总体而言，结果表明，近红外光谱与 CARS-PLSR 校准相结合是工业规模在线监测忘痹片浓缩过程的可靠且无损的替代方法。
As a rapid and accurate technique, near infrared (NIR) spectroscopy has been widely used in process monitoring to improve efficiency and ensure quality consistency. In the present work, the application of NIR spectroscopy for on-line quantitative monitoring of the concentration process of Wangbi tablets was investigated. Partial least squares regression (PLSR) models based on the full-range spectra or the key wavelengths selected by the competitive adaptive reweighted sampling (CARS) method were established. The accuracy of the CARS-PLSR method was greater than that of full-spectrum PLSR for three quality parameters (soluble solid contents, paeoniflorin and icariin). For the prediction set samples using the CARS-PLSR models the coefficients of determination (r2) and root mean square error [RMSEP (%)] were 0.97 and 1.29 for soluble solid contents, 0.93 and 0.014 for paeoniflorin and 0.85 and 0.009 for icariin, respectively. Overall the results indicated that NIR spectroscopy coupled with CARS-PLSR calibration is a reliable and non-destructive alternative method for on-line monitoring of the concentration process of Wangbi tablets on an industrial scale.