Comparison of rapid NFT and API 20E with conventional methods for identification of gram-negative nonfermentative bacilli from pharmaceuticals and cosmetics

Abstract

The accuracy of the Rapid NFT and the API 20E identification systems was evaluated by comparing them with conventional biochemical methods for the identification of gram-negative, nonfermentative bacilli. The organisms were recovered from preserved, nonsterile pharmaceutical and cosmetic products. A total of 123 test isolates that are commonly encountered in these products were used. By using the criteria of accurate and reliable identification without employing additional tests, Rapid NFT was found to be more accurate after 48 h of incubation than API 20E for characterizing isolates to the species level. Therefore, close agreement between NFT and conventional methods for identification of industrial gram-negative isolates provides evidence that the Rapid NFT system is an improved and rapid method for identifying these organisms to the species level with minimal use of supplementary tests.