李天植,薛雅文,马文怡,唐凤仙,单春会,姬 华,刘银珂,李如媛.失活乳酸菌去除链格孢酚单甲醚的工艺优化[J].食品安全质量检测学报,2023,14(13):153-160 |
失活乳酸菌去除链格孢酚单甲醚的工艺优化 |
Process optimization for the removal of alternariol monomethyl ether by inactivated lactic acid bacteria |
投稿时间:2023-04-11 修订日期:2023-06-30 |
DOI: |
中文关键词: 失活乳酸菌 吸附 链格孢酚单甲醚 |
英文关键词:inactivated lactic acid bacteria adsorption alternariol monomethyl ether |
基金项目:新疆生产建设兵团兵团英才项目-姬华、石河子大学大学生研究训练计划项目(SRP2023188) |
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中文摘要: |
目的 筛选高效吸附链格孢酚单甲醚(alternariol monomethyl ether, AME)的灭活菌种, 对菌粉去除AME的工艺进行优化。方法 首先, 通过高效液相色谱法鉴定灭活菌粉对AME的吸附能力, 筛选出AME的吸附能力最强的A1-11菌株。然后, 单因素试验分析灭活乳酸菌菌粉添加量、AME质量浓度、吸附时间、pH对AME去除率的影响。最后, 采用响应面法Box-Behnken设计对吸附AME的工艺条件进行优化。结果 得出最适吸附条件为灭活乳酸菌菌粉添加量1.2 g、AME质量浓度0.30 μg/mL、吸附时间27 h、溶液pH 4.5, 预测AME去除率为51.05%, 实际试验的AME去除率为50.98%。同时建立了AME去除率与各因素间的二次多元回归方程。并对该模型进行了验证, 结果表明模型拟合程度高, 与模型预测结果相近。结论 筛选出A1-11菌株吸附AME的能力最强的, 研究结果可对林果中AME的脱除提供实际应用价值。 |
英文摘要: |
Objective To screen the inactivated strains with high adsorption efficiency for alternariol monomethyl ether (AME), and optimize the process of removing AME by bacterial powder. Methods Firstly, the adsorption capacity of inactivated bacterial powder to AME was identified by high performance liquid chromatography, and A1-11 strain with the strongest adsorption capacity to AME was screened. Then, the effects of inactivated lactic acid bacteria powder addition, AME mass concentration, adsorption time and pH on AME removal rates were analyzed by single factor test. Finally, the response surface method Box-Behnken design was used to optimize the process conditions for adsorption of AME. Results The most suitable adsorption conditions were inactivated lactic acid bacteria powder addition of 1.2 g, AME mass concentration of 0.30 μg/mL, adsorption time of 27 h, solution pH 4.5, the model predicts that the AME removal rate was 51.05%, and the actual test obtained AME removal rate of 50.98%. At the same time, a quadratic multiple regression equation between AME removal rate and various factors was established, and the model was verified. The results showed that the model had a high degree of fitting and was similar to the model prediction results. Conclusion The strain A1-11 with the strongest ability to adsorb AME has been screened out, and the results can provide practical application value for the removal of AME from forest fruits. |
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