Optimization of Experimental Settings for the Assessment of Reactive Oxygen Species Production by Human Blood

Author:

Soares Tânia1,Rodrigues Daniela1,Sarraguça Mafalda1,Rocha Sílvia1,Lima José L. F. C.1,Ribeiro Daniela1,Fernandes Eduarda1ORCID,Freitas Marisa1ORCID

Affiliation:

1. LAQV, REQUIMTE, Laboratory of Applied Chemistry, Department of Chemical Sciences, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal

Abstract

The purpose of an experimental design is to improve the productivity of experimentation. It is an efficient procedure for planning experiments, so the data obtained can be analyzed to yield a valid and objective conclusion. This approach has been used as an important tool in the optimization of different analytical approaches. A D-optimal experimental design was used here, for the first time, to optimize the experimental conditions for the detection of reactive oxygen species (ROS) produced by human blood from healthy donors, a biological matrix that better resembles the physiologic environment, following stimulation by a potent inflammatory mediator, phorbol-12-myristate-13-acetate (PMA). For that purpose, different fluorescent probes were used, as 2,7-dichlorodihydrofluorescein diacetate (DCFH-DA), 2-[6-(4-amino)-phenoxy-3H-xanthen-3-on-9-yl] benzoic acid (APF), and 10-acetyl-3,7-dihydroxyphenoxazine (amplex red). The variables tested were the human blood dilution, and the fluorescent probe and PMA concentrations. The experiments were evaluated using the Response Surface Methodology and the method was validated using specific compounds. This model allowed the search for optimal conditions for a set of responses simultaneously, enabling, from a small number of experiments, the evaluation of the interaction between the variables under study. Moreover, a cellular model was implemented and optimized to detect the production of ROS using a yet nonexplored matrix, which is human blood.

Funder

European Regional Development Fund

Publisher

Hindawi Limited

Subject

Cell Biology,Ageing,General Medicine,Biochemistry

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