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寻找完美的复合材料——一种用于更轻松处理牙科材料的化学信息学方法。

In Search of the Perfect Composite Material-A Chemoinformatics Approach Towards the Easier Handling of Dental Materials.

作者信息

Eichenlaub Joachim, Baran Karol, Urbański Kamil, Robakowska Marlena, Kalinowska Jolanta, Racka-Pilszak Bogna, Kloskowski Adam

机构信息

Department of Physical Chemistry, Faculty of Chemistry, Gdansk University of Technology, Narutowicza 11/12, 80-233 Gdansk, Poland.

Department of Dental Prosthetics, Medical University of Gdansk, Elizy Orzeszkowej 18, 80-208 Gdansk, Poland.

出版信息

Int J Mol Sci. 2025 Aug 26;26(17):8283. doi: 10.3390/ijms26178283.

Abstract

Modern dentistry depends on polymer composite materials for a wide range of applications. These materials, mainly composed of polymer resins and reinforced with inorganic fillers, offer mechanical strength, wear resistance, and durability for restorations and prosthetics. This study concentrated on the density and surface tension of monomers often used in dental resins and employed Quantitative Structure-Property Relationship (QSPR) modeling to investigate the influence of monomers' structural features on these properties. Two main and two auxiliary models to predict both density and surface tension were built and validated. Additionally, two models based on CircuS descriptors were built and analyzed. Molecular descriptors from the models were interpreted and structural characteristics of dental monomers influencing their physicochemical properties were identified. It was found that the presence of heteroatoms increases both of the analyzed properties, while all of the other identified structural features exert an opposite influence on density and surface tension. Furthermore, the study showed that the density of dental monomers can be reliably predicted using the database containing regular organic compounds, but the surface tension requires the database containing specific monomers in order to perform satisfactorily.

摘要

现代牙科在广泛的应用中依赖于聚合物复合材料。这些材料主要由聚合物树脂组成,并由无机填料增强,为修复体和假体提供机械强度、耐磨性和耐久性。本研究集中于牙科树脂中常用单体的密度和表面张力,并采用定量结构-性质关系(QSPR)建模来研究单体结构特征对这些性质的影响。建立并验证了两个主要模型和两个辅助模型来预测密度和表面张力。此外,还建立并分析了基于CircuS描述符的两个模型。对模型中的分子描述符进行了解释,并确定了影响牙科单体物理化学性质的结构特征。研究发现,杂原子的存在会增加所分析的两种性质,而其他所有确定的结构特征对密度和表面张力则产生相反的影响。此外,研究表明,使用包含常规有机化合物的数据库可以可靠地预测牙科单体的密度,但表面张力需要包含特定单体的数据库才能令人满意地进行预测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/597d/12428768/82f1b64a484c/ijms-26-08283-g001.jpg

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