Cargando…

Correlating Synthesis Parameters to Morphological Entities: Predictive Modeling of Biopolymer Aerogels

In the past decade, biopolymer aerogels have gained significant research attention due to their typical properties, such as low density and thermal insulation, which are reinforced with excellent biocompatibility, biodegradability, and ease of functionalization. Mechanical properties of these aeroge...

Descripción completa

Detalles Bibliográficos
Autores principales: Rege, Ameya, Preibisch, Imke, Schestakow, Maria, Ganesan, Kathirvel, Gurikov, Pavel, Milow, Barbara, Smirnova, Irina, Itskov, Mikhail
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163492/
https://www.ncbi.nlm.nih.gov/pubmed/30205623
http://dx.doi.org/10.3390/ma11091670
_version_ 1783359374146666496
author Rege, Ameya
Preibisch, Imke
Schestakow, Maria
Ganesan, Kathirvel
Gurikov, Pavel
Milow, Barbara
Smirnova, Irina
Itskov, Mikhail
author_facet Rege, Ameya
Preibisch, Imke
Schestakow, Maria
Ganesan, Kathirvel
Gurikov, Pavel
Milow, Barbara
Smirnova, Irina
Itskov, Mikhail
author_sort Rege, Ameya
collection PubMed
description In the past decade, biopolymer aerogels have gained significant research attention due to their typical properties, such as low density and thermal insulation, which are reinforced with excellent biocompatibility, biodegradability, and ease of functionalization. Mechanical properties of these aerogels play an important role in several applications and should be evaluated based on synthesis parameters. To this end, preparation and characterization of polysaccharide-based aerogels, such as pectin, cellulose and k-carrageenan, is first discussed. An interrelationship between their synthesis parameters and morphological entities is established. Such aerogels are usually characterized by a cellular morphology, and under compression undergo large deformations. Therefore, a nonlinear constitutive model is proposed based on large deflections in microcell walls of the aerogel network. Different sizes of the microcells within the network are identified via nitrogen desorption isotherms. Damage is initiated upon pore collapse, which is shown to result from the failure of the microcell wall fibrils. Finally, the model predictions are validated against experimental data of pectin, cellulose, and k-carrageenan aerogels. Given the micromechanical nature of the model, a clear correlation—qualitative and quantitative—between synthesis parameters and the model parameters is also substantiated. The proposed model is shown to be useful in tailoring the mechanical properties of biopolymer aerogels subject to changes in synthesis parameters.
format Online
Article
Text
id pubmed-6163492
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-61634922018-10-12 Correlating Synthesis Parameters to Morphological Entities: Predictive Modeling of Biopolymer Aerogels Rege, Ameya Preibisch, Imke Schestakow, Maria Ganesan, Kathirvel Gurikov, Pavel Milow, Barbara Smirnova, Irina Itskov, Mikhail Materials (Basel) Article In the past decade, biopolymer aerogels have gained significant research attention due to their typical properties, such as low density and thermal insulation, which are reinforced with excellent biocompatibility, biodegradability, and ease of functionalization. Mechanical properties of these aerogels play an important role in several applications and should be evaluated based on synthesis parameters. To this end, preparation and characterization of polysaccharide-based aerogels, such as pectin, cellulose and k-carrageenan, is first discussed. An interrelationship between their synthesis parameters and morphological entities is established. Such aerogels are usually characterized by a cellular morphology, and under compression undergo large deformations. Therefore, a nonlinear constitutive model is proposed based on large deflections in microcell walls of the aerogel network. Different sizes of the microcells within the network are identified via nitrogen desorption isotherms. Damage is initiated upon pore collapse, which is shown to result from the failure of the microcell wall fibrils. Finally, the model predictions are validated against experimental data of pectin, cellulose, and k-carrageenan aerogels. Given the micromechanical nature of the model, a clear correlation—qualitative and quantitative—between synthesis parameters and the model parameters is also substantiated. The proposed model is shown to be useful in tailoring the mechanical properties of biopolymer aerogels subject to changes in synthesis parameters. MDPI 2018-09-09 /pmc/articles/PMC6163492/ /pubmed/30205623 http://dx.doi.org/10.3390/ma11091670 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Rege, Ameya
Preibisch, Imke
Schestakow, Maria
Ganesan, Kathirvel
Gurikov, Pavel
Milow, Barbara
Smirnova, Irina
Itskov, Mikhail
Correlating Synthesis Parameters to Morphological Entities: Predictive Modeling of Biopolymer Aerogels
title Correlating Synthesis Parameters to Morphological Entities: Predictive Modeling of Biopolymer Aerogels
title_full Correlating Synthesis Parameters to Morphological Entities: Predictive Modeling of Biopolymer Aerogels
title_fullStr Correlating Synthesis Parameters to Morphological Entities: Predictive Modeling of Biopolymer Aerogels
title_full_unstemmed Correlating Synthesis Parameters to Morphological Entities: Predictive Modeling of Biopolymer Aerogels
title_short Correlating Synthesis Parameters to Morphological Entities: Predictive Modeling of Biopolymer Aerogels
title_sort correlating synthesis parameters to morphological entities: predictive modeling of biopolymer aerogels
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163492/
https://www.ncbi.nlm.nih.gov/pubmed/30205623
http://dx.doi.org/10.3390/ma11091670
work_keys_str_mv AT regeameya correlatingsynthesisparameterstomorphologicalentitiespredictivemodelingofbiopolymeraerogels
AT preibischimke correlatingsynthesisparameterstomorphologicalentitiespredictivemodelingofbiopolymeraerogels
AT schestakowmaria correlatingsynthesisparameterstomorphologicalentitiespredictivemodelingofbiopolymeraerogels
AT ganesankathirvel correlatingsynthesisparameterstomorphologicalentitiespredictivemodelingofbiopolymeraerogels
AT gurikovpavel correlatingsynthesisparameterstomorphologicalentitiespredictivemodelingofbiopolymeraerogels
AT milowbarbara correlatingsynthesisparameterstomorphologicalentitiespredictivemodelingofbiopolymeraerogels
AT smirnovairina correlatingsynthesisparameterstomorphologicalentitiespredictivemodelingofbiopolymeraerogels
AT itskovmikhail correlatingsynthesisparameterstomorphologicalentitiespredictivemodelingofbiopolymeraerogels