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Review paper

Development of a novel biofilm classification tool and comparative analysis of result interpretation methodologies for the evaluation of biofilm forming capacity of bacteria using tissue culture plate method

By
Monia Avdić Orcid logo ,
Monia Avdić
Contact Monia Avdić

International Burch University , Sarajevo , Bosnia and Herzegovina

Nermin Džuzić ,
Nermin Džuzić

International Burch University , Sarajevo , Bosnia and Herzegovina

Osman Hasanić ,
Osman Hasanić

International Burch University , Sarajevo , Bosnia and Herzegovina

Amel Spahić ,
Amel Spahić

Mistral Technologies , Sarajevo , Bosnia and Herzegovina

Lejla Smajlović Skenderagić ,
Lejla Smajlović Skenderagić

International Burch University , Sarajevo , Bosnia and Herzegovina

Almir Badnjević ,
Almir Badnjević

International Burch University , Sarajevo , Bosnia and Herzegovina

Verlab Ltd. , Sarajevo , Bosnia and Herzegovina

Mirsada Hukić
Mirsada Hukić

Institute for Biomedical Diagnostics and Research NALAZ , Sarajevo , Bosnia and Herzegovina

Academy of Sciences and Arts of Bosnia and Herzegovina , Sarajevo , Bosnia and Herzegovina

Abstract

Aim
To develop an online biofilm calculation tool (Biofilm Classifier), which calculates the optical density cut off value and accordingly determines the biofilm forming categories for the tested isolates by standardized formulas, as well as to compare the results obtained by Biofilm Classifier to manual calculations and the use of predefined values.
Methods
The biofilm forming capacity of tested strains was evaluated using tissue culture plate method in 96 well plates, and optical density (OD) value of the formed biofilm was measured on an ELISA Microplate reader at 595 nm on a total of 551 bacterial isolates from clinical specimen.
Results
Comparative analysis indicated that the manual calculation was 100% in accordance with results obtained by the designed software as opposed to the results obtained by use of predefined values for biofilm categorization. When using predefined values compared to manual biofilm categorization for the determination of biofilm positive and biofilm negative strains the specificity was 100%, sensitivity 97.81%, positive predictive value 100%, negative predictive value 96.04% and accuracy 98.57%.
Conclusion
Considering obtained results, the use of the designed online calculator would simplify the interpretation of biofilm forming capacity of bacteria using tissue culture plate method.

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