Physics-based prediction of biopolymer degradation
In the natural environment, insoluble biomatter provides a preeminent source of carbon for bacteria. Its degradation by microbial communities thus plays a major role in the global carbon-cycle. The prediction of degradation processes and their sensitivity to changes in environmental conditions can t...
| Main Authors: | , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Published: |
Royal Society of Chemistry (RSC)
2020
|
| Online Access: | https://hdl.handle.net/1721.1/125130 |
| _version_ | 1826196722433392640 |
|---|---|
| author | Abi-Akl, Rami Ledieu, Elise Enke, Tim N. Cordero, Otto X. Cohen, Tal |
| author2 | Massachusetts Institute of Technology. Department of Mechanical Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Mechanical Engineering Abi-Akl, Rami Ledieu, Elise Enke, Tim N. Cordero, Otto X. Cohen, Tal |
| author_sort | Abi-Akl, Rami |
| collection | MIT |
| description | In the natural environment, insoluble biomatter provides a preeminent source of carbon for bacteria. Its degradation by microbial communities thus plays a major role in the global carbon-cycle. The prediction of degradation processes and their sensitivity to changes in environmental conditions can therefore provide critical insights into globally occurring environmental adaptations. To elucidate and quantify this macro-scale phenomenon, we conduct micro-scale experiments that examine the degradation of isolated biopolymer particles and observe highly nonlinear degradation kinetics. Since conventional scaling arguments fail to explain these observations, it is inferred that the coupled influence of both the physical and biochemical processes must be considered. Hence, we develop a theoretical model that accounts for the bio-chemo-mechanically coupled kinetics of polymer degradation, by considering the production of bio-degraders and their ability to both dissociate the material from its external boundaries and to penetrate it to degrade its internal mechanical properties. This change in mechanical properties combined with the intake of solvent or moisture from the environment leads to chemo-mechanically coupled swelling of the material and, in-turn, influences the degradation kinetics. We show that the model quantitatively captures our experimental results and reveals distinct signatures of different bacteria that are independent of the specific experimental conditions (i.e. particle volume and initial concentrations). Finally, after validating our model against the experimental data we extend our predictions for degradation processes across various length and time scales that are inaccessible in a laboratory setting. |
| first_indexed | 2024-09-23T10:35:27Z |
| format | Article |
| id | mit-1721.1/125130 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T10:35:27Z |
| publishDate | 2020 |
| publisher | Royal Society of Chemistry (RSC) |
| record_format | dspace |
| spelling | mit-1721.1/1251302022-09-30T21:45:38Z Physics-based prediction of biopolymer degradation Abi-Akl, Rami Ledieu, Elise Enke, Tim N. Cordero, Otto X. Cohen, Tal Massachusetts Institute of Technology. Department of Mechanical Engineering Massachusetts Institute of Technology. Department of Civil and Environmental Engineering In the natural environment, insoluble biomatter provides a preeminent source of carbon for bacteria. Its degradation by microbial communities thus plays a major role in the global carbon-cycle. The prediction of degradation processes and their sensitivity to changes in environmental conditions can therefore provide critical insights into globally occurring environmental adaptations. To elucidate and quantify this macro-scale phenomenon, we conduct micro-scale experiments that examine the degradation of isolated biopolymer particles and observe highly nonlinear degradation kinetics. Since conventional scaling arguments fail to explain these observations, it is inferred that the coupled influence of both the physical and biochemical processes must be considered. Hence, we develop a theoretical model that accounts for the bio-chemo-mechanically coupled kinetics of polymer degradation, by considering the production of bio-degraders and their ability to both dissociate the material from its external boundaries and to penetrate it to degrade its internal mechanical properties. This change in mechanical properties combined with the intake of solvent or moisture from the environment leads to chemo-mechanically coupled swelling of the material and, in-turn, influences the degradation kinetics. We show that the model quantitatively captures our experimental results and reveals distinct signatures of different bacteria that are independent of the specific experimental conditions (i.e. particle volume and initial concentrations). Finally, after validating our model against the experimental data we extend our predictions for degradation processes across various length and time scales that are inaccessible in a laboratory setting. 2020-05-08T14:00:59Z 2020-05-08T14:00:59Z 2019-05 2019-02 Article http://purl.org/eprint/type/JournalArticle 1744-683X 1744-6848 https://hdl.handle.net/1721.1/125130 Abi-Akl, Rami et al. "Physics-based prediction of biopolymer degradation." Soft Matter 15, 20 (May 2019): 4098-4108 © 2019 Royal Society of Chemistry http://dx.doi.org/10.1039/c9sm00262f Soft Matter Creative Commons Attribution Noncommercial 3.0 unported license https://creativecommons.org/licenses/by-nc/3.0/ application/pdf Royal Society of Chemistry (RSC) Royal Society of Chemistry (RSC) |
| spellingShingle | Abi-Akl, Rami Ledieu, Elise Enke, Tim N. Cordero, Otto X. Cohen, Tal Physics-based prediction of biopolymer degradation |
| title | Physics-based prediction of biopolymer degradation |
| title_full | Physics-based prediction of biopolymer degradation |
| title_fullStr | Physics-based prediction of biopolymer degradation |
| title_full_unstemmed | Physics-based prediction of biopolymer degradation |
| title_short | Physics-based prediction of biopolymer degradation |
| title_sort | physics based prediction of biopolymer degradation |
| url | https://hdl.handle.net/1721.1/125130 |
| work_keys_str_mv | AT abiaklrami physicsbasedpredictionofbiopolymerdegradation AT ledieuelise physicsbasedpredictionofbiopolymerdegradation AT enketimn physicsbasedpredictionofbiopolymerdegradation AT corderoottox physicsbasedpredictionofbiopolymerdegradation AT cohental physicsbasedpredictionofbiopolymerdegradation |