Prema Paulpandian, Ali Daoud, Nguyen Van-Huy, Pradeep Bhathini Vaikuntavasan, Veeramanikandan Veeramani, Daglia Maria, Arciola Carla Renata, Balaji Paulraj
Department of Zoology, VHN Senthikumar Nadar College, Virudhunagar 626001, TN, India.
Department of Zoology, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia.
Antibiotics (Basel). 2024 May 13;13(5):437. doi: 10.3390/antibiotics13050437.
A variety of bacteria, including beneficial probiotic lactobacilli, produce antibacterials to kill competing bacteria. Lactobacilli secrete antimicrobial peptides (AMPs) called bacteriocins and organic acids. In the food industry, bacteriocins, but even whole cell-free supernatants, are becoming more and more important as bio-preservatives, while, in orthopedics, bacteriocins are introducing new perspectives in biomaterials technologies for anti-infective surfaces. Studies are focusing on (previously known as ). exhibits great phenotypic versatility, which enhances the chances for its industrial exploitation. Importantly, more than other lactobacilli, it relies on AMPs for its antibacterial activity. In this study, Response Surface Methodology (RSM) through a Box-Behnken experimental design was used to estimate the optimal conditions for the production of antibacterials by . A temperature of 35 °C, pH 6.5, and an incubation time of 48 h provided the highest concentration of antibacterials. The initial pH was the main factor influencing the production of antibacterials, at 95% confidence level. Thanks to RSM, the titer of antibacterials increased more than 10-fold, this result being markedly higher than those obtained in the very few studies that have so far used similar statistical methodologies. The Box-Behnken design turned out to be a valid model to satisfactorily plan a large-scale production of antibacterials from
多种细菌,包括有益的益生菌乳酸菌,会产生抗菌物质来杀死与之竞争的细菌。乳酸菌会分泌称为细菌素的抗菌肽和有机酸。在食品工业中,细菌素乃至整个无细胞上清液作为生物防腐剂正变得越来越重要,而在骨科领域,细菌素正在为抗感染表面的生物材料技术引入新的视角。研究聚焦于(以前称为)。具有很强的表型多功能性,这增加了其工业开发的机会。重要的是,与其他乳酸菌相比,它的抗菌活性更依赖于抗菌肽。在本研究中,通过Box-Behnken实验设计的响应面方法(RSM)被用于估计产生抗菌物质的最佳条件。35°C的温度、pH 6.5以及48小时的孵育时间可产生最高浓度的抗菌物质。在95%的置信水平下,初始pH是影响抗菌物质产生的主要因素。借助RSM,抗菌物质的效价提高了10倍以上,这一结果明显高于迄今为止使用类似统计方法的极少数研究所获得的结果。事实证明,Box-Behnken设计是一个有效的模型,可令人满意地规划从大规模生产抗菌物质。