抗生物質投与下における大腸菌の運動性の自己相関関数による評価法 (I)

概要

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The development of rapid clinical test is one of the important problems in the diagnosis of antibiotic susceptibility for coliform bacteria. As a first step to approach that, we have been calculating the method to obtain some diagnosis parameters. The present paper tries specially to verify the validity of our fitting method to obtain the parameters from the experimental data of E. coli under application of sulbenicillin. The analysis is carried out in the following lines; (1) compute the Auto-correlation functions (SCF) of experimental data and that of Brownian model, (2) thus obtained SCF are tried to fit the theoretical SCF presented by Chen group. The fitting criterion is to see whether the minimum value of AIC (Akaike information criterion) is established, in which the theoretical one is a linear combination of SCF of Brawnian and moving particles, (3) the validity of obtained motile parameters is discussed by inspecting the change in that of Brawnian model against the change of particle form factor. We discuss preprocessing method to obtain the stable values from the fluctuated digital data, and the average method to obtain reliable SCF.
山口大学の論文