Crystal engineering of inorganic materials at organized organic surfaces: In vitro modelling of biomineralization

1989 ◽  
Vol 36 (3-4) ◽  
pp. 201
Author(s):  
S. Mann ◽  
B.R. Heywood ◽  
S. Rajam ◽  
J.B.A. Walker ◽  
J. Didymus
Keyword(s):  
Crystal Engineering ◽  
Inorganic Materials ◽  
Organic Surfaces ◽  
In Vitro Modelling

Biomineralization: New Routes to Crystal Engineering

1989 ◽  
Vol 174 ◽  
Author(s):  
Stephen Mann ◽  
Brigid R. Heywood ◽  
Jon M. Didymus ◽  
Sundara Rajam ◽  
Vanessa J. Wade ◽  
...  
Keyword(s):  
Molecular Weight ◽  
Molecular Recognition ◽  
High Molecular Weight ◽  
Crystal Engineering ◽  
Nucleation And Growth ◽  
Inorganic Materials ◽  
Interfacial Interactions ◽  
Monomolecular Films ◽  
Controlled Crystallization

AbstractThis paper discusses the principal features of biomineralization in relation to the controlled crystallization of inorganic materials, and the modelling of these concepts in vitro. The biological strategies adopted in the regulation of nucleation and growth are; (a) the use of constrained reaction environments, (b) the synthesis of chemically and structurally specific organic macromolecules, and (c) the secretion of tailor-made additives of low and high molecular weight. Underlying these strategies is the concept of molecular recognition at interfaces comprising organic and inorganic surfaces. The structural, electrostatic and stereochemical aspects of these interfacial interactions in systems involving supramolecular asemblies, Langmuir monomolecular films and tailored additives will be described.

scholarly journals Pumpless Microfluidic System for Bone Marrow Niche-on-a-Chip in vitro Modelling and Multiphoton Imaging in Leukemia

2020 ◽  
Vol 118 (3) ◽  
pp. 463a
Author(s):  
Giulia Borile ◽  
Giulia Borella ◽  
Camille Charoy ◽  
Andrea Filippi ◽  
Filippo Romanato ◽  
...  
Keyword(s):  
Bone Marrow ◽  
Microfluidic System ◽  
Bone Marrow Niche ◽  
Multiphoton Imaging ◽  
In Vitro Modelling

In vitro modelling of a mechanism of drug-related hypersensitivity

1992 ◽  
Vol 20 (1) ◽  
pp. 43S-43S
Author(s):  
W. ROGER RUSH ◽  
JANICE H. MULVEY ◽  
DOUGLAS J.M. GRAHAM
Keyword(s):  
In Vitro Modelling

Malignant ascites-derived organoid (MADO) cultures for gastric cancer in vitro modelling and drug screening

2019 ◽  
Vol 145 (11) ◽  
pp. 2637-2647 ◽  
Author(s):  
Jie Li ◽  
Huawei Xu ◽  
Lixing Zhang ◽  
Lele Song ◽  
Dan Feng ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Drug Screening ◽  
Malignant Ascites ◽  
In Vitro Modelling

scholarly journals OP0073 ESTABLISHMENT OF HUMAN INDUCED PLURIPOTENT STEM CELL-LINES (IPSC) FOR IN VITRO MODELLING HAND OSTHEOARTHRITIS

2019 ◽  
Author(s):  
Rocío Castro-Viñuelas ◽  
Clara Sanjurjo-Rodríguez ◽  
María Piñeiro-Ramil ◽  
Tamara Hermida Gómez ◽  
Isaac Fuentes-Boquete ◽  
...  
Keyword(s):  
Stem Cell ◽  
Cell Lines ◽  
Pluripotent Stem Cell ◽  
Induced Pluripotent Stem Cell ◽  
Stem Cell Lines ◽  
Induced Pluripotent ◽  
In Vitro Modelling

scholarly journals Comparison and process optimization of PLGA, chitosan and silica nanoparticles for potential oral vaccine delivery

2019 ◽  
Vol 10 (8) ◽  
pp. 493-514 ◽  
Author(s):  
Muhammad K Amin ◽  
Joshua S Boateng
Keyword(s):  
Silica Nanoparticles ◽  
Process Parameters ◽  
Functional Performance ◽  
Oral Vaccine ◽  
Polymer Concentration ◽  
Vaccine Delivery ◽  
Inorganic Materials ◽  
Protein Encapsulation ◽  
Scanning Transmission

Aim: The study compared performance of nanoparticles prepared from synthetic organic, natural organic and inorganic materials as vaccine delivery platforms. Materials & methods: Various formulation (concentration, polymer/silica:surfactant ratio, solvent) and process parameters (homogenization speed and time, ultrasonication) affecting functional performance characteristics of poly(lactic- co-glycolic acid) (PLGA), chitosan and silica-based nanoparticles containing bovine serum albumin were investigated. Nanoparticles were characterized using dynamic light scattering, x-ray diffraction, scanning/transmission electron microscopy, Fourier transform infrared spectroscopy and in vitro protein release. Results: Critical formulation parameters were surfactant concentration (PLGA, silica) and polymer concentration (chitosan). Optimized nanoparticles were spherical in shape with narrow size distribution and size ranges of 100–300 nm (blank) and 150–400 nm (protein loaded). Protein encapsulation efficiency was 26–75% and released within 48 h in a sustained manner. Conclusion: Critical formulation and process parameters affected size of PLGA, chitosan and silica nanoparticles and protein encapsulation, while silica produced the smallest and most stable nanoparticles.

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