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Updated: Apr 8, 2026

Author Spotlight: Optimizing Hollow-Fiber Membranes for Continuous Liquid-Liquid Extraction of Medium-Chain Fatty Acids
Published on: August 9, 2024
Engineering SCFAs with dietary fibre combinations: insights from a kinetic-microbiome single-subject longitudinal
Christo Opperman1, Charmaine Lloyd2, Vishal Ratanpaul3
1School of Science, STEM College, RMIT University, Bundoora West, VIC 3083, Australia; Department of Food Technology and Nutrition, STEicsM College, Bundoora West Campus, VIC 3083, Australia.
None:
The human diet plays a pivotal role in health, yet many studies seeking to identify health-promoting foods rely on experimental designs that poorly reflect natural circumstances. The effects of dietary fibres on the microbiota are typically examined using pooled faecal material and isolated fibres, creating unrealistic environments. Additionally, little progress has been made in distinctly characterising the fermentation rates of dietary fibres. To evaluate the temporal dynamics of gut microbial composition and metabolite production, as well as to characterise the fermentation rates of dietary fibres at an individual level, we conducted an n-of-1 longitudinal study examining responses to eight distinct dietary fibres, fermented both individually and in combination. A blend of sugarcane fibre and cassava resistant starch produced significantly higher butyrate levels (p < 0.0001) than either fibre alone. Microbial profiling showed that inulin and pectin selectively enriched Bifidobacterium spp. Anaerobutyricum hallii was increased with psyllium husk, wheat dextrin, and banana resistant starch, but decreased with a mixture of sugarcane fibre and cassava resistant starch (p < 0.0001). Fermentation kinetics were distinctly categorised into "fast", "medium", "slow" and "poorly-fermentable". These findings indicate that combinations of dietary fibres can be used as a strategy to engineer synergistic health-promoting metabolite responses in an individual, while establishing a standardised framework for describing fermentation rates across studies.
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