five

Dataset for "The Effect of Medium-Chain Triglycerides on Streptococcus mutans Single-Species Biofilm Formation Using Hydroxyapatite Discs"

收藏
Figshare2026-02-18 更新2026-04-28 收录
下载链接:
https://figshare.com/articles/dataset/Dataset_The_Effect_of_Medium-Chain_Triglycerides_on_Streptococcus_mutans_Single-Species_Biofilm_Formation_Using_Hydroxyapatite_Discs/31337035
下载链接
链接失效反馈
官方服务:
资源简介:
Dental caries are driven by acidogenic and aciduric biofilms in which Streptococcus mutans plays a key role; therefore, adjunctive strategies that disrupt cariogenic biofilms are of interest. This in vitro study evaluated medium-chain triglyceride (MCT) oil against S. mutans under planktonic and biofilm conditions. In the planktonic model, S. mutans was exposed to graded MCT concentrations (0–100%), and samples collected at 0, 2, 4, 6, and 20 h were analyzed for CFU and pH in planktonic solution. The most effective concentrations of MCT oil (100%) were advanced to a single species biofilm model in which biofilms were formed on saliva-coated hydroxyapatite disc and grown up to 72 h under sucrose challenge. MCT oil treatment groups included one-time MCT daily application, two-time MCT daily application, and two-time MCT daily application start on dry disc. Biofilms were assessed for CFU, pH in culture medium, dry weight biomass, and structure of bacteria and exopolysaccharides (EPS) matrix via confocal microscopy. In the biofilm model, quantification CFU, biomass and pH showed limited differences among control and treatment groups. In contrast, confocal microscopy revealed that MCT oil treatment disrupted biofilm architecture and EPS organization, most pronounced in two-time MCT daily application start on dry disc. In summary, MCT oil treatment was associated with consistent structural alterations in S. mutans biofilm, resulting in potentially reduced carcinogenicity. This study supports the potential of using MCT oil rinse to prevent dental caries, which warrants future investigation in vivo.
创建时间:
2026-02-18
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作