HUANG De-dong, HE Wei-wei, JIN Ling, et al. Distinguish Schisandrae Sphenantherae Fructus from Different Producing Areas Based on Electronic Nose Technology[J]. Chinese journal of experimental traditional medical formulae, 2017, 23(23): 22-26.
DOI:
HUANG De-dong, HE Wei-wei, JIN Ling, et al. Distinguish Schisandrae Sphenantherae Fructus from Different Producing Areas Based on Electronic Nose Technology[J]. Chinese journal of experimental traditional medical formulae, 2017, 23(23): 22-26. DOI: 10.13422/j.cnki.syfjx.2017230022.
Distinguish Schisandrae Sphenantherae Fructus from Different Producing Areas Based on Electronic Nose Technology
Objective: To apply electronic nose method distinguish Schisandrae Sphenantherae Fructus from different habitats
a new method for the determination of the origin of Schisandrae Sphenantherae Fructus. Method: To determine the best experimental conditions for the electronic nose technology of Schisandrae Sphenantherae Fructus by single factor test and orthogonal test
and distinguish the Schisandrae Sphenantherae Fructus samples from different producing areas based on principal component analysis and principal component analysis combined with linear discriminant analysis. Result: The results showed that the influencing factors of Schisandrae Sphenantherae Fructus were as follows from high to low:Storage time at room temperature > sample weight > air intake amount. The optimum parameters for the determination of Schisandrae Sphenantherae Fructus were 5.0 g sample weight
100 mL·min-1 air intake and 10 min storage at room temperature. The experimental results showed that the discriminative power of Schisandrae Sphenantherae Fructus under the optimum conditions could reach 0.986.Principal component analysis could be used to distinguish the Schisandrae Sphenantherae Fructus samples from different areas
but this method showed no obvious distinction ability on Schisandrae Sphenantherae Fructus from Gansu Huating county
Jiangluo town and Wudu county. The method of principal component analysis combined with linear discriminant analysis was superior to principal component analysis for distinguishing the Schisandrae Sphenantherae Fructus samples from different producing areas
with a clear distinguishing result on the samples from Huating county
Jiangluo town and Wudu county in this experiment. Conclusion: In this study
electronic nose combined with the special smell of Schisandrae Sphenantherae Fructus was used for detailed distinction about Schisandrae Sphenantherae Fructus samples from different producing areas
with significant distinguishing effect. This study can provide a new idea and method for objective
simple and green identification of Schisandrae Sphenantherae Fructus samples from different producing areas.
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