Study on Quality Characteristics of Russian Malt and Brewing Performance in Beer Production
Malt is the main raw material of beer,and the quality of malt directly affects the quality of beer. In order to reduce the quality,price,supply and other uncertainties brought by the export policies of the barley industry in France and Canada and turbulence in the international situation,it has become very important to find more supply channels and increase the technical reserves of malt with more origin and varieties. In this paper,the analysis of physical and chemical indexes of Russian barley variety Despina,the research of laboratory saccharification process,such as protein resting test,saccharification process test,enzyme addition test,and the production and brewing performance test of three different plants (CK:Kenpi malt) were carried out. The results showed that Despina had high glycation power (363 WK),rich nitrogen source (1.73 g/kg of α-amino nitrogen content),high β-glucan content (0.83 g/kg),low and weakly positive premature yeast flocculation (PYF) and higher fat oxidase activity. The physicochemical index of Despina was similar to that of Kenpi,and the glucose and amino acid spectrum were slightly higher than that of Kenpi. In terms of saccharification process,the level of α-amino nitrogen of Despina malt was similar to that of Kenpi and Copeland,and the malt leaching rate and iodine value were similar to that of Kenpi. In terms of production performance test,through 2-stage saccharification process and adding β-glucanase 300 mg/L,Despina malt showed higher turbidity of the first wort,better filtration performance of fermentation liquor and higher aging precursor compared with Kenpi malt,while there was no significant difference in sake and finished wine between Despina and Kenpi. Therefore,the brewing performance of Despina malt is similar to that of Kenpi malt,which meets the physical and chemical indexes and brewing performance requirements of beer malt,and can be used as a substitute for Kenpi.
国家科技期刊平台
NSTL
万方数据
