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dc.contributor.authorAbi-Akl, Rami
dc.contributor.authorLedieu, Elise
dc.contributor.authorEnke, Tim N.
dc.contributor.authorCordero, Otto X.
dc.contributor.authorCohen, Tal
dc.date.accessioned2020-05-08T14:00:59Z
dc.date.available2020-05-08T14:00:59Z
dc.date.issued2019-05
dc.date.submitted2019-02
dc.identifier.issn1744-683X
dc.identifier.issn1744-6848
dc.identifier.urihttps://hdl.handle.net/1721.1/125130
dc.description.abstractIn 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.en_US
dc.publisherRoyal Society of Chemistry (RSC)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1039/c9sm00262fen_US
dc.rightsCreative Commons Attribution Noncommercial 3.0 unported licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc/3.0/en_US
dc.sourceRoyal Society of Chemistry (RSC)en_US
dc.titlePhysics-based prediction of biopolymer degradationen_US
dc.typeArticleen_US
dc.identifier.citationAbi-Akl, Rami et al. "Physics-based prediction of biopolymer degradation." Soft Matter 15, 20 (May 2019): 4098-4108 © 2019 Royal Society of Chemistryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineeringen_US
dc.relation.journalSoft Matteren_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.date.submission2020-05-07T18:54:17Z
mit.journal.volume15en_US
mit.journal.issue20en_US
mit.licensePUBLISHER_CC
mit.metadata.statusComplete


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