Abstract
Purpose : To establish a new prediction model for online quality control of the percolation extraction of panaxatriol saponins (PTS), viz, ginsenoside Rg1, ginsenoside Re and notoginsenoside R1, from notoginseng by near-infrared (NIR) technology coupled with partial least squares (PLS) analysis. Methods : Ten batches of PTS (420 samples) were collected and the constituents were determined using HPLC. The NIR spectroscopy of samples was determined using a Fourier-Transform nearinfrared spectrometer with an optical fiber transmission PbS detector. Eight sample batches were the calibration set, and two batches were the forecast set. Calibration models were established based on min-max normalization (MMN). Results : The root mean square errors of cross-validation (RMSECV) of Rg1, Re, and R1 were 0.798, 0.095, and 0.259 mg/mL, respectively. The root mean square errors of prediction (RMSEP) were 1.110, 0.496, and 0.390 mg/mL, respectively. The correlation coefficients (R2) of cross-validation were 0.9682, 0.9681, and 0.9626, respectively, while the correlation coefficients (R2) of prediction were 0.9831, 0.9198, and 0.9661, respectively. Conclusion : The results indicate that NIR is a quick and effective tool for online quality control of PTS (ginsenoside Rg1, ginsenoside Re, and notoginsenoside R1) in the percolation extraction process. Keywords : Online monitoring, Near infrared technology, Panaxatriol saponins, Partial least squares
Highlights
Traditional Chinese Medicine (TCM) has gained worldwide popularity among researchers [1,2,3]
Panaxatriol saponins (PTS), the active constituents extracted from notoginseng, contains ginsenoside Re, ginsenoside Rg1, and notoginsenoside R1
partial least squares (PLS) method was employed for analyzing the models
Summary
Traditional Chinese Medicine (TCM) has gained worldwide popularity among researchers [1,2,3]. Pharmacological studies indicate that PTS is the main active constituent of notoginseng and is often used for quality control. High-performance liquid chromatography (HPLC) is a useful tool for quality control of PTS in the percolation extraction process to determine the three active constituents [9,10,11]. This method is insufficient due to the hysteretic checking result and tedious sample preparation. A new method is needed that can instantly obtain results without pretreatment for the online quality control of the percolation extraction process. Batches 1, 2, 3, 4, 6, 7, 8 and 9 were the calibration set, whereas batches 5 and 10 were the forecast set
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