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Capturing the Real-Time Hydrolytic Degradation of a Library of Biomedical Polymers by Combining Traditional Assessment and Electrochemical Sensors
[Image: see text] We have developed an innovative methodology to overcome the lack of techniques for real-time assessment of degradable biomedical polymers at physiological conditions. The methodology was established by combining polymer characterization techniques with electrochemical sensors. The...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American
Chemical Society
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7875459/ https://www.ncbi.nlm.nih.gov/pubmed/33502851 http://dx.doi.org/10.1021/acs.biomac.0c01621 |
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author | Fuoco, Tiziana Cuartero, Maria Parrilla, Marc García-Guzmán, Juan José Crespo, Gaston A. Finne-Wistrand, Anna |
author_facet | Fuoco, Tiziana Cuartero, Maria Parrilla, Marc García-Guzmán, Juan José Crespo, Gaston A. Finne-Wistrand, Anna |
author_sort | Fuoco, Tiziana |
collection | PubMed |
description | [Image: see text] We have developed an innovative methodology to overcome the lack of techniques for real-time assessment of degradable biomedical polymers at physiological conditions. The methodology was established by combining polymer characterization techniques with electrochemical sensors. The in vitro hydrolytic degradation of a series of aliphatic polyesters was evaluated by following the molar mass decrease and the mass loss at different incubation times while tracing pH and l-lactate released into the incubation media with customized miniaturized electrochemical sensors. The combination of different analytical approaches provided new insights into the mechanistic and kinetics aspects of the degradation of these biomedical materials. Although molar mass had to reach threshold values for soluble oligomers to be formed and specimens’ resorption to occur, the pH variation and l-lactate concentration were direct evidence of the resorption of the polymers and indicative of the extent of chain scission. Linear models were found for pH and released l-lactate as a function of mass loss for the l-lactide-based copolymers. The methodology should enable the sequential screening of degradable polymers at physiological conditions and has potential to be used for preclinical material’s evaluation aiming at reducing animal tests. |
format | Online Article Text |
id | pubmed-7875459 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American
Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-78754592021-02-11 Capturing the Real-Time Hydrolytic Degradation of a Library of Biomedical Polymers by Combining Traditional Assessment and Electrochemical Sensors Fuoco, Tiziana Cuartero, Maria Parrilla, Marc García-Guzmán, Juan José Crespo, Gaston A. Finne-Wistrand, Anna Biomacromolecules [Image: see text] We have developed an innovative methodology to overcome the lack of techniques for real-time assessment of degradable biomedical polymers at physiological conditions. The methodology was established by combining polymer characterization techniques with electrochemical sensors. The in vitro hydrolytic degradation of a series of aliphatic polyesters was evaluated by following the molar mass decrease and the mass loss at different incubation times while tracing pH and l-lactate released into the incubation media with customized miniaturized electrochemical sensors. The combination of different analytical approaches provided new insights into the mechanistic and kinetics aspects of the degradation of these biomedical materials. Although molar mass had to reach threshold values for soluble oligomers to be formed and specimens’ resorption to occur, the pH variation and l-lactate concentration were direct evidence of the resorption of the polymers and indicative of the extent of chain scission. Linear models were found for pH and released l-lactate as a function of mass loss for the l-lactide-based copolymers. The methodology should enable the sequential screening of degradable polymers at physiological conditions and has potential to be used for preclinical material’s evaluation aiming at reducing animal tests. American Chemical Society 2021-01-27 2021-02-08 /pmc/articles/PMC7875459/ /pubmed/33502851 http://dx.doi.org/10.1021/acs.biomac.0c01621 Text en © 2021 American Chemical Society This is an open access article published under a Creative Commons Attribution (CC-BY) License (http://pubs.acs.org/page/policy/authorchoice_ccby_termsofuse.html) , which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited. |
spellingShingle | Fuoco, Tiziana Cuartero, Maria Parrilla, Marc García-Guzmán, Juan José Crespo, Gaston A. Finne-Wistrand, Anna Capturing the Real-Time Hydrolytic Degradation of a Library of Biomedical Polymers by Combining Traditional Assessment and Electrochemical Sensors |
title | Capturing the Real-Time Hydrolytic Degradation of
a Library of Biomedical Polymers by Combining Traditional Assessment
and Electrochemical Sensors |
title_full | Capturing the Real-Time Hydrolytic Degradation of
a Library of Biomedical Polymers by Combining Traditional Assessment
and Electrochemical Sensors |
title_fullStr | Capturing the Real-Time Hydrolytic Degradation of
a Library of Biomedical Polymers by Combining Traditional Assessment
and Electrochemical Sensors |
title_full_unstemmed | Capturing the Real-Time Hydrolytic Degradation of
a Library of Biomedical Polymers by Combining Traditional Assessment
and Electrochemical Sensors |
title_short | Capturing the Real-Time Hydrolytic Degradation of
a Library of Biomedical Polymers by Combining Traditional Assessment
and Electrochemical Sensors |
title_sort | capturing the real-time hydrolytic degradation of
a library of biomedical polymers by combining traditional assessment
and electrochemical sensors |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7875459/ https://www.ncbi.nlm.nih.gov/pubmed/33502851 http://dx.doi.org/10.1021/acs.biomac.0c01621 |
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