放射性密度
水泥
极限抗拉强度
材料科学
氢氧化钙
牙胶
盖髓
牙体牙髓科
多孔性
硅酸钙
复合材料
化学工程
牙科
牙本质
医学
工程类
放射科
图层(电子)
胶粘剂
射线照相术
作者
Arief Cahyanto,Priti Pragati Rath,T.X. Teo,Shiwen Tong,Ritika Malhotra,Bruno Neves Cavalcanti,Li Zhen Lim,Kwan‐Sik Min,D.W.S. Ho,Wen Feng Lu,Vinícius Rosa
标识
DOI:10.1177/00220345231198185
摘要
Calcium silicate (C3S) cements are available in kits that do not account for patients’ specific needs or clinicians’ preferences regarding setting time, radiopacity, mechanical, and handling properties. Moreover, slight variations in powder components and liquid content affect cement’s properties and bioactivity. Unfortunately, it is virtually impossible to optimize several cement properties simultaneously via the traditional “one variable at a time” strategy, as inputs often induce trade-offs in properties (e.g., a higher water-to-powder ratio [W/P] increases flowability but decreases mechanical properties). Herein, we used Taguchi’s methods and genetic algorithms (GAs) to simultaneously analyze the effect of multiple inputs (e.g., powder composition, radiopacifier concentration, and W/P) on setting time, pH, flowability, diametral tensile strength, and radiopacity, as well as prescribe recipes to produce cements with predicted properties. The properties of cements designed with GAs were experimentally tested, and the results matched the predictions. Finally, we show that the cements increased the genetic expression of odonto/osteogenic genes, alkaline phosphatase activity, and mineralization potential of dental pulp stem cells. Hence, GAs can produce cements with tailor-made properties and differentiation potential for personalized endodontic treatment.
科研通智能强力驱动
Strongly Powered by AbleSci AI