Growth-based impedometric analysis, applied to food microbiology, is a rapid method that enables the indirect tracing of microorganisms by measuring, during time, the changes of electrical conductivity in a matrix in which they grow. This method has been used over the years, to replace the conventional plate count method, to selectively detect the main food-borne diseases and spoilage bacteria. A new metabolic interpretation of the impedance data is the most promising application of this approach. In this review, the advantages of using this technique are discussed, together with the most interesting latest developments that involve the integration with biosensor technology. This method allows the detection of specific bacteria cells, based on their electrical properties, avoiding the culturing step and achieving results in a very short time.

Impedometric analysis applied to food microbiology / Bancalari, E.; Neviani, E.; Gatti, M.. - In: CURRENT OPINION IN FOOD SCIENCE. - ISSN 2214-7993. - 57:(2024). [10.1016/j.cofs.2024.101152]

Impedometric analysis applied to food microbiology

Bancalari E.;Neviani E.;Gatti M.
2024-01-01

Abstract

Growth-based impedometric analysis, applied to food microbiology, is a rapid method that enables the indirect tracing of microorganisms by measuring, during time, the changes of electrical conductivity in a matrix in which they grow. This method has been used over the years, to replace the conventional plate count method, to selectively detect the main food-borne diseases and spoilage bacteria. A new metabolic interpretation of the impedance data is the most promising application of this approach. In this review, the advantages of using this technique are discussed, together with the most interesting latest developments that involve the integration with biosensor technology. This method allows the detection of specific bacteria cells, based on their electrical properties, avoiding the culturing step and achieving results in a very short time.
2024
Impedometric analysis applied to food microbiology / Bancalari, E.; Neviani, E.; Gatti, M.. - In: CURRENT OPINION IN FOOD SCIENCE. - ISSN 2214-7993. - 57:(2024). [10.1016/j.cofs.2024.101152]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2980394
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