The invention discloses a microbial
community-based industrial
wastewater toxicity rapid assessment method, and particularly relates to the technical field of
toxicity assessment, and the method comprises the steps of S1,
stress assessment platform construction, S2, stress response
data acquisition, S3,
community function redundancy quantification, S4, metabolic flux disturbance tracking, and S5, dynamic network
toxicity index generation. The
dynamic stress reactor is used for simulating the gradient change of the concentration of the
wastewater, the evaluation accuracy of the fluctuation toxicity of the industrial
wastewater is remarkably improved, the method is particularly suitable for industries with frequent
impact loads such as
pharmacy and
petrochemical engineering, and the evaluation accuracy of the fluctuation toxicity of the industrial wastewater is remarkably improved by combining functional redundancy loss index and
gene-
enzyme activity decoupling coefficient double-level analysis. According to the method, toxicity targeting disturbance of a specific
metabolic pathway is accurately recognized, the problem of
leak detection of a traditional method on composite pollutants and high-redundancy communities is solved, dynamic environment parameters such as a dissolved
oxygen variable coefficient and a pH
recovery slope are fused to construct a multi-parameter toxicity index, the sensitivity to non-lethal recessive toxic substances is greatly enhanced, and the false negative risk is avoided.