Related Experiment Videos
Effect of human faecal inoculum on in vitro fermentation variables
1Department of Nutritional Sciences, University of Toronto, Ontario, Canada.
The British Journal of Nutrition
|September 1, 1987
Summary
Human fecal samples are reliable for in vitro fermentation studies, showing consistent results across different collection times. This confirms their utility for evaluating substrate fermentation properties.
Area of Science:
- Microbiology
- Nutritional Science
- Gastroenterology
Background:
- In vitro fermentation models are crucial for understanding gut microbiota activity.
- Human fecal material serves as a source of diverse gut microorganisms for such studies.
- Assessing the consistency of human fecal samples is vital for reliable experimental outcomes.
Purpose of the Study:
- To evaluate the uniformity of human fecal microbiota across different collection months.
- To determine the influence of substrate type and incubation time on fermentation parameters.
- To confirm the suitability of human fecal material for in vitro fermentation assays.
Main Methods:
- Human fecal samples from a single source were collected over three months.
- Samples were incubated with standard substrates (oat bran, wheat bran, red kidney beans, guar gum) for 4, 8, 12, and 24 hours.
- Measurements included neutral-detergent fiber, organic matter (OM) digestibility, gas production, and short-chain fatty acid (SCFA) production.
Main Results:
- Substrate and incubation period significantly affected OM digestibility, gas production, and SCFA profiles.
- Fermentation patterns were consistent across different collection months, indicating uniformity.
- Rapidly fermentable substrates showed no further fermentation beyond 12 hours.
Conclusions:
- Human fecal material exhibits sufficient uniformity for consistent in vitro fermentation studies.
- Human fecal samples are a practical and reliable source of microorganisms for substrate fermentation evaluation.
- The findings support the use of human fecal incubations to predict in vivo fermentation characteristics.