The Study On The Effect Of Malt Quality On Drying Conditions

Barley malt is the main raw material for brewing beer, which is the one of factors to determines the quality of beer. For improving the quality of malt and beer, it is very significant for screening the best conditions of the malting to improve the quality of malt and beer. For advance the efficiency and save energy, the best manufacturing technique of malt is screened out, through optimal test of languish and burnt temperature. In this study, the raw material is Ganpi No.4, which is the main variety of barley in the northwest of China.In this study, the best conditions of languish temperature and burnt temperature were selected by using complete combined experiment of two factors and three levels. The variation law of DMS and the precursor substance is found through comparing with the relationship between Melanoidin and Chroma in drying process, and dynamic tracking of the DMS and the precursor of that, The main results in this research was as follows:1. It was showed that the optimum languish and burnt temperature was 48°C and 78℃respectively, According to the integrated score rules of malt industrial standard (QB1686 - 93), the score of the optimum technique is 56.2, which meets the standard of the national high-class(>50).2.According to determining the Melanoidin and Chroma, the mathematical model was established to Y=0.2925X+0.0164, and the correlation coefficient was R=0.996, This model showed a good linear relationship between the Melanoidin and Chroma. Furthermore, It provided a theoretical reference to determine Melanoidin rapidly in malt and beer manufactures.3. According to dynamic tracking DMS and its precursor in the drying process, it was found that the quantity of DMS and DMSO increased gradually while the SMM reduces continuously in drying process. Furthermore, it provided theoretical basis and reference to the index in further national standard (GB).4. Comparing pilot scale test of the best drying process in this study with the technique used now, the results reveal that the new screening process was superior to that adopted now, main quality indexes of the product improves in different degree and it provided parameter support to optimize the process further in production enterprises.