NATURAL PRODUCT RESEARCH AND DEVELOPMENT ›› 2023, Vol. 35 ›› Issue (10): 1755-1765.doi: 10.16333/j.1001-6880.2023.10.012

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Optimization of fresh cutting processing technology of Alismatis Rhizoma  by Box-Behnken response surface methodology combined with overall desirability

LIN Long,XIAN Rui,ZHAO Lu-lu,WANG Yi-yu,LAN Zhi-qiong*,PAN Xiao-li,LI Min   

  1. State Key Laboratory of Southwestern Chinese Medicine Resources,School of Pharmacy, Chengdu University of Traditional Chinese Medicine,Chengdu 611137,China
  • Online:2023-10-28 Published:2023-10-31


To optimize the fresh cutting processing technology for Alismatis Rhizoma by response surface methodology combined with the overall desirability.By considering the appearance character and processing energy consumption as the evaluation indicators,the center point affecting the processing factors of fresh cutting was selected after conducting the single factor experiment.According to the experimental principles of the response surface,three factors and three horizontal response surface experiment based on the single factor experiment was designed to optimize the fresh cutting processing process by taking the alcohol-soluble extract,total triterpenoids,total polysaccharides,alisol B 23-acetate,alisol C 23-acetate,alisol A 24-acetate and alisol B content,the overall desirability of this content as evaluation indicators,and taking the moisture content (30%,40%,50%),slice thickness (3,4,5 mm),and drying temperature (40,50,60 ℃) as investigation factors.Finally,the optimum fresh cutting processing technological conditions for Alismatis Rhizoma were obtained as follows:moisture content of 40%,slice thickness of 4 mm,and drying temperature of 50 ℃.The fresh cutting processing technology selected in this study was practicable and has a strong practical significance.The optimized fresh cutting processing technology is simple and stable,which provides a scientific basis for the production and processing of fresh cutting.

Key words: Alismatis Rhizoma, fresh cutting, processing technology, response surface methodology, overall desirability

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