Objective: To optimize the extracting technology for polysaccharides from Dioscorea nipponica by response surface methodology.
Methods: The independent variables were extraction temperature, reflux time and liquid-to-solid ratio, the dependent variable was extraction rate of polysaccharides in Dioscorea nipponica. Linear or nonlinear mathematic models were used to estimate the relationship between independent and dependent variables. Central composite design and response surface methodology were used to optimize the process of extraction. The prediction was carried out through comparing the observed and predicted values.
Results: The optimum technological parameters were as follows: extraction temperature 91.5° C, reflux time 172.9 min, solid-to-liquid ratio 25.8:1 and 2 times for extraction. Bias between observed and predicted of rates was 1.3%.
Conclusion: The extraction technology is simple, reliable and highly predictive.
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Pharmaceuticals (Basel)
January 2025
Department of Biochemistry and Pharmacology, School of Medicine, Universidade de Marília (UNIMAR), Marília 17525-902, São Paulo, Brazil.
Int Immunopharmacol
February 2025
Department of Anatomy, Basic Medical Institute, Chengde Medical University, Chengde 067000 Hebei, China. Electronic address:
Rheumatoid arthritis (RA) is a systemic autoimmune disease, and TL1A and its receptor DR3 play important roles in its pathogenesis. Th9 cells are involved in RA development. Dioscin from Dioscorea nipponica (DDN) has a therapeutic effect on RA, but its effect on TL1A/DR3 and Th9 cells remains unclear.
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College of Forestry, Shanxi Agricultural University, Taigu, Shanxi, China.
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