Nonclassical crystallization in vivo et in vitro (I): Process-structure-property relationships of nanogranular biominerals

2016 ◽  
Vol 196 (2) ◽  
pp. 244-259 ◽  
Author(s):  
Stephan E. Wolf ◽  
Corinna F. Böhm ◽  
Joe Harris ◽  
Benedikt Demmert ◽  
Dorrit E. Jacob ◽  
...  
Keyword(s):  
Structure Property ◽  
Structure Property Relationships ◽  
Process Structure

scholarly journals Systematic and Quantitative Structure-Property Relationships of Polymeric Medical Nanomaterials: From Systematic Synthesis and Characterization to Computer Modeling and Nano-Bio Interaction and Toxicity

2020 ◽  
Author(s):  
kegang Liu ◽  
xueya wang ◽  
Xiaochun Li-Blatter ◽  
Marc P. Wolf ◽  
Patrick Hunziker
Keyword(s):  
Computer Modeling ◽  
Polymeric Micelles ◽  
Physicochemical Characterization ◽  
Medical Application ◽  
Structure Property ◽  
Structure Property Relationships ◽  
Quantitative Structure Property Relationships ◽  
Medical Diagnostic

<div>Nanomaterials are suitable for numerous applications in medicine. Building on their design versatility, they enable construction of novel targeted therapies, including personalized medicine. However, the freedom of design entails a multitude of parameters, which have to be optimized for application in nanomedicine. <br></div><div>Currently,nonamaterial assortment is mainly anecdotal, non-systematic and non-representative. In contrast to the mostly oligo-disciplinary nature of many publications, we here present a systematic and comprehensive multidisciplinary approach to chemical synthesis, physicochemical characterization, computer modeling, and in vitro and in vivo exploration of nanomaterials that may be suited for medical application. Specially, we design and synthesize a library of amphiphilic oxazoline/siloxane block co-polymers with varying chain lengths and different end groups. In this regard, the computer modeling of the current polymer library is contributing to further optimization of these nanomaterials in a fast and reliable, and efficient way. In conclusion, these outstandingly versatile and non-toxic polymers can be synthesized rapidly and easily and self-assemble to polymeric micelles in aqueous solutions, thus rendering them amenable for numerous medical diagnostic and therapeutic applications <br></div><div></div>

scholarly journals Systematic and Quantitative Structure-Property Relationships of Polymeric Medical Nanomaterials: From Systematic Synthesis and Characterization to Computer Modeling and Nano-Bio Interaction and Toxicity

2020 ◽  
Author(s):  
kegang Liu ◽  
xueya wang ◽  
Xiaochun Li-Blatter ◽  
Marc P. Wolf ◽  
Patrick Hunziker
Keyword(s):  
Computer Modeling ◽  
Polymeric Micelles ◽  
Physicochemical Characterization ◽  
Medical Application ◽  
Structure Property ◽  
Structure Property Relationships ◽  
Quantitative Structure Property Relationships ◽  
Medical Diagnostic

<div>Nanomaterials are suitable for numerous applications in medicine. Building on their design versatility, they enable construction of novel targeted therapies, including personalized medicine. However, the freedom of design entails a multitude of parameters, which have to be optimized for application in nanomedicine. <br></div><div>Currently,nonamaterial assortment is mainly anecdotal, non-systematic and non-representative. In contrast to the mostly oligo-disciplinary nature of many publications, we here present a systematic and comprehensive multidisciplinary approach to chemical synthesis, physicochemical characterization, computer modeling, and in vitro and in vivo exploration of nanomaterials that may be suited for medical application. Specially, we design and synthesize a library of amphiphilic oxazoline/siloxane block co-polymers with varying chain lengths and different end groups. In this regard, the computer modeling of the current polymer library is contributing to further optimization of these nanomaterials in a fast and reliable, and efficient way. In conclusion, these outstandingly versatile and non-toxic polymers can be synthesized rapidly and easily and self-assemble to polymeric micelles in aqueous solutions, thus rendering them amenable for numerous medical diagnostic and therapeutic applications <br></div><div></div>

scholarly journals Fused Filament Fabrication of PEEK: A Review of Process-Structure-Property Relationships

Polymers ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 1665 ◽  
Author(s):  
Ali Reza Zanjanijam ◽  
Ian Major ◽  
John G. Lyons ◽  
Ugo Lafont ◽  
Declan M. Devine
Keyword(s):  
High Performance ◽  
Space Station ◽  
Weight Ratio ◽  
High Strength ◽  
Structure Property ◽  
Fused Filament Fabrication ◽  
Space Applications ◽  
Structure Property Relationships ◽  
Complex Design ◽  
Process Structure

Poly (ether ether ketone) (PEEK) is a high-performance engineering thermoplastic polymer with potential for use in a variety of metal replacement applications due to its high strength to weight ratio. This combination of properties makes it an ideal material for use in the production of bespoke replacement parts for out-of-earth manufacturing purposes, in particular on the International Space Station (ISS). Additive manufacturing (AM) may be employed for the production of these parts, as it has enabled new fabrication pathways for articles with complex design considerations. However, AM of PEEK via fused filament fabrication (FFF) encounters significant challenges, mostly stemming from the semi crystalline nature of PEEK and its associated high melting temperature. This makes PEEK highly susceptible to changes in processing conditions which leads to a large reported variation in the literature on the final performance of PEEK. This has limited the adaption of FFF printing of PEEK in space applications where quality assurance and reproducibility are paramount. In recent years, several research studies have examined the effect of printing parameters on the performance of the 3D-printed PEEK parts. The aim of the current review is to provide comprehensive information in relation to the process-structure-property relationships in FFF 3D-printing of PEEK to provide a clear baseline to the research community and assesses its potential for space applications, including out-of-earth manufacturing.

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