Method for identifying lonicerae flos and honeysuckle by chemical oscillation fingerprint technology
A fingerprint and chemical oscillation technology, which is applied in the field of chemical oscillation fingerprint technology to identify Shan Yinhua and honeysuckle, and achieves the effect of strong integrity, strong characteristics and large parameter range.
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Embodiment 2
[0030]The mass fraction of the preparation of the mixed medicinal material D is: 30% of the mountain silver flower, the mass fraction of the preparation of the mixed medicinal material E: 80% of the mountain silver flower, 20% of the golden silver flower; the mass fraction of the mixed medicinal material F From: 30% of the silver flower, 30% of the golden silver flower; the mass fraction of the preparation of the mixed medicinal material G is: 30% of the mountain silver flower, 30% of the golden silver flower; the mass fraction of the preparation of the mixed medicinal material H is: Silver flower 20%, honeysuckle 80%; the mass fraction of the preparation of the mixed medicinal material I is: 0.014% of the mountain silver flower, 99.986% of gold and silver.
Embodiment 3
[0031]Example 3 The mass fraction of the preparation of the mixed medicinal material j was: 30% of the mountain silver flower, 2% of the gold and silver.
Embodiment 4
[0032]The mass fraction of the preparation of the mixed medicinal material K in Example 4 is: the mountain silver flower is 90%, and the golden silver flower is 10%.
[0033]The pre-treatment process of the mixed medicinal material L in Example 5 of the present invention is: take the market selling wild silver flower (Hubei food is a Tianjin Industry Co., Ltd., the ID volume is 0.0625g / ml) 30.7ml, and the reduced pressure distillation is concentrated to 3.07ml After concentrating 0.0307 ml, the mixed medicinal material obtained after 0.38 g of a mountain silver flour was added thereto. Among them, the mass fraction of the mountain silver flower was 95%, and the mass fraction of the gold and silver flower was 4.8%, and the other impurity content was 0.2%.
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