Investigation of an on-line detection method combining near infrared spectroscopy with local partial least squares regression for the elution process of sodium aescinate.

摘要: An on-line detection method combining near infrared (NIR) spectroscopy with local partial least squares regression (PLSR) was investigated for the elution process of sodium aescinate. A 2 mm pathlength flow cell which transmitted NIR radiation through two fiber optic probes placed in bypass macroporous resin column to collect real-time spectra aescinate eluate. To compare predictive accuracy, both and global PLSR were employed build mathematical models between reference values. Meanwhile, Mahalanobis distance introduced select appropriate model prediction unknown samples. Experimental results demonstrated that superior calibration performance accuracy. Moreover, proven be feasible real application thereby would great value monitoring time as well determining start end points eluate collection.