<abstract xmlns="http://www.w3.org/1999/xhtml"><p><italic>Acinetobacter</italic> species, particularly those within <italic>Acinetobacter calcoaceticus–A. baumannii</italic> complex (ACB complex), have emerged as clinically relevant pathogens in hospital environments worldwide. Early and quick detection and identification of <italic>Acinetobacter</italic> infections is challenging, and traditional culture and biochemical methods may not achieve adequate levels of speciation. Moreover, currently available techniques to identify and differentiate closely related <italic>Acinetobacter</italic> species are insufficient. The objective of this review is to recapitulate the current evolution in phenotypic and automated techniques used to identify the ACB complex. Compared with other automated or semiautomated systems of bacterial identification, matrix-assisted laser desorption–ionization time-of-flight mass spectrometry (MALDI-TOF MS) demonstrates a high level of <italic>Acinetobacter</italic> species identification and discrimination, including newly discovered species <italic>A. seifertii</italic> and <italic>A. dijkshoorniae</italic>.</p></abstract>

Acinetobacter species, particularly those within Acinetobacter calcoaceticus–A. baumannii complex (ACB complex), have emerged as clinically relevant pathogens in hospital environments worldwide. Early and quick detection and identification of Acinetobacter infections is challenging, and traditional culture and biochemical methods may not achieve adequate levels of speciation. Moreover, currently available techniques to identify and differentiate closely related Acinetobacter species are insufficient. The objective of this review is to recapitulate the current evolution in phenotypic and automated techniques used to identify the ACB complex. Compared with other automated or semiautomated systems of bacterial identification, matrix-assisted laser desorption–ionization time-of-flight mass spectrometry (MALDI-TOF MS) demonstrates a high level of Acinetobacter species identification and discrimination, including newly discovered species A. seifertii and A. dijkshoorniae.

Advances in automated techniques to identify <italic>Acinetobacter calcoaceticus–Acinetobacter baumannii</italic> complex

Department of Medical Microbiology and Parasitology, School of Medical Sciences, Health Campus

Asian Biomedicine

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Advances in automated techniques to identify  complex

Acinetobacter species, particularly those within Acinetobacter calcoaceticus–A. baumannii complex (ACB complex), have emerged as clinically relevant pathogens...

Advances in automated techniques to identify Acinetobacter calcoaceticus–Acinetobacter baumannii complex

Article Category: Review

Online veröffentlicht: 31. Okt. 2020

Seitenbereich: 177 - 186

DOI: https://doi.org/10.1515/abm-2020-0026

Schlüsselwörter
automation, laboratory, bacterial typing techniques, bacteriological techniques, spectrometry, mass, matrix-assisted laser desorption-ionization

© 2020 Ahmad Ibrahim Bagudo et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Advances in automated techniques to identify Acinetobacter calcoaceticus–Acinetobacter baumannii complex

Article Category: Review

Online veröffentlicht: 31. Okt. 2020

Seitenbereich: 177 - 186

DOI: https://doi.org/10.1515/abm-2020-0026

Schlüsselwörterautomation, laboratory, bacterial typing techniques, bacteriological techniques, spectrometry, mass, matrix-assisted laser desorption-ionization

© 2020 Ahmad Ibrahim Bagudo et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
automation, laboratory, bacterial typing techniques, bacteriological techniques, spectrometry, mass, matrix-assisted laser desorption-ionization