Abstract：OBJECTIVE To optimize the extraction process of polysaccharide from burdock root and predict the content. METHODS The polysaccharide content data of polysaccharide in burdock root and UV-visible spectra of glucose standard were modeled by partial least squares(PLS) combined with R language. Meanwhile, qualitative and quantitative analysis was performed. The extraction process of polysaccharide from burdock root was optimized by response surface methodology. RESULTS The fitting results of the model showed that the scattered points were concentrated on the main diagonal, indicating that the model fitted well. The content of polysaccharide was quickly predicted by partial least squares-spectrophotometry. The optimum extraction conditions optimized by response surface methodology were as follows: extraction time 55.45 min, ethanol volume fraction 50.78%, and the solid-liquid ratio 1∶40.31. Under these conditions, the optimum yield of polysaccharides was 10.33%. CONCLUSION Partial least squares-spectrophotometry was established to predict the content of polysaccharide from burdock root, and the extraction process of polysaccharide from burdock root was optimized by response surface method, which provided reference and created a theoretical foundation for improving the comprehensive utilization of resources of burdock root.
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2022, Vol. 57 
