A Microfluidic Platform Based on Laser‐Induced Graphene Electrodes and Machine Learning for Real‐Time Skeletal Muscle Analysis (Adv. Mater. Technol. 7/2026)
Microfluidic Platforms In their Research Article (10.1002/admt.202501519), Eugenio Martinelli and co-workers present a precise CO2 laser beam that sculpts conductive graphene circuits directly onto polyimide tape, transforming a simple substrate into a powerful biointerface. These low-cost electrodes drive a novel muscle-on-chip system, delivering electrical impulses into cultured tissue to trigger life-like contractions, paving the way for accessible, advanced bioengineering studies.
Authors
- Arianna Mencattini (ORCID: https://orcid.org/0000-0002-3753-0457)
- Paola Casti (ORCID: https://orcid.org/0000-0001-7489-3022)
- Gianni Antonelli (ORCID: https://orcid.org/0000-0002-4658-4000)
- Eugenio Martinelli (ORCID: https://orcid.org/0000-0002-6673-2066)
- Massimo Pieri (ORCID: https://orcid.org/0000-0002-3463-0268)
- Joanna Filippi (ORCID: https://orcid.org/0000-0002-1253-972X)
- Sara Pescetelli (ORCID: https://orcid.org/0000-0002-3336-2425)
- Antonio Agresti (ORCID: https://orcid.org/0000-0001-6581-0387)
- Alessia Riccardi
- Erica Debbi
- Edoardo Cappa
- Michele D'Orazio
- G. Curci
- Sergio Bernardini
Institutions
- University of Rome Tor Vergata (IT)
Publication Details
- Journal
- Advanced Materials Technologies
- Published
- 2026-04-01
- DOI
- https://doi.org/10.1002/admt.70847
- Primary Topic
- Graphene and Nanomaterials Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00