Abstract:The carbon emission in food industry has gained more attention in recent years.However，studies based on uncertainty analysis of carbon emission were rare.Chinese traditional staple food production process has characteristics of low efficiency and high energy consumption，the development of new technology in improving the efficiency of production，especially energy-saving emission reduction in the current environment is particularly important.Therefore，based on Monte Carlo sampling method，two carbon emissions scenarios were assumed and used to analyze carbon dioxide emissions of the new and old production lines of one of Chinese staple food Baozi.The results showed that in two scenarios，the absolute difference fluctuations were big，but the relative reduction of carbon emissions were both about 30%and with little uncertainty，which lead to small change range and reliable conclusions.In addition，although the steaming process of the energy consumption is about four times the freezing process，but due to the differences in carbon emission factor of natural gas and electronic power，the carbon dioxide emissions from these two process were very similar.