Rapid and Colorimetric Detection of Carbapenem/Colistin-Resistant Bacteria by a Naked Eye and Digital Image Processing Software

Owing to the global increase in carbapenem and colistin resistance, several methods have been actively used for the detection of these antibiotic-resistant bacteria. However, this emerging field still requires development of more efficient and practical diagnostic susceptibility tests for rapid, simple, and economic detection of pathogens. Herein, we prepared phenotypic and colorimetric antibiotic susceptibility tests in liquid and agar forms consisting of a natural and biocompatible pH indicator called "anthocyanins" for colorimetric detection of carbapenem/colistin resistance. The most innovative and original part of this phenotypic test, for the first time, uses plant indicators to detect carbapenem/colistin resistance within 2 h (hrs). Both commercial and clinically isolated bacterial pathogens were colorimetrically detected by a human eye in 2 h. These pathogens release acidic volatile compounds (AVCs) during their growth, resulting in an acidic reaction environment, in which anthocyanin molecules were protonated and then change the color of the susceptibility tests. The color of the susceptibility tests was analyzed by smartphone platform and mobile application to provide quick, clear, and semiquantitative results. We believe that these susceptibility tests will reduce the workload of laboratories with their ease of application and evaluation, contribute to the economy of countries by eliminating economic restrictions, and will be widely used in clinics.

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Publication Details

Journal
Analytical Chemistry
Published
2025-05-14
DOI
https://doi.org/10.1021/acs.analchem.5c00207
Citations
5
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
3.37

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article

Rapid and Colorimetric Detection of Carbapenem/Colistin-Resistant Bacteria by a Naked Eye and Digital Image Processing Software

Memed Duman, Mustafa Atalay, İsmail Öçsoy, Nilay Ildız et al.
5 citations
Analytical Chemistry
Biosensors and Analytical Detection
3.37
article

Rapid and Colorimetric Detection of Carbapenem/Colistin-Resistant Bacteria by a Naked Eye and Digital Image Processing Software

Memed Duman, Mustafa Atalay, İsmail Öçsoy, Nilay Ildız, Naim Yağız Demir, Pınar Çeliker Sağıroğlu, Cagla Celik Yoldas
article en
5 citations

Abstract

Owing to the global increase in carbapenem and colistin resistance, several methods have been actively used for the detection of these antibiotic-resistant bacteria. However, this emerging field still requires development of more efficient and practical diagnostic susceptibility tests for rapid, simple, and economic detection of pathogens. Herein, we prepared phenotypic and colorimetric antibiotic susceptibility tests in liquid and agar forms consisting of a natural and biocompatible pH indicator called "anthocyanins" for colorimetric detection of carbapenem/colistin resistance. The most innovative and original part of this phenotypic test, for the first time, uses plant indicators to detect carbapenem/colistin resistance within 2 h (hrs). Both commercial and clinically isolated bacterial pathogens were colorimetrically detected by a human eye in 2 h. These pathogens release acidic volatile compounds (AVCs) during their growth, resulting in an acidic reaction environment, in which anthocyanin molecules were protonated and then change the color of the susceptibility tests. The color of the susceptibility tests was analyzed by smartphone platform and mobile application to provide quick, clear, and semiquantitative results. We believe that these susceptibility tests will reduce the workload of laboratories with their ease of application and evaluation, contribute to the economy of countries by eliminating economic restrictions, and will be widely used in clinics.

Analytical ChemistryVol. 97(20)
Middle East Technical University (TR), Bandırma Onyedi Eylül University (TR), Institute of Nanotechnology (GB), Institut de Ciències del Mar (ES), Czech Academy of Sciences, Institute of Analytical Chemistry (CZ), Hacettepe University (TR), Harran University (TR), Erciyes University (TR)
Bilimsel Araştırma Projeleri, Erciyes Üniversitesi
Zero hunger
Openalex Percentile: Top 8%
Biosensors and Analytical Detection
3.37
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