Anthocyanin-Incorporated Chromogenic Agar for Rapid, Selective Detection of <i>Streptococcus pneumoniae</i> via Hydrogen Peroxide-Mediated Oxidation
The rapid and cost-effective identification of <i>Streptococcus pneumoniae</i> (<i>S. pneumoniae</i>) is crucial for the prompt treatment of pneumonia and meningitis. However, conventional culture methods are time-consuming and molecular techniques are prohibitively expensive in resource-limited settings. To address this challenge, we developed a novel anthocyanin chromogenic agar as a diagnostic tool for the selective and rapid detection of <i>S. pneumoniae</i>. Unlike traditional pH-based indicators, this method exploits the unique oxidative capability of <i>S. pneumoniae</i>, which releases excessive amounts of hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>). This results in the oxidative degradation of the blue anthocyanin pigment to a colorless form, creating distinct gray zones. The detection efficiency was evaluated as a function of bacterial concentration and incubation time. Upon inoculation at concentrations ranging from 1 to 1000 CFU/mL, color changes were monitored visually over 24 h. Notably, an inoculum of 1000 CFU/mL produced visible gray spots within just 7 h of incubation. The anthocyanin chromogenic agar demonstrated high selectivity against common coexisting pathogens, which caused a pH-dependent color change from blue to pink, whereas only <i>S. pneumoniae</i> induced the specific gray signal. Furthermore, colorimetric results were analyzed using digital image processing for objective detection and differentiation. In conclusion, anthocyanin chromogenic agar presents a clinically applicable alternative that significantly reduces both incubation time and cost compared to other chromogenic agars. While the standardization of natural anthocyanin stability remains a consideration for commercial upscaling, this method offers a promising perspective for decentralized testing in resource-limited settings.
Authors
- İsmail Öçsoy (ORCID: https://orcid.org/0000-0002-5991-3934)
- Nilay Ildız (ORCID: https://orcid.org/0000-0002-3799-856X)
- Nimet Temur (ORCID: https://orcid.org/0000-0002-1882-2315)
- Cagla Celik Yoldas
- Pinar Sagiroglu
- Mustafa Altay Atalay
Institutions
- Bandırma Onyedi Eylül University (TR)
- Czech Academy of Sciences, Institute of Analytical Chemistry (CZ)
- Harran University (TR)
- Erciyes University (TR)
Publication Details
- Journal
- ACS Omega
- Published
- 2026-03-02
- DOI
- https://doi.org/10.1021/acsomega.5c13596
- Primary Topic
- Biosensors and Analytical Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00