Mathematical Models for Phase Transitions in Biogels

gdc.relation.journal MODERN PHYSICS LETTERS B en_US
dc.contributor.author Bilge, Ayşe Hümeyra
dc.contributor.author Öğrenci, Arif Selçuk
dc.contributor.author Pekcan, Önder
dc.contributor.other Industrial Engineering
dc.contributor.other Molecular Biology and Genetics
dc.contributor.other 05. Faculty of Engineering and Natural Sciences
dc.contributor.other 01. Kadir Has University
dc.date.accessioned 2019-06-10T19:07:08Z
dc.date.available 2019-06-10T19:07:08Z
dc.date.issued 2019-03-30 en_US
dc.description.abstract It has been shown that reversible and irreversible phase transitions of biogels can be represented by epidemic models. The irreversible chemical sol-gel transitions are modeled by the Susceptible-Exposed-Infected-Removed (SEIR) or Susceptible-Infected-Removed (SIR) epidemic systems whereas reversible physical gels are modeled by a modification of the Susceptible-Infected-Susceptible (SIS) system. Measured sol-gel and gel-sol transition data have been fitted to the solutions of the epidemic models, either by solving the differential equations directly (SIR and SEIR models) or by nonlinear regression (SIS model). The gel point is represented as the "critical point of sigmoid," defined as the limit point of the locations of the extreme values of its derivatives. Then, the parameters of the sigmoidal curve representing the gelation process are used to predict the gel point and its relative position with respect to the transition point, that is, the maximum of the first derivative with respect to time. For chemical gels, the gel point is always located before the maximum of the first derivative and moves backward in time as the strength of the activation increases. For physical gels, the critical point for the sol-gel transition occurs before the maximum of the first derivative with respect to time, that is, it is located at the right of this maximum with respect to temperature. For gel-sol transitions, the critical point is close to the transition point; the critical point occurs after the maximum of the first derivative for low concentrations whereas the critical point occurs after the maximum of the first derivative for higher concentrations. en_US
dc.identifier.doi 10.1142/S0217984919501112 en_US
dc.identifier.issn 0217-9849 en_US
dc.identifier.issn 1793-6640 en_US
dc.identifier.scopus 2-s2.0-85062917906 en_US
dc.identifier.uri https://hdl.handle.net/20.500.12469/27
dc.identifier.uri https://doi.org/10.1142/S0217984919501112
dc.language.iso en en_US
dc.publisher World Scientific Publ Co Pte Ltd en_US
dc.relation.ispartof Modern Physics Letters B
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Sol-gel and gel-sol phase transition en_US
dc.subject Gel point en_US
dc.subject Critical point of sigmoid en_US
dc.subject Epidemic model en_US
dc.subject Generalized logistic curve en_US
dc.title Mathematical Models for Phase Transitions in Biogels en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.institutional Bilge, Ayşe Hümeyra en_US
gdc.author.institutional Bilge, Ayşe Hümeyra
gdc.author.institutional Pekcan, Önder en_US
gdc.author.institutional Pekcan, Mehmet Önder
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
gdc.bip.popularityclass C5
gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.description.department Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü en_US
gdc.description.departmenttemp Kadir Has Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü en_US
gdc.description.issue 9 en_US
gdc.description.startpage 1950111
gdc.description.volume 33 en_US
gdc.identifier.openalex W2922220574
gdc.identifier.wos WOS:000463148900013 en_US
gdc.oaire.diamondjournal false
gdc.oaire.impulse 1.0
gdc.oaire.influence 2.7493468E-9
gdc.oaire.isgreen true
gdc.oaire.keywords Generalized logistic curve
gdc.oaire.keywords Critical point of sigmoid
gdc.oaire.keywords Epidemic model
gdc.oaire.keywords Sol-gel and gel-sol phase transition
gdc.oaire.keywords Gel point
gdc.oaire.popularity 2.4169613E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 02 engineering and technology
gdc.oaire.sciencefields 0210 nano-technology
gdc.oaire.sciencefields 01 natural sciences
gdc.oaire.sciencefields 0104 chemical sciences
gdc.openalex.fwci 0.19
gdc.openalex.normalizedpercentile 0.42
gdc.opencitations.count 2
gdc.plumx.mendeley 1
gdc.plumx.scopuscites 2
gdc.scopus.citedcount 2
gdc.wos.citedcount 2
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