OU De-ming, ZHOU Yi-fan, HU Chang-jiang, et al. Optimization of Streamed Processing Technology of Dendrobii Caulis with Wine by Central Composite Design-Response Surface Methodology[J]. Chinese journal of experimental traditional medical formulae, 2013, 19(19): 34-37.
DOI:
OU De-ming, ZHOU Yi-fan, HU Chang-jiang, et al. Optimization of Streamed Processing Technology of Dendrobii Caulis with Wine by Central Composite Design-Response Surface Methodology[J]. Chinese journal of experimental traditional medical formulae, 2013, 19(19): 34-37. DOI: 10.11653/syfj2013190034.
Optimization of Streamed Processing Technology of Dendrobii Caulis with Wine by Central Composite Design-Response Surface Methodology
Objective: To optimize streamed processing technology of Dendrobii Caulis with wine by central composite design-response surface methodology. Method: The content of dendrobine was determined by HPLC
chromatographic conditions were as follows:Diamonsil C18 column (4.6 mm×250 mm
5 μm)
mobile phase of acetonitrile-water(0.1% triethylamine) gradient elution
flow rate 1 mL·min-1
detection wavelength 240 nm
column temperature 30℃
injection volume 10 μL.The content of polysaccharides was determined by UV.With the concentration and amount of wine
steaming time as independent variables
overall normalized value of the contents of dendrobine and polysaccharides as dependent variable
processing technology was optimized by central composite design-response Surface methodology. Result: Linear range of dendrobine was 0.336-3.36 μg(R2=0.999 8)
RSD of precision was 1.24%
RSD of repeatability was 1.06%
average recovery was 97.62%(RSD 1.45%);Linear range of polysaccharides was 0.020 32-0.101 6 g·L-1(R2=0.997 1)
RSD of precision was 1.71%
RSD of repeatability was 1.90%.Optimum processing conditions were:the concentration of wine 48%
the amount of wine 17%and steaming time 6.78 h.Deviation between the predicted value(0.292%) and the measured value(0.303%) of the mass fraction of dendrobine was 3.76%
while deviation between the predicted value(11.8%) and the measured value(12.3%) of polysaccharides was 4.24%
established model had a good prediction. Conclusion: Optimized processing technology was simple and stable.
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