An artificial neural network (ANN) was trained to distinguish between and with averaged pyrolysis mass spectra from duplicate subcultures of four strains of each of these species, each pyrolysed in triplicate. Once trained, the ANN was interrogated with spectrum data from the original organisms (the“training set”) and from 26 other mycobacterial isolates (the“challenge set”) of the complex (MTBC). Eight strains of and 13 of , whether sensitive or variously resistant to antituberculosis drugs, were identified in agreement with conventional identification. Four strains of“” were identified as . Of two atypical strains from South India, one was identified as and the other as . Six strains of BCG proved heterogeneous; two gave equivocal identifications, three were identified as and one was identified as .


Article metrics loading...

Loading full text...

Full text loading...


Most cited this month Most Cited RSS feed

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error