Abstract: To address the issues with traditional slime dispersibility testing methods,such as significant human operational errors, low accuracy, and poor precision,a novel evaluation method was developed based on laser turbidity analysis. The method dynamically monitors changes in turbidity in the upper layer of a slime suspension in real time, applies nonlinear regression analysis and noise reduction processing to the experimental data using a univariate sixth-degree polynomial function, and derives the slime dispersion rate of the chemical accordingly to evaluate its dispersibility performance.This approach enables automated data acquisition to eliminate human-induced uncertainty. By conducting in-situ “blank” and “chemical dosing” experiments, it effectively mitigates the impact of sample heterogeneity to achieve better experimental repeatability. Additionally, standardized data processing ensures consistency and representativeness in measurements. The relative standard deviation of results reduces to just about 5%, a significant improvement over traditional methods. This method provides a more scientific and objective evaluation tool for the development and application of circulating water treatment chemicals.

Key words: microbial slime, dispersion rate, laser turbidity analysis, evaluation method, standard deviation