Evaluation of a scanner-assisted colorimetric MIC method for susceptibility testing of gram-negative fermentative bacteria.
We describe the ScanMIC method, a colorimetric MIC method for susceptibility testing of gram-negative fermentative bacteria. The method is a slight modification of the National Committee for Clinical Laboratory Standards (NCCLS) recommended broth microdilution method that uses a redox indicator 2,3,5-triphenyltetrazolium chloride (TTC) to enhance the estimate of bacterial growth inhibition in a microplate and a flatbed scanner to capture the microplate image. In-house software was developed to transform the microplate image into numerical values based on the amount of bacterial growth and to generate the MICs automatically. The choice of indicator was based on its low toxicity and ease of reading by scanner. We compared the ScanMIC method to the NCCLS recommended broth microdilution method with 197 coliform strains against seven antibacterial agents. The interpretative categorical agreement was obtained in 92.4% of the assays, and the agreement for MIC differences (within +/-1 log(2) dilution) was obtained in 96% for ScanMIC versus broth microdilution and 97% for a two-step incubation colorimetric broth microdilution versus the broth microdilution method. The method was found to be labor-saving, not to require any initial investment, and to show reliable results. Thus, the ScanMIC method could be useful for epidemiological surveys that include susceptibility testing of bacteria.
Rahman
Mokhlasur
M
Microbiology and Tumor Biology Center, Karolinska Institutet, S-171 77 Stockholm, Sweden. mokhlasur.rahman@mtc.ki.se
Kühn
Inger
I
Rahman
Motiur
M
Olsson-Liljequist
Barbro
B
Möllby
Roland
R
D002151:Calorimetry / Q000379:methods* / Q000706:statistics & numerical data; D024901:Drug Resistance, Multiple, Bacterial; D004755:Enterobacteriaceae / Q000187:drug effects / Q000254:growth & development / Q000378:metabolism; D005285:Fermentation; D006090:Gram-Negative Bacteria / Q000187:drug effects* / Q000254:growth & development / Q000378:metabolism; D008826:Microbial Sensitivity Tests / Q000379:methods* / Q000706:statistics & numerical data