Study on optimization of experimental conditions of microbial
desulfurization in coal mine by response surface methodology
Abstract: To reduce the risk of spontaneous combustion during coal
storage and transportation, microbial desulfurization technology is used
to reduce the content of inorganic sulfur in coal. A strain of
Thiobacillus ferrooxidans was purified from coal mine water in Datong,
Shanxi Province, and its desulfurization test conditions were optimized.
Taking the removal rate of inorganic sulfur in coal as the response
value, the main factors affecting the removal rate of inorganic sulfur
were screened out by Plackett-Burman design method. Then, the steepest
climbing test was carried out to obtain the test center point, the
continuous variable surface model was established by response surface
method, and the interaction of various influence factors was determined.
The results show that the order of the three main factors influencing
the removal rate of inorganic sulfur is temperature > coal
particle size > desulfurization time, and the interaction
between temperature and coal particle size has the greatest influence on
the response value. The optimized desulfurization conditions are as
follows: the temperature is 29.50 ℃, the coal particle size is 100 mesh,
and the desulfurization time is 11.67 days. The removal rate of
inorganic sulfur is 79.78%, which is close to the predicted value and
the regression effect is good.