目的 应用衰减全反射中红外光谱（mid-infrared spectroscopy，MIRS）技术建立桂枝茯苓胶囊（Guizhi Fuling Capsules，GFC）浓缩过程中没食子酸、芍药苷、苯甲酸、苯甲酰芍药苷及挥发油桂皮醛和肉桂酸的定量分析模型，实现GFC浓缩过程的质量控制。方法 以HPLC检测值为参照，采集GFC浓缩过程的MIRS，结合偏最小二乘（partial least square，PLS）法分别建立6种指标性成分的定量模型。结果 没食子酸、芍药苷、苯甲酸、肉桂酸、苯甲酰芍药苷及桂皮醛的校正集相关系数（r_cal）分别为0.992、0.977、0.986、0.985、0.974、0.980，验证集相关系数（r_pre）分别为0.985、0.961、0.988、0.993、0.978、0.975，校正均方根误差（corrected root mean square errors，RMSEC）分别为0.132、0.771、0.042、0.044、0.075、0.185，预测相对偏差（relative standard error of prediction，RSEP）和相对误差均小于10%。结论 MIRS技术具有快速方便、结果可靠的优点，可以应用于GFC浓缩过程中挥发油桂皮醛和肉桂酸及其他指标性成分的测定，为GFC浓缩过程的在线监控提供了一种新方法。

Objective The quantitative analysis models of gallic acid, paeoniflorin, benzoic acid, benzoyl paeoniflorin, cinnamic aldehyde and cinnamic acid in the concentration process of Guizhi Fuling Capsules (GFC) were established by attenuated total reflection mid-infrared spectroscopy (MIRS) to realize the quality control of GFC concentration process. Methods Based on the HPLC detection values, the mid-infrared spectra were collected during the concentration process of GFC, and the quantitative models of six indicator components were established by partial least squares (PLS) method. Results Calibration set correlation coefficients of gallic acid, paeoniflorin, benzoic acid, cinnamic acid, benzoyl paeoniflorin and cinnamaldehyde were 0.992, 0.977, 0.986, 0.985, 0.974, 0.980, respectively. Validation set correlation coefficients were 0.985, 0.961, 0.988, 0.993, 0.978, 0.975, and corrected root mean square errors (RMSEC) were 0.132, 0.771, 0.042 0.044, 0.075, 0.185, respectively. The relative standard error of prediction (RSEP) and relative error were less than 10%. Conclusion MIRS has the advantages of fast, convenient and reliable results, can be applied to the determination of cinnamic acid, cinnamic acid and other indicative components in the concentration process of GFC, providing a new method for online monitoring of the concentration process of GFC.

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