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中国精品科技期刊2020
魏晋梅, 周玉春, 张丽, 王莉, 包高良, 罗玉柱, 李保青. 干酪乳杆菌产细菌素培养基的优化[J]. 华体会体育, 2015, (07): 177-181. DOI: 10.13386/j.issn1002-0306.2015.07.029
引用本文: 魏晋梅, 周玉春, 张丽, 王莉, 包高良, 罗玉柱, 李保青. 干酪乳杆菌产细菌素培养基的优化[J]. 华体会体育, 2015, (07): 177-181. DOI: 10.13386/j.issn1002-0306.2015.07.029
WEI Jin-mei, ZHOU Yu-chun, ZHANG Li, WANG Li, BAO Gao-liang, LUO Yu-zhu, LI Bao-qing. Optimization on fermentation medium for bacteriocin produced by lactobacillus casei[J]. Science and Technology of Food Industry, 2015, (07): 177-181. DOI: 10.13386/j.issn1002-0306.2015.07.029
Citation: WEI Jin-mei, ZHOU Yu-chun, ZHANG Li, WANG Li, BAO Gao-liang, LUO Yu-zhu, LI Bao-qing. Optimization on fermentation medium for bacteriocin produced by lactobacillus casei[J]. Science and Technology of Food Industry, 2015, (07): 177-181. DOI: 10.13386/j.issn1002-0306.2015.07.029

干酪乳杆菌产细菌素培养基的优化

Optimization on fermentation medium for bacteriocin produced by lactobacillus casei

  • 摘要: 为了提高乳酸菌素的产量,本研究利用响应面法优化了干酪乳杆菌产细菌素的培养基。根据单因素实验,筛选出对细菌素抑菌性能影响较大的培养基组分,利用中心复合实验设计(Central Composite Design,CCD)原理,采用响应面分析法,建立了二次多项式回归方程的预测模型,确定了最有利于干酪乳杆菌产细菌素的培养基:乳糖1.86%,胰蛋白胨1%,柠檬酸三铵3.02%。此条件下抑菌圈理论预测直径可达18.20mm,验证实验结果达到17.85mm,与预测结果一致,较优化前抑菌性能显著提高。 

     

    Abstract: The components of fermentation medium were optimized by response surface methodology to improve the production of bacteriocin of lactobacillus casei. Based on confirming significant factors through single factor experiment,the central composite design( CCD) principle and the response surface analysis were used to establish the quadratic polynomial regression equation prediction model to determine the suitable fermentation medium for the production of bacteriocin of lactobacillus casei.The optimized fermentation medium was composed( %) of 1.86 lactose,1.0 tryptone,3.02 ammonium citrate. Under this condition,the verifying test result of the bacteriostatic ring was 17.85 mm which was consistent with the theoretical value( 18.20mm) of the bacteriostatic ring.The performance of the bacteriostasis was improved significantly than that before optimization.

     

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