The application provides a
prebiotic composition based on in-vitro
simulation and
artificial intelligence collaborative optimization, and an optimization method and
system thereof, which comprises the following steps: determining a target
physiological function to be adjusted, identifying microbial functional characteristics and genera related to the target
physiological function, and then deducing candidate prebiotics; constructing an in-vitro multi-chamber intestinal
simulation system to simulate the physiological environment from the
upper digestive tract to the colon and inoculate intestinal
flora samples; establishing a
machine learning model to predict the influence of different
prebiotic combinations on the abundance of target genera and the activity of metabolic pathways, thereby selecting candidate
prebiotic combinations; introducing the candidate prebiotic combinations predicted by the
machine learning model into the
simulation system, detecting changes in
flora composition and metabolic
product distribution, and verifying the actual effect of the candidate prebiotic combinations; based on the actual effect verified in step S4, optimizing the parameters of the
machine learning model in step S3 to form a closed-loop iterative screening process.