Cornu cervi flavone liquor with algae as main raw material

Abstract

The invention discloses cornu cervi flavone liquor with algae as the main raw material. The cornu cervi flavone liquor is prepared from, by weight, 80-90 parts of barley, 50-55 parts of peanut shells, 4-6 parts of greenish lily seeds, 8-12 parts of semen cuscutae, 70-75 parts of gulfweed, 3-4 parts of mussel powder, 27-33 parts of sargassum thunbergii powder, 24-25 parts of cornu cervi, 1-2 parts of ammonium sulfate, 32-35 parts of blackbark Chinese pine needles, a proper amount of a 50% ethyl alcohol solution and a proper amount of water. According to the cornu cervi flavone liquor, the algae capable of partially replacing grain raw materials are added into the raw materials, the nutrient content in the liquor is enriched under the condition that the taste of the liquor is not affected, and not only are the large quantity of cheap algae raw materials effectively utilized, but also large consumption of grain raw materials in the liquor making industry is reduced, so that the production cost is lowered.

Description

technical field

[0001] The invention relates to the technical field of liquor brewing, in particular to antler flavone liquor with algae as the main raw material. Background technique

[0002] In recent years, with the acceleration of modern urbanization, the problem of sub-health has become increasingly prominent, and the various health foods on the market cannot ensure balanced nutritional intake, and are expensive, so they are not suitable for long-term consumption. How to achieve health care through diet Efficacy is increasingly attracting people's attention. my country is a big country in the production and consumption of alcoholic beverages, and the concept of no feast without alcohol has been deeply rooted in the hearts of the people. In this context, functional health-care liquor has received great attention from people. However, the quality of health-care liquor in the market is uneven, especially in the raw materials. In terms of deep processing, due to the incompl...