Abstract
In recent years, antibiotic-resistant bacteria caused by antibiotic abuse in the medical industry have become a new environmental pollutant that endangers public health. Therefore, it is necessary to establish a detection method for evaluating drug-resistant bacteria. In this work, we used Escherichia coli as a target model and proposed a method to evaluate its drug resistance for three antibiotics. Graphene dispersion was used to co-mix with E. coli cells for the purpose of increasing the current signal. This electrochemical-based sensor allows the evaluation of the activity of E. coli on the electrode surface. When antibiotics were present, the electrocatalytic reduction signal was diminished because of the reduced activity of E. coli. Based on the difference in the electrochemical reduction signal, we can evaluate the antibiotic resistance of different E. coli strains.
Highlights
Antibiotics are secondary metabolites that can interfere with cell growth and development (Simioni et al, 2017; Wang M. et al, 2019)
We performed cyclic voltammetry (CV) tests only × 107 colony forming units (CFU) E coli with directly coated on the glassy carbon electrode (GCE) surface (Figure 1)
With the assistance of graphene, it became possible to evaluate the antibiotic resistance of E. coli cells from its electrochemical behavior
Summary
Antibiotics are secondary metabolites that can interfere with cell growth and development (Simioni et al, 2017; Wang M. et al, 2019). Penicillin played an important role in World War II and was very effective in controlling bacterial infections (Alsaiari et al, 2021). The harm of antibiotics to the human body should not be underestimated. Furacilin enters the human body through food and may cause cancer with long-term consumption (Hu et al, 2010). The commonly used sulfonamide antibiotic sulfadimethoxine has tumorigenic effects (Zhuang et al, 2019). According to the classification of chemical structure, antibiotics can be roughly divided into quinolone antibiotics, sulfonamide antibiotics, chloramphenicol antibiotics, aminoglycoside antibiotics, beta-lactam antibiotics and tetracycline antibiotics (Sharaha et al, 2017)
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