Synergistic degradation of the bonded interface: A new approach to evaluate the bond strength of dental restoration

项目摘要 经过近七十年的研究，牙科复合材料的临床应用仍然有限， 服务，超过50%的保税区在不到十年的时间内失败。病原菌 并且人唾液酶产生降解牙科树脂和粘合剂的有害产物。作为 结果，粘结强度减弱，这增加了继发龋的进展， 修复和牙齿脱落。评价生物降解源对胶结物影响的方法 力量未能在实验室环境中复制临床条件。我们的目标是开发一款 一种利用实际环境准确预测复合材料寿命的实验方法。 我们的创新方法通过挑战不同材料的粘合界面， 污染源同时在这项研究中，我们提出要找到具体的贡献， 降解源（唾液酶、细菌酶和酸，以及循环机械负荷） 协同努力降低粘结强度（目标1）。我们还将评估粘合强度耐久性， 牙本质/树脂复合材料界面在临床相关的微生物组环境中。该项目将 评估牙齿修复界面在代表性口腔条件下的降解情况， 阐明主要降解源对粘结强度耐久性的单独和协同效应。 该方法的应用将有助于提高复合材料耐久性的预测水平 从而使修复治疗更可预测

PROJECT SUMMARY After nearly seven decades of research, dental composites restorations continue to show limited clinical service, with more than 50% of placed bonded restorations failing in less than ten years. Pathogenic bacteria and human salivary enzymes produce detrimental products that degrade dental resins and adhesives. As a result, the bond strength is debilitated, which increases the progression of secondary caries, premature failure of restoration, and tooth loss. Current approaches to evaluate the effects of biodegradation sources on bond strength are failing to replicate clinical conditions in a laboratory setting. Our goal is to develop an experimental approach for accurately predicting composite restorations' lifetime using realistic environments. Our innovative approach significantly improves existing methods by challenging bonded interfaces to different degradative sources simultaneously. In this study, we proposed to find the specific contribution of the main degradative sources (salivary enzymes, bacteria enzymes and acids, and cyclic mechanical loading) after working in synergy on bond strength reduction (aim 1). We will also evaluate the bond strength durability of dentin/resin composites interfaces within a clinically relevant microbiome environment. This project will assess the degradation of the tooth-restoration interface under representative oral conditions and will help elucidate the individual and synergistic effects of the primary degradative sources on bond strength durability. The application of this novel approach will help improve the prediction of the durability of composite restorations, thereby rendering the restorative treatment more predictable