Assessing the influence of reactor system design criteria on the performance of model colon fermentation units

Journal of Bioscience and Bioengineering

Volumn 117, Issue 4, 2014, Pages 478-484

  Moorthy, Arun S ^a   Eberl, Hermann J ^a  

^a UNIVERSITY OF GUELPH   (Canada)

Author keywords

Anaerobic digestion; Factorial simulations; Fermentation reactor design; Intestinal microflora; Mathematical modelling

Indexed keywords

ANAEROBIC DIGESTION; BIOMASS; EXPERIMENTS; MATHEMATICAL MODELS; SYSTEMS ANALYSIS;

BIOMASS COMPOSITIONS; FACTORIAL EXPERIMENT; FACTORIAL SIMULATIONS; FERMENTATION SYSTEMS; MICROBIAL IMMOBILIZATION; MICROFLORA; REACTOR DESIGNS; SYSTEM DESIGN COMPLEXITY;

FERMENTATION;

ANAEROBIC DIGESTION; ANALYTIC METHOD; ARTICLE; BIOMASS; COLON; COLON FERMENTATION REACTOR SYSTEM; COMPUTER MODEL; DENSITY; DIET; DIET SUPPLEMENTATION; EXPERIMENTAL DESIGN; FERMENTATION; FERMENTATION MODEL; HUMAN; IMMOBILIZATION; IN VITRO STUDY; INTESTINE FLORA; MICROBIAL COMMUNITY; MICROBIAL IMMOBILIZATION; NONHUMAN; REACTOR DESIGN;

ANAEROBIC DIGESTION; FACTORIAL SIMULATIONS; FERMENTATION REACTOR DESIGN; INTESTINAL MICROFLORA; MATHEMATICAL MODELLING;

ANAEROBIOSIS; BIOMASS; BIOREACTORS; COLON; COMPUTER SIMULATION; DIETARY FIBER; DIGESTION; FERMENTATION; HUMANS; MODELS, BIOLOGICAL;

EID: 84895872355     PISSN: 13891723     EISSN: 13474421     Source Type: Journal    
DOI: 10.1016/j.jbiosc.2013.09.015     Document Type: Article

References (35)

1. Kovatcheva-Datchary P., Zoetendal E., Venema K., de Vos W., Smidt H. Review: tools for the tract: understanding the functionality of the gastrointestinal tract. Ther. Adv. Gastroenterol. 2009, 2:s9-s22.
2. Guarner F., Malagelada J. Gut flora in health and disease. Lancet 2003, 361:512-519.
3. Alander M., De Smet I., Nollet L., Verstraete W., Von Wright A., Mattila-Sandholm T. The effect of probiotic strains on the microbiota of the simulator of the human intestinal microbial ecosystem (shime). Int. J. Food Microbiol. 1999, 46:71-79.
4. Hooper L., Wong M., Thelin A., Hansson L., Falk P., Gordon J. Molecular analysis of commensal host-microbial relationships in the intestine. Science 2001, 291:881-884.
5. Hill M. Intestinal flora and endogenous vitamin synthesis. Eur. J. Cancer Prev. 1997, 6:S43-S45.
6. Miyazawa E., Iwabuchi A., Yoshida T. Phytate breakdown and apparent absorption of phosphorus, calcium and magnesium in germfree and conventionalized rats. Nutr. Res. 1996, 16:603-613.
7. Falk P., Hooper L., Midtvedt T., Gordon J. Creating and maintaining the gastrointestinal ecosystem: what we know and need to know from gnotobiology. Microbiol. Mol. Biol. Rev. 1998, 62:1157-1170.
8. Lievin V., Peiffer I., Hudault S., Rochat F., Brassart D., Neeser J., Servin A. Bifidobacterium strains from resident infant human gastrointestinal microflora exert antimicrobial activity. Gut 2000, 47:646-652.
9. Macfarlane G., Macfarlane S. Models for intestinal fermentation: association between food components, delivery systems, bioavailability and functional interactions in the gut. Curr. Opin. Biotechnol. 2007, 18:156-162.
10. Payne A.N., Zihler A., Chassard C., Lacroix C. Advances and perspectives in in vitro human gut fermentation modeling. Trends Biotechnol. 2012, 30:17-25.
11. Minekus M., Smeets-Peeters M., Bernalier A., Marol-Bonnin S., Havenaar R., Marteau P., Alric M., Fonty G., Huis In't Veld J. A computer-controlled system to simulate conditions of the large intestine with peristaltic mixing, water absorption and absorption of fermentation products. Appl. Microbiol. Biotechnol. 1999, 53:108-114.
12. Molly K., Woestyne M., Verstraete W. Development of a 5-step multi-chamber reactor as a simulation of the human intestinal microbial ecosystem. Appl. Microbiol. Biotechnol. 1993, 39:254-258.
13. Vardakou M., Nueno Palop C., Gasson M., Narbad A., Christakopoulos P. In vitro three-stage continuous fermentation of wheat arabinoxylan fractions and induction of hydrolase activity by the gut microflora. Int. J. Biol. Macromolecules 2007, 41:584-589.
14. Lesmes U., Beards E., Gibson G., Tuohy K., Shimoni E. Effects of resistant starch type iii polymorphs on human colon microbiota and short chain fatty acids in human gut models. J. Agric. Food Chem. 2008, 56:5415-5421.
15. Pompei A., Cordisco L., Raimondi S., Amaretti A., Pagnoni U., Matteuzzi D., Rossi M. In vitro comparison of the prebiotic effects of two inulin-type fructans. Anaerobe 2008, 14:280-286.
16. Cummings J., Macfarlane G., Englyst H. Prebiotic digestion and fermentation. Am. J. Clin. Nutr. 2001, 73:415s-420s.
17. Gibson G., Fuller R. Aspects of in vitro and in vivo research approaches directed toward identifying probiotics and prebiotics for human use. J. Nutr. 2000, 130:391S-395S.
18. McBain A., Macfarlane G. Investigations of bifidobacterial ecology and oligosaccharide metabolism in a three-stage compound continuous culture system. Scand. J. Gastroenterolo. Suppl. 1997, 222:32-40.
19. Cinquin C., Le Blay G., Fliss I., Lacroix C. New three-stage in vitro model for infant colonic fermentation with immobilized fecal microbiota. FEMS Microbiol. Ecol. 2006, 57:324-336.
20. Minekus M., Marteau P., Havenaar R., Huis In't Veld J. A multicompartmental dynamic computer-controlled model simulating the stomach and small intestine. Altern. Lab. Anim. 1995, 23:197-209.
21. Banadda N., Nhapi I., Kimwaga R. A review of modeling approaches in activated sludge systems. Afr. J. Environ. Sci. Technol. 2011, 5:397-408.
22. Grimm V. Mathematical models and understanding in ecology. Ecol. Model. 1994, 75:641-651.
23. Othmer H., Adler F., Lewis M., Dallon J. Case studies in mathematical modeling-ecology, physiology, and cell biology 1997, Prentice Hall, Englewood Cliffs, USA.
24. Soetaert K., Herman P. A practical guide to ecological modelling: using R as a simulation platform 2009, Springer Science+Business, Heidelberg, Germany.
25. Batstone D., Keller J., Angelidaki I., Kalyuzhnyi S., Pavlostathis S., Rozzi A., Sanders W., Siegrist H., Vavilin V. The IWA anaerobic digestion model no 1 (ADM 1). Water Sci. Technol. 2002, 45(10):65-73.
26. Baranyi J., Roberts T. Mathematics of predictive food microbiology. Int. J. Food Microbiol. 1995, 26:199-218.
27. Muñoz-Tamayo R., Laroche B., Walter É., Doré J., Leclerc M. Mathematical modelling of carbohydrate degradation by human colonic microbiota. J. Theor. Biol. 2010, 266:189-201.
28. Clydesdale F.M. A proposal for the establishment of scientific criteria for health claims for functional foods. Nutr. Rev. 1997, 55:413-422.
29. Redgwell R.J., Fischer M. Dietary fiber as a versatile food component: an industrial perspective. Mol. Nutr. Food Res. 2005, 49:521-535.
30. Box G., Hunter J., Hunter W. Statistics for experimenters: design, innovation, and discovery 2005, Wiley Interscience, New York, USA. 2nd ed.
31. Kleijnen J.P. An overview of the design and analysis of simulation experiments for sensitivity analysis. Eur. J. Oper. Res. 2005, 164:287-300.
32. Peet R. The measurement of species diversity. Annu. Rev. Ecol. Syst. 1974, 5:285-307.
33. Hunter P., Gaston M. Numerical index of the discriminatory ability of typing systems: an application of Simpson's index of diversity. J. Clin. Microbiol. 1988, 26:2465-2466.
34. Perni S., Andrew P.W., Shama G. Estimating the maximum growth rate from microbial growth curves: definition is everything. Food Microbiol. 2005, 22:491-495.
35. Antoniou P., Hamilton J., Koopman B., Jain R., Holloway B., Lyberatos G., Svoronos S. Effect of temperature and ph on the effective maximum specific growth rate of nitrifying bacteria. Water Res. 1990, 24:97-101.