Disposable all-printed electronic biosensor for instantaneous detection and classification of pathogens

• Published in: Scientific reports Vol. 8; no. 1; pp. 5920 - 11
• Main Authors: Ali, Shawkat, Hassan, Arshad, Hassan, Gul, Eun, Chang-Ho, Bae, Jinho, Lee, Chong Hyun, Kim, In-Jung
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 12.04.2018; Nature Publishing Group
• Subjects: 631/1647/1888; 639/166/985; 639/301/1005/1009; 9/10; Bacteria; Biosensors; Classification; E coli; Electrodes; Humanities and Social Sciences; Impedance; multidisciplinary; Nanotechnology; Neural networks; Pathogens; Pattern recognition; Polyamides; Polyethylene; Polyethylene terephthalate; Science; Science (multidisciplinary); Teeth
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-018-24208-2

A novel disposable all-printed electronic biosensor is proposed for a fast detection and classification of bacteria. This biosensor is applied to classify three types of popular pathogens: Salmonella typhimurium, and the Escherichia coli strains JM109 and DH5-α. The proposed sensor consists of inter-digital silver electrodes fabricated through an inkjet material printer and silver nanowires uniformly decorated on the electrodes through the electrohydrodynamic technique on a polyamide based polyethylene terephthalate substrate. The best sensitivity of the proposed sensor is achieved at 200 µm teeth spaces of the inter-digital electrodes along the density of the silver nanowires at 30 × 10 3 /mm 2 . The biosensor operates on ±2.5 V and gives the impedance value against each bacteria type in 8 min after sample injection. The sample data are measured through an impedance analyzer and analyzed through pattern recognition methods such as linear discriminate analysis, maximum likelihood, and back propagation artificial neural network to classify each type of bacteria. A perfect classification and cross-validation is achieved by using the unique fingerprints extracted from the proposed biosensor through all the applied classifiers. The overall experimental results demonstrate that the proposed disposable all-printed biosensor is applicable for the rapid detection and classification of pathogens.