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辉光放电等离子体降解啤酒中T-2毒素

Study on the degradation of T-2 toxin in beer by glow discharge plasma
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摘要 目的:探讨辉光放电等离子体(GDP)降解啤酒中T-2毒素的最佳工艺及对啤酒理化指标的影响。方法:通过Box-Behnken方法进行四因素三水平的响应面优化试验,确定啤酒中T-2毒素的最佳降解条件。结果:当放电电压为570 V,作用时间为18 min,放电电流为99 mA,T-2毒素初始质量浓度为8.5μg/mL时,T-2毒素降解效率最高(89.21%);经GDP处理后,啤酒泡持性显著降低(P<0.05),其他指标无明显变化。结论:通过响应面优化模型获得的GDP最佳降解条件可以用于啤酒中T-2毒素的降解;GDP处理能够影响啤酒泡持性,但对其他指标无明显影响。 Objective:Exploring the optimal process for the degradation of T-2 toxin in beer by glow discharge plasma(GDP)and its impact on the physicochemical indicators of beer.Methods:Based on single-factor experiments,a response surface optimization experiment with four factors and three levels was conducted using the Box Behnken method to determine the optimal degradation conditions for T-2 toxin in beer.Results:When the discharge voltage was 570 V,the action time was 18 minutes,the discharge current was 99 mA,and initial concentration of T-2 toxin was 8.5μg/mL.Under the control of these conditions,the degradation efficiency of the T-2 toxin was the highest(89.21%).After GDP treatment,the physical and chemical indicators of beer were tested,and the results showed a significant decrease in beer foam retention(P<0.05),while other indicators remained unchanged.Conclusion:The optimal degradation conditions of GDP obtained by the response surface optimization model are accurate and reliable,which can be used for the degradation of T-2 toxin in beer.GDP can affect the brewing ability of beer,but it will not have a significant impact on other indicators.
作者 王小博 刘健南 郑琳 陈冰冰 冯泽君 邓旗 WANG Xiaobo;LIU Jiannan;ZHENG Lin;CHEN Bingbing;FENG Zejun;DENG Qi(Foshan Polytechnic,Foshan,Guangdong 528137,China;School of Food Science and Technology,Guangdong Ocean University,Zhanjiang,Guangdong 524088,China)
出处 《食品与机械》 CSCD 北大核心 2024年第3期12-17,25,共7页 Food and Machinery
基金 广东省高等学校自然科学研究特色创新项目(编号:2020KTSCX307) 广东省普通高校创新团队项目(编号:2021KCXTD081) 佛山职业技术学院课程思政示范课程项目(编号:2023SZKC-014) 佛山职业技术学院质量工程项目(编号:2022KC-004)。
关键词 辉光放电等离子体 降解 啤酒 T-2毒素 glow discharge plasmad degradation beer T-2 toxin
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