Skip navigation
  •  Home
  • UDC 
    • Getting started
    • RUC Policies
    • FAQ
    • FAQ on Copyright
    • More information at INFOguias UDC
  • Browse 
    • Communities
    • Browse by:
    • Issue Date
    • Author
    • Title
    • Subject
  • Help
    • español
    • Gallegan
    • English
  • Login
  •  English 
    • Español
    • Galego
    • English
  
View Item 
  •   DSpace Home
  • 1. Investigación
  • Grupos de investigación
  • Redes de Neuronas Artificiais e Sistemas Adaptativos -Informática Médica e Diagnóstico Radiolóxico (RNASA - IMEDIR)
  • GI-RNASA - Artigos
  • View Item
  •   DSpace Home
  • 1. Investigación
  • Grupos de investigación
  • Redes de Neuronas Artificiais e Sistemas Adaptativos -Informática Médica e Diagnóstico Radiolóxico (RNASA - IMEDIR)
  • GI-RNASA - Artigos
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Experimental Study and ANN Dual-Time Scale Perturbation Model of Electrokinetic Properties of Microbiota

Thumbnail
View/Open
Liu_Experimental.pdf (1.174Mb)
Use this link to cite
http://hdl.handle.net/2183/22489
Atribución 3.0 España
Except where otherwise noted, this item's license is described as Atribución 3.0 España
Collections
  • INIBIC-RNASA-IMEDIR - Artigos [46]
  • GI-RNASA - Artigos [163]
Metadata
Show full item record
Title
Experimental Study and ANN Dual-Time Scale Perturbation Model of Electrokinetic Properties of Microbiota
Author(s)
Liu, Yong
Munteanu, Cristian-Robert
Fernández-Lozano, Carlos
Pazos, A.
Ran, Tao
Tan, Zhiliang
Zhou, Chuanshe
Tang, Shaoxun
González-Díaz, Humberto
Date
2017-06-30
Citation
Liu Y, Munteanu CR, Fernandez-Lozano C, Pazos A, Ran T, Tan Z, Yu Y, Zhou C, Tang S and González-Díaz H (2017) Experimental Study and ANN Dual-Time Scale Perturbation Model of Electrokinetic Properties of Microbiota. Front. Microbiol. 8:1216nlm journals
Abstract
[Abstract] The electrokinetic properties of the rumen microbiota are involved in cell surface adhesion and microbial metabolism. An in vitro study was carried out in batch culture to determine the effects of three levels of special surface area (SSA) of biomaterials and four levels of surface tension (ST) of culture medium on electrokinetic properties (Zeta potential, ξ; electrokinetic mobility, μe), fermentation parameters (volatile fatty acids, VFAs), and ST over fermentation processes (ST-a, γ). The obtained results were combined with previously published data (digestibility, D; pH; concentration of ammonia nitrogen, c(NH3-N)) to establish a predictive artificial neural network (ANN) model. Concepts of dual-time series analysis, perturbation theory (PT), and Box-Jenkins Operators were applied for the first time to develop an ANN model to predict the variations of the electrokinetic properties of microbiota. The best dual-time series Radial Basis Functions (RBR) model for ξ of rumen microbiota predicted ξ for >30,000 cases with a correlation coefficient >0.8. This model provided insight into the correlations between electrokinetic property (zeta potential) of rumen microbiota and the perturbations of physical factors (specific surface area and surface tension) of media, digestibility of substrate, and their metabolites (NH3-N, VFAs) in relation to environmental factors.
Keywords
Electrokinetic properties
Zeta potential
Artificial neural networks
Perturbation theory
Predictive model
Ruminal microbiome
 
Editor version
https://dx.doi.org/10.3389%2Ffmicb.2017.01216
Rights
Atribución 3.0 España
ISSN
1664-302X

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

LoginRegister

Statistics

View Usage Statistics
Sherpa
OpenArchives
OAIster
Scholar Google
UNIVERSIDADE DA CORUÑA. Servizo de Biblioteca.    DSpace Software Copyright © 2002-2013 Duraspace - Send Feedback