Rapid determination of flavonoids and antioxidant activity of fermented Astragalus membranaceus stems and leaves by partial least square method and near infrared spectroscopy technique
ZHANG Yan
JIA Yang
DU Juan
LIU Na
WANG Yuan
QI Jing-wei
AN Xiao-ping
Abstract：The flavonoid content and antioxidant activity of Astragalus membranaceus stems and leaves before and after fermentation were determined,and the near infrared spectroscopy(NIR)combined with stoichiometry was further applied to rapidly predict the flavonoid content of Astragalus membranaceus stems and leaves in fermentation,in order to provide theoretical basis for quantitative detection of flavonoid content of Astragalus membranaceus stems and leaves and provide technical support for deep processing and utilization of Astragalus membranaceus stems and leaves.The experiment used the aluminum nitrate-nitrite colorimetric method to determine the content of flavonoids in fermented Astragalus membranaceus stems and leaves,measured the 1,1-diphenyl-2-picrylhydrazyl(DPPH)free radical scavenging ability and hydroxyl radical scavenging ability of flavonoids,and constructed a rapid prediction model for flavonoids in fermented Astragalus membranaceus stems and leaves using the partial least squares method.The results showed that the antioxidant activity of Astragalus membranaceus stems and leaves flavonoids after fermentation was stronger than that before fermentation.The method of second derivative(SD)+normal variable transformation(SNV)+detrend algorithm(Detred)was used to construct the fast prediction model,and the effect of pre-processing the whole spectrum was good.After optimization,the coefficient of determination(R2),corrected root mean square error(RMSEC)and calibration standard deviation(SEC)were 0.92,0.24,and 0.24,respectively,and the relative analysis error(PRD)was 3.46.The coefficient of determination for external R2 was 0.88.The study indicates that the NIR model established in this study has a large coefficient of determination for correction and cross-validation,and the PRD is greater than 2,indicating that the model has good prediction performance,and the established model is helpful for detecting the active components of flavonoid content in fermented Astragalus membranaceus stems and leaves.
Keywords：Astragalus membranaceus stems and leavesflavonoidsantioxidant activitynear infrared spectroscopy techniquepartial least squares method
Publication Date：2024-09-30
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 70-75 )