Real-Time Monitoring of Cell Adhesion onto a Soft Substrate by a Graphene Impedance Biosensor.

AFM PDMS biosensing cell sensor electrochemical graphene impedance kinetics

Journal

ACS sensors
ISSN: 2379-3694
Titre abrégé: ACS Sens
Pays: United States
ID NLM: 101669031

Informations de publication

Date de publication:
23 Dec 2023
Historique:
medline: 23 12 2023
pubmed: 23 12 2023
entrez: 23 12 2023
Statut: aheadofprint

Résumé

Soft substrates are interesting for many applications, ranging from mimicking the cellular microenvironment to implants. Conductive electrodes on such substrates allow the realization of flexible, elastic, and transparent sensors. Single-layer graphene as a candidate for such electrodes brings the advantage that the active area of the sensor is transparent and conformal to the underlying substrate. Here, we overcome several challenges facing the routine realization of graphene cell sensors on a canonical soft substrate, namely, poly(dimethylsiloxane) (PDMS). We have systematically studied the effect of surface energy before, during, and after the transfer of graphene. Thus, we have identified a suitable support polymer, optimal substrate (pre)treatment, and an appropriate solvent for the removal of the support. Using this procedure, we can reproducibly obtain stable and intact graphene sensors on a millimeter scale on PDMS, which can withstand continuous measurements in cell culture media for several days. From local nanomechanical measurements, we infer that the softness of the substrate is slightly affected after the graphene transfer. However, we can modulate the stiffness using PDMS with differing compositions. Finally, we show that graphene sensors on PDMS can be successfully used as soft electrodes for real-time monitoring of the cell adhesion kinetics. The routine availability of single-layer graphene electrodes on a soft substrate with tunable stiffness will open a new avenue for studies, where the PDMS-liquid interface is made conducting with minimal alteration of the intrinsic material properties such as softness, flexibility, elasticity, and transparency.

Identifiants

pubmed: 38141037
doi: 10.1021/acssensors.3c01705
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Victoria Guglielmotti (V)

Department of Chemistry, School of Analytical Sciences Adlershof (SALSA) & IRIS Adlershof, Humboldt-Universität zu Berlin, Berlin 10099, Germany.
Instituto de Nanosistemas, Universidad Nacional de General San Martín, San Martín 1650, Provincia de Buenos Aires, Argentina.

Emil Fuhry (E)

Department of Chemistry, School of Analytical Sciences Adlershof (SALSA) & IRIS Adlershof, Humboldt-Universität zu Berlin, Berlin 10099, Germany.

Tilmann J Neubert (TJ)

Department of Chemistry, School of Analytical Sciences Adlershof (SALSA) & IRIS Adlershof, Humboldt-Universität zu Berlin, Berlin 10099, Germany.

Michel Kuhl (M)

Department of Chemistry, School of Analytical Sciences Adlershof (SALSA) & IRIS Adlershof, Humboldt-Universität zu Berlin, Berlin 10099, Germany.

Diego Pallarola (D)

Instituto de Nanosistemas, Universidad Nacional de General San Martín, San Martín 1650, Provincia de Buenos Aires, Argentina.

Kannan Balasubramanian (K)

Department of Chemistry, School of Analytical Sciences Adlershof (SALSA) & IRIS Adlershof, Humboldt-Universität zu Berlin, Berlin 10099, Germany.

Classifications MeSH