Qualitative and quantitative analysis of effective components in Fructus Ligustri Lucidi by near infrared spectroscopy

Abstract

In an attempt to establish the qualitative and quantitative analysis of Fructus ligustri lucidi, near-infrared spectroscopy (NIRS) was applied. The qualitative model can identify nine alcohol-broiled products from eight different geographical origins and one crude sample with a factorization algorithm and pretreatment of the second-derivative (2-Der). For the quantitative models, a partial least squares (PLS) algorithm with optimum parameters was applied for determination of oleanolic acid (OA) and ursolic acid (UA) in Fructus ligustri lucidi. There is no significant difference for the observed values between the NIRS and HPLC method since the results of the t-tests are 0.590 and 0.441, respectively, both less than t_(0.05,19) = 2.093 with a 95% confidence level. The data obtained revealed the proposed NIRS method is viable for the rapid qualitative and quantitative analysis of the active ingredients in Fructus ligustri lucidi.