目的 利用近紅外光譜分析技術(shù)建立注射用益氣復(fù)脈（凍干）主要原料紅參醇提過程中3種單體皂苷——人參皂苷Rg₁、Re和Rb₁的定量模型，實現(xiàn)提取過程中關(guān)鍵指標(biāo)的快速檢測。方法 在線采集紅參醇提過程的近紅外光譜，以超高效液相色譜（UPLC）法測定提取過程藥液中人參皂苷Rg₁、Re和Rb₁的量為參考值，采用偏最小二乘法建立光譜與測定值之間的定量校正模型，進(jìn)而對提取過程進(jìn)行在線分析。結(jié)果 人參皂苷Rg₁和Re的建模波段均為9 403.7～7 498.3 cm^-1和6 102～5 446.3 cm^-1組合波段；人參皂苷Rb₁的建模波段為5 774.1～5 446.3 cm^-1。人參皂苷Rg₁、Re、Rb₁定量模型的交叉驗證決定系數(shù)（R²）分別為99.40、99.44、99.41，交叉驗證均方根誤差分別為5.18、2.77、11.00。結(jié)論 所建立的3種單體皂苷定量模型預(yù)測性能良好，能夠有效測定紅參醇提過程中人參皂苷Rg₁、Re和Rb₁的量。

Objective To establish quantitative models to rapidly detect three ginsenoside monomer, which are ginsenoside Rg₁, Re and Rb₁, during extraction process of Radix Ginseng Rubra based on Near Infrared Spectroscopy (NIR). Methods NIR spectra of extraction process were collected online and the contents of ginsenoside Rg₁, Re and Rb₁ were determined by ultra performance liquid chromatography (UPLC). And then the quantitative calibration models were established between the spectra and the measured values by using Partial Least Squares (PLS) algorithm, to analyse extraction process online. Results The optimal wave number of ginsenoside Rg₁ and Re were all in the range of 9 403.7-7 498.3 cm^-1 and 6 102-5 446.3 cm^-1, and the optimal wave number of Rb₁ was in the range of 5 774.1-5 446.3 cm^-1. The internal cross-certification decision coefficient (R²) of ginsenoside Rg₁, Re and Rb₁ were 99.40, 99.44, 99.41 respectively, and RMSECV were 5.18, 2.77, 11.00, respectively. Conclusion The results demonstrated that three quantitative models were satisfactory, which could effectively and rapidly detect the contents of ginsenoside Rg₁, Re and Rb₁ in the extraction process of Radix Ginseng Rubra.

天津市中藥注射劑關(guān)鍵技術(shù)校企協(xié)同創(chuàng)新實驗室建設(shè)項目（17PTSYJC00090）；天津市中藥注射劑新技術(shù)企業(yè)重點實驗室