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We hereby report the design and implementation of an Autonomous Microbial Cell Culture and Classification AMC 3 system for rapid detection of food pathogens. Traditional food testing methods require multistep procedures and long incubation period, and are thus prone to human error. Once the cultured materials are prepared, all operations are automatic. AMC 3 is an integrated sensor array platform in a microbial fuel cell system composed of a multi-potentiostat, an automated data collection system Python program, Yocto Maxi-coupler electromechanical relay module and a powerful classification program.
Then, using preset feature extractions and quality control, accepted data are analyzed by the intelligent classification system.
In a typical use, thirty-two extracted features were analyzed to correctly classify the following pathogens: The article was received on 21 Decaccepted on 15 Jan and first published on 15 Jan If you are not the author of this article and you wish to reproduce material from it in a third party non-RSC publication you must formally request permission using RightsLink.
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