García Míriam R, Cabo Marta L
Bioprocess Engineering Group, IIM-CSIC Spanish National Research Council, Vigo, Spain.
Microbiology Group, IIM-CSIC Spanish National Research Council, Vigo, Spain.
Front Microbiol. 2018 Jun 26;9:1259. doi: 10.3389/fmicb.2018.01259. eCollection 2018.
Optimal disinfection protocols are fundamental to minimize bacterial resistance to the compound applied, or cross-resistance to other antimicrobials such as antibiotics. The objective is twofold: guarantee safe levels of pathogens and minimize the excess of disinfectant after a treatment. In this work, the disinfectant dose is optimized based on a mathematical model. The model explains and predicts the interplay between disinfectant and pathogen at different initial microbial densities (inocula) and dose concentrations. The study focuses on the disinfection of with benzalkonium chloride, the most common quaternary ammonium compound. Interestingly, the specific benzalkonium chloride uptake (mean uptake per cell) decreases exponentially when the inoculum concentration increases. As a consequence, the optimal disinfectant dose increases exponentially with the initial bacterial concentration.
最佳消毒方案对于将细菌对所使用化合物的耐药性或对其他抗菌剂（如抗生素）的交叉耐药性降至最低至关重要。目标有两个：保证病原体处于安全水平，并在处理后尽量减少消毒剂的过量使用。在这项工作中，基于一个数学模型对消毒剂剂量进行了优化。该模型解释并预测了在不同初始微生物密度（接种物）和剂量浓度下消毒剂与病原体之间的相互作用。该研究聚焦于使用最常见的季铵化合物苯扎氯铵进行消毒。有趣的是，当接种物浓度增加时，苯扎氯铵的特定摄取量（每个细胞的平均摄取量）呈指数下降。因此，最佳消毒剂剂量随初始细菌浓度呈指数增加。
