Fully Automated System for Rapid Enrichment and Precise Detection of Enterobacteria Using Magneto-Electrochemical Impedance Measurements
| Autor: | Hogyeong Gwak, Hyo Il Jung, Taehee Yoon, Kirok Kwon, Kyung A. Hyun, Kyungyeon Lee |
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| Rok vydání: | 2021 |
| Předmět: |
Detection limit
Salmonella Chromatography Food poisoning biology Chemistry 010401 analytical chemistry Biomedical Engineering Bioengineering Pathogenic bacteria 02 engineering and technology Contamination 021001 nanoscience & nanotechnology medicine.disease_cause medicine.disease biology.organism_classification 01 natural sciences 0104 chemical sciences medicine Electrical and Electronic Engineering 0210 nano-technology Electrical impedance Escherichia coli Bacteria Biotechnology |
| Zdroj: | BioChip Journal. 15:233-242 |
| ISSN: | 2092-7843 1976-0280 |
| DOI: | 10.1007/s13206-021-00024-1 |
| Popis: | The contamination of food and drinking water by bacteria that cause food poisoning is a critical public health issue. In general, the procedures for testing the presence of pathogenic bacteria in public is not very effective, because it is time consuming and does not facilitate real-time monitoring in a field setting. Therefore, this study introduced a fully automated platform that would allow non-experts to easily examine the major food poisoning bacteria in a field setting, from pretreatment samples to final detection. Two enterobacteria species, of four different bacteria species (i.e., Escherichia coli and Salmonella typhimurium) were successfully immobilized on the surface of magnetic beads by exploiting the specific binding force with mannose. Subsequently, magneto-electrochemical impedance measurement technology allowed bacterial detection with a high sensitivity. E. coli, typical enterobacteria, was detected in 25 min with a detection limit of 100 CFU/mL. Moreover, we demonstrated that the automatic performance and the experimental consistency was greatly improved in comparison with those of manually conducted experiments. |
| Databáze: | OpenAIRE |
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