Magnetophoretic force and homogeneity optimization in multiplexed magnetic tweezers for microrheometry applications
Identificadores
URI: https://hdl.handle.net/10481/88408Metadatos
Afficher la notice complèteAuteur
Rodríguez Barroso, Alejandro; Camacho Villar, Guillermo; Martínez-Cano, Óscar; Morillas Medina, José Rafael; De Vicente Álvarez-Manzaneda, JuanEditorial
Elsevier
Materia
Magnetic tweezers Microrheology Finite element magnetostatics simulations Magnetic particles Magnetic colloids
Date
2023-09-22Referencia bibliográfica
Rodriguez-Barroso, A., Camacho, G., Martinez-Cano, O., Morillas, J. R., & de Vicente, J. (2023). Magnetophoretic force and homogeneity optimization in multiplexed magnetic tweezers for microrheometry applications. Measurement, 222, 113552.
Patrocinador
This work was supported by MICINN PID2019-104883GB-I00 project, Junta de Andalucía P18-FR-2465 and A-FQM-396-UGR20 projects and European Regional Development Fund (ERDF). A.R.B. acknowledges Juan de la Cierva FJC2021-047021-I. G.C. acknowledges FPU20/04357 fellowship. J.R.M. acknowledges European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie Grant (EFST)-2020-MSCA-IF-2020 (Grant 101030666).Résumé
In order to generate homogeneous magnetophoretic forces, current magnetic tweezer devices operate placing electromagnetic inductors far enough from the sample. Consequently, high-power supplies are needed to reach sufficiently large forces. We demonstrate that both magnetophoretic force magnitude and homogeneity can be increased at will in this kind of devices by simply placing appropriate magnetic materials between the inductors and the sample. Choice of these material shape and location is made upon an extensive optimization process performed with finite element method simulations. Optimal configuration is shown to create large and homogeneous magnetophoretic forces over areas extensive enough to perform multiplexed microrheology tests with different values of force and pulse duration. A good correspondence is obtained between the experiment and the results from the simulations.