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Electro-addressable conductive alginate hydrogel for bacterial trapping and general toxicity determination

AuthorsVigués, Núria; Pujol-Vila, Ferran; Márquez, Augusto; Muñoz Berbel, Xavier; Mas, Jordi
KeywordsAlginate electrodeposition
Toxicity assessment
Microbial sensor
Conductive hydrogels
Amperometric biosensor
Bacterial entrapment
Issue Date7-Dec-2018
CitationAnalytica Chimica Acta, V. 1036, 2018, Pages 115-120
AbstractIn biosensors development, alginate hydrogels are a first choice for enabling stable biomolecules entrapment in biocompatible membranes obtained under soft physiological conditions. Although widely exploited, most alginate membranes are isolating and poorly repetitive, which limit their application in biosensing. Significant steps forward on improving repeatability and conductivity have been performed, but to date there is no single protocol for controlled deposition of live cells in replicable conductive alginate layers. Here, cell electrotrapping in conductive alginate hydrogels is examined in order to overcome these limitations. Conductive alginate-coated electrodes are obtained after potentiostatic electrodeposition of graphite-doped alginate samples (up to 4% graphite). The presence of graphite reduces electrode passivation and improves the electrochemical response of the sensor, although still significantly lower than that recorded with the naked electrode. Bacterial electrotrapping in the conductive matrix is highly efficient (4.4 × 10 7 cells per gel) and repetitive (CV < 0.5%), and does not compromise bacterial integrity or activity (cell viability = 56%). Biosensing based on ferricyanide respirometry yielded a four times increase in biosensor response with respect to non-conductive alginate membrane, providing toxicity values completely comparable to those reported. Cell electrotrapping in conductive hydrogels represents a step forward towards in high-sensitive cell-based biosensors development with important influence in environmental analysis, food and beverage industry as well as clinical diagnosis.
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