Suppr超能文献

周期性多酚处理对获得性牙釉质保护膜抗侵蚀潜力的影响——一项定性探索性研究。

Influence of periodic polyphenol treatment on the anti-erosive potential of the acquired enamel pellicle-A qualitative exploratory study.

机构信息

Dentist, Clinic of Operative Dentistry, Periodontology and Preventive Dentistry, Saarland University, Homburg/Saar, Germany.

Dentist, Clinic of Operative Dentistry, Periodontology and Preventive Dentistry, Saarland University, Homburg/Saar, Germany.

出版信息

J Dent. 2022 Sep;124:104236. doi: 10.1016/j.jdent.2022.104236. Epub 2022 Jul 16.

Abstract

OBJECTIVE

The aim of the present study was to investigate the impact of periodic polyphenol treatment on the ultrastructure and anti-erosive potential of an in-situ formed pellicle.

METHODS

Subjects wore intraoral appliances with buccally and palatally fixed bovine enamel specimens. During 6 h of intraoral pellicle formation, 100 ml black tea or tannic acid was applied ex-vivo every 25 min for 5 min. Untreated pellicles served as control. After the trial, specimens were immersed in 0.1% or 1% citric acid for 60 s and analysed for calcium release with atomic adsorption spectrometry and ultrastructure with transmission electron microscopy.

RESULTS

Specimens covered by pellicles treated with black tea or tannic acid released less calcium than untreated pellicles. Ultrastructural analyses reveal an increase in pellicle's thickness and density after treatment with polyphenols.

CONCLUSIONS

Periodic polyphenol treatment of the pellicle modify its ultrastructure and increase its anti-erosive potential.

CLINICAL SIGNIFICANCE

Consumption of polyphenolic beverages can enhance the anti-erosive potential of the enamel pellicle.

摘要

目的

本研究旨在探讨周期性多酚处理对原位形成的薄膜的超微结构和抗侵蚀潜力的影响。

方法

研究对象佩戴口腔内器械,在口腔内形成薄膜的 6 小时内,每隔 25 分钟用 100ml 红茶或鞣酸进行离体处理,每次 5 分钟。未处理的薄膜作为对照。试验后,将标本浸入 0.1%或 1%柠檬酸中 60 秒,并用原子吸收光谱法分析钙释放情况,用透射电子显微镜分析超微结构。

结果

用红茶或鞣酸处理的覆盖有薄膜的标本释放的钙比未处理的薄膜少。超微结构分析显示,多酚处理后薄膜的厚度和密度增加。

结论

周期性多酚处理可改变薄膜的超微结构,增加其抗侵蚀潜力。

临床意义

多酚饮料的消费可以增强牙釉质薄膜的抗侵蚀潜力。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验