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Imaging Approaches to Assessments of Toxicological Oxidative Stress Using Genetically-encoded Fluorogenic Sensors
Published on: February 7, 2018
Oxidative stress on-chip: Prussian blue-based electrode array for in situ detection of H2O2 from cell populations
Daniel Rojas1, Juan F Hernández-Rodríguez2, Flavio Della Pelle3
1Department of Analytical Chemistry, Physical Chemistry and Chemical Engineering, Faculty of Sciences University of Alcalá, E-28871, Alcalá de Henares, Madrid, Spain; Faculty of Bioscience and Technology for Food, Agriculture and Environment University of Teramo, 64023, Teramo, Italy.
Abstract:
A Prussian blue-based electrode array (PBEA) constituted by eight stencil-printed electrodes on a flexible PET (polyethylene terephthalate) substrate is proposed for in-situ HeLa cell culturing and real-time detection of the released H2O2. The array was suitably interfaced with a poly- (methyl methacrylate) (PMMA) well-containing holders resulting in a low cost multichambered chip. PBEA fabrication was carried out employing a xurography-based cost-effective benchtop microfabrication technology using just a desktop cutting plotter and office grade thermal-laminator. The hydrophobicity of the PET isolating layer allows to constrain cell-containing drops directly on top of the electrochemical cells. HeLa cells growth in the very close vicinity of the working electrode ensures in-situ cell seeding, incubation, and further electrochemical detection of the H2O2 released, enabling high-throughput analysis. Selective and sensitive electrochemical sensing of hydrogen peroxide was carried out at -100 mV vs Ag|AgCl; the resulting LOD was 1.9 μM. Remarkably, the analytical exploitability of the approach was demonstrated by detection of the hydrogen peroxide released from HeLa cells stimulated with N-Formyl-L-methionyl-L-leucyl-L-phenylalanine (fMLP) and after pretreatment of the cells with cocoa polyphenols, that induced a decreased oxidative stress levels. These data make our approach a promising tool for oxidative stress evaluation in cell cultures and biological systems.

