Development of Bacilli ID system for Bacillus species identification in VRI
- Post by: bpi
- October 22, 2021
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Roseliza Roslee. Development of Bacilli ID system for Bacillus species identification in VRI. 30th Veterinary Association of Malaysia (VAM) Congress. 19th-20th October, 2018. Hilton Hotel, Petaling Jaya, Malaysia.(Abstract of e-Poster Presentation).
Roseliza Roslee Veterinary Research Institute, Department of Veterinary Services, 59, Jalan Sultan Azlan Shah, 31400 Ipoh, Perak, Malaysia Corresponding author: firstname.lastname@example.org
This paper reports on the development of Bacilli ID system, which is a formulated spreadsheet in Microsoft Excel to assist in Bacillus species identification. In VRI Bacteriology Laboratory, we received about 25,000 samples annually for bacterial isolation and identification tests. Under the genus Bacillus, there are 24 different species and require 14 different conventional biochemical tests to differentiate them by referring to Cowan and Steel’s manual for the identification of medical bacteria. Previously, identification of the species was done by using repeated pencil marking on a printed copy of Bacillus spp. differentiation table. This manual way of working is troublesome, time-consuming, and most certainly have a higher probability of human error in data entry. Thus, an innovation idea came into place, which is to translate the paper-based differentiation table into Microsoft Office Excel. Biochemical tests results were keyed into the system, and the system will generate the highest matching score automatically to give the highest similarity of Bacillus species. This identification system was named as Bacilli ID and have been used in VRI Bacteriology Laboratory since the year 2017. Bacilli ID had shortened the time needed to identify the Bacillus spp. with a minimum human error. This system is also useful for less experienced staff as they might not be familiar with the complexity of the manual differentiation table. Last but not least, the Bacillus spp. biochemical characteristic database can be set up and maintained in a systematic database for analysis in future research work.