Modeling the effects of different conditions on the inhibitory activity of antimicrobial lipopeptide (AMPNT-6) against Staphylococcus aureus growth and enterotoxin production in shrimp meat

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• 作者：Ning Zhang ; Yuehua Pu ; Lijun Sun ; Yaling Wang ; Qi Deng…
• 关键词：Antimicrobial lipopeptide ; Enterotoxin ; Mathematical model ; Shrimp ; Staphylococcus aureus
• 刊名：Aquaculture International
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：25
• 期：1
• 页码：57-70
• 全文大小：
• 刊物类别：Biomedical and Life Sciences
• 刊物主题：Freshwater & Marine Ecology; Zoology;
• 出版者：Springer International Publishing
• ISSN：1573-143X
• 卷排序：25

文摘

Several bacteria, including Staphylococcus aureus (S. aureus), have been identified as food-borne pathogenic bacteria that cause many cases of food poisoning. This has prompted researchers to identify novel antimicrobial compounds. NT-6 antimicrobial lipopeptide (AMPNT-6) secreted by Bacillus subtilis can inhibit S. aureus growth and enterotoxin B production. The effects of temperature, sodium chloride, pH and sodium metabisulfite on the activity of AMPNT-6 applied to control S. aureus growth and enterotoxin B production in shrimp were investigated by using the response surface method. Design-Expert software was chosen to conduct data analysis and develop the models to demonstrate whether AMPNT-6 is able to control the growth of S. aureus and toxin production in shrimp exposed to different environmental conditions. The results showed that temperature, sodium chloride concentration, pH and sodium metabisulfite concentration had no significant effects on the antimicrobial activity of AMPNT-6 and there were no significant interactions between them. Quadratic polynomial mathematical models were established, and the quadratic regression equations of predicted value LgN (logarithm of bacterial colony number) and Y (enterotoxin B) to the independent variables x₁ (temperature), x₂ (sodium chloride concentration), x₃ (pH), x₄ (sodium metabisulfite concentration) and x₅ (AMPNT-6 concentration) were constructed as: $${\text{LgN}} = 6.93 + 0.29x_{1} - 0.11x_{3} - 0.46x_{5} - 0.35x_{1}^{2} - 0.30x_{3} x_{4} \left( {R^{2 } = 0.9049} \right);$$$$Y = 22.83 + 4.33x_{1} - 6.02x_{5} - 5.28x_{1}^{2} - 4.68x_{1} x_{4} - 3.80x_{3} x_{4} \left( {R^{2 } = 0.8874} \right).$$AMPNT-6 showed stable antimicrobial activity that was hardly affected by external factors such as temperature, salinity, pH and sodium metabisulfite. Observed experimental values were comparable with the predicted values. 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Appl Microbiol Biotechnol 98:127–136CrossRefPubMedGoogle ScholarCopyright information© Springer International Publishing Switzerland 2016Authors and AffiliationsNing Zhang1Yuehua Pu1Lijun Sun1Email authorYaling Wang1Email authorQi Deng1Defeng Xu1Ying Liu1Malik Hussain2Ravi Gooneratne21.College of Food Science and Technology, Guangdong Ocean University, Guangdong Provincial Key Laboratory of Aquatic Product Processing and Safety, Key Laboratory of Advanced Processing of Aquatic Products of Guangdong Higher Education InstitutionZhanjiangChina2.Department of Wine, Food and Molecular Biosciences, Centre for Food Research and InnovationLincoln UniversityLincolnNew Zealand About this article CrossMark Publisher Name Springer International Publishing Print ISSN 0967-6120 Online ISSN 1573-143X About this journal Reprints and Permissions Article actions .buybox { margin: 16px 0 0; position: relative; } .buybox { font-family: Source Sans Pro, Helvetica, Arial, sans-serif; font-size: 14px; font-size: .875rem; 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