Colorimetric Ready-to-Use Microfluidic Chips for Rapid Antibiotic Susceptibility Testing of Methicillin-Resistant Staphylococcus aureus by a Smartphone-Based Analysis
Yazarlar (8)
Dr. Öğr. Üyesi Cagla Celik Yoldas Harran Üniversitesi, Türkiye
Prof. Dr. Nilay Ildiz Bandırma Onyedi Eylül University, Türkiye
Arş. Gör. Naim Yagiz Demir Middle East Technical University (Metu), Türkiye
Prof. Dr. Memed Duman Hacettepe Üniversitesi, Türkiye
Arş. Gör. Erhan Yoldas Harran Üniversitesi, Türkiye
Dr. Öğr. Üyesi Sadık KÜÇÜKGÜNAY Kırşehir Ahi Evran Üniversitesi, Türkiye
Prof. Dr. Kadir Erol Hitit University, Türkiye
Prof. Dr. Ismail Ocsoy Erciyes Üniversitesi, Türkiye
Makale Türü Açık Erişim Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı ACS Omega (Q2)
Dergi ISSN 2470-1343 Dergi Bilgileri (2026)
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili Türkçe Basım Tarihi 03-2026
Cilt / Sayı / Sayfa 11 / 11 / 18144–18154 DOI 10.1021/acsomega.5c13266
Makale Linki https://doi.org/10.1021/acsomega.5c13266
UAK Araştırma Alanları
Sağlık Bilimleri
Özet
Many phenotypic resistance tests have been developed for Methicillin-resistant Staphylococcus aureus (MRSA), but they still have disadvantages such as long incubation times, complicated procedure and a lack of portability. Herein, we designed ready-to-use microfluidic chips to use more advanced and new methods for analyzing antibiotic resistance specifically for the rapid detection of MRSA. Anthocyanin molecules, which change color depending on the pH value of the reaction medium in the microfluidic chip wells, are utilized as pH indicator in the test. The color change in the wells depends on the inhibition of antibiotic-resistant or susceptible bacteria at varying cefoxitin doses. The antibiotic resistance profiles of MRSA to multiple doses were revealed on a single chip. The obtained colorimetric responses were analyzed using a mobile application and color image processing techniques. The feasibility of the system was demonstrated using standard reference strains (S. aureus ATCC 43300 and ATCC 25923). Thus, this proof-of-concept study shows that antibiotic resistance detection can be performed in a few hours with minimal device requirements, warranting further validation with clinical isolates.
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