a spatially continuous model of carbohydrate digestion and transport processes in the colon.
Clicks: 97
ID: 161180
2015
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
28.8
/100
97 views
7 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #219 of 234 articles by views in ensaio pesquisa em educação em ciências
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 234 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
A spatially continuous mathematical model of transport processes, anaerobic digestion and microbial complexity as would be expected in the human colon is presented. The model is a system of first-order partial differential equations with context determined number of dependent variables, and stiff, non-linear source terms. Numerical simulation of the model is used to elucidate information about the colon-microbiota complex. It is found that the composition of materials on outflow of the model does not well-describe the composition of material in other model locations, and inferences using outflow data varies according to model reactor representation. Additionally, increased microbial complexity allows the total microbial community to withstand major system perturbations in diet and community structure. However, distribution of strains and functional groups within the microbial community can be modified depending on perturbation length and microbial kinetic parameters. Preliminary model extensions and potential investigative opportunities using the computational model are discussed.
| Reference Key |
moorthy2015plosa
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Arun S Moorthy;Stephen P J Brooks;Martin Kalmokoff;Hermann J Eberl |
| Journal | ensaio pesquisa em educação em ciências |
| Year | 2015 |
| DOI |
10.1371/journal.pone.0145309
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.