High-Performance Implantable Sensors based on Anisotropic Magnetoresistive La 0.67 Sr 0.33 MnO 3 for Biomedical Applications - Archive ouverte HAL
Article Dans Une Revue ACS Biomaterials Science and Engineering Année : 2023

High-Performance Implantable Sensors based on Anisotropic Magnetoresistive La 0.67 Sr 0.33 MnO 3 for Biomedical Applications

Anja Meier
  • Fonction : Auteur
Carmen Huck
  • Fonction : Auteur

Résumé

We present the design, fabrication, and characterization of an implantable neural interface based on anisotropic magnetoresistive (AMR) magnetic-field sensors that combine reduced size and high performance at body temperature. The sensors are based on La 0.67 Sr 0.33 MnO 3 (LSMO) as a ferromagnetic material, whose epitaxial growth has been suitably engineered to get uniaxial anisotropy and large AMR output together with low noise even at low frequencies. The performance of LSMO sensors of different film thickness and at different temperatures close to 37 °C has to be explored to find an optimum sensitivity of ∼400%/T (with typical detectivity values of 2 nT•Hz −1/2 at a frequency of 1 Hz and 0.3 nT•Hz −1/2 at 1 kHz), fitted for the detection of low magnetic signals coming from neural activity. Biocompatibility tests of devices consisting of submillimeter-size LSMO sensors coated by a thin poly(dimethyl siloxane) polymeric layer, both in vitro and in vivo, support their high suitability as implantable detectors of low-frequency biological magnetic signals emerging from heterogeneous electrically active tissues.
Fichier principal
Vignette du fichier
2023_ACS_Biomaterials_Science&Engineering_Vera.pdf (4.16 Mo) Télécharger le fichier
Origine Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-04108030 , version 1 (26-05-2023)

Identifiants

Citer

Arturo Vera, Isidoro Martínez, Luiz Guilherme Enger, Bruno Guillet, Rubén Guerrero, et al.. High-Performance Implantable Sensors based on Anisotropic Magnetoresistive La 0.67 Sr 0.33 MnO 3 for Biomedical Applications. ACS Biomaterials Science and Engineering, 2023, 9 (2), pp.1020-1029. ⟨10.1021/acsbiomaterials.2c01147⟩. ⟨hal-04108030⟩
114 Consultations
33 Téléchargements

Altmetric

Partager

More