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Detection of Listeria monocytogenes in foods with a textile organic electrochemical transistor biosensor

Lookup NU author(s): Dr Emanuela Torelli



This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


© 2023, The Author(s).Abstract: Foods contaminated by pathogens are responsible for foodborne diseases which have socioeconomic impacts. Many approaches have been extensively investigated to obtain specific and sensitive methods to detect pathogens in food, but they are often not easy to perform and require trained personnel. This work aims to propose a textile organic electrochemical transistor-based (OECT) biosensor to detect L. monocytogenes in food samples. The analyses were performed with culture-based methods, Listeria Precis™ method, PCR, and our textile OECT biosensor which used poly(3,4-ethylenedioxythiophene) (PEDOT):polystyrene sulfonate (PSS) (PEDOT:PSS) for doping the organic channel. Atomic force microscopy (AFM) was used to obtain topographic maps of the gold gate. The electrochemical activity on gate electrodes was measured and related to the concentration of DNA extracted from samples and hybridized to the specific capture probe immobilized onto the gold surface of the gate. This assay reached a limit of detection of 1.05 ng/μL, corresponding to 0.56 pM of L. monocytogenes ATCC 7644, and allowed the specific and rapid detection of L. monocytogenes in the analyzed samples. Keypoints: • Textile organic electrochemical transistors functionalized with a specific DNA probe • AFM topographic and surface potential maps of a functionalized gold gate surface • Comparison between the Listeria monocytogenes Precis™ method and an OECT biosensor

Publication metadata

Author(s): Vizzini P, Beltrame E, Coppede N, Vurro F, Andreatta F, Torelli E, Manzano M

Publication type: Article

Publication status: Published

Journal: Applied Microbiology and Biotechnology

Year: 2023

Volume: 107

Issue: 11

Pages: 3789-3800

Print publication date: 01/06/2023

Online publication date: 05/05/2023

Acceptance date: 16/04/2023

Date deposited: 22/05/2023

ISSN (print): 0175-7598

ISSN (electronic): 1432-0614

Publisher: Springer Science and Business Media Deutschland GmbH


DOI: 10.1007/s00253-023-12543-y

PubMed id: 37145160


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