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Diamond materials and sensors

List institute develops synthetic diamond-based innovative sensors by making new transducers and equipping them with a specific signal processing electronic technology. Our competences give us the opportunity to develop original solutions implementing physical, chemical, electric and biological measurements etc.

These sensors can work either on liquid or gas phase and they can also adapt to extreme conditions: high temperatures, radiative or chemically aggressive environments, living biological tissues, etc. Our researchers collaborate with industrial companies from health, nuclear, security and instrumentation sectors.

Among our academic partners

Institut Louis-Néel (Grenoble, France), ESIEE Paris (France), Institut de la Vision (Paris, France), Fraunhofer institute (Karlsruhe, Freiburg, Germany), Forschungszentrum Jülich (Germany), University College London (UK)


  • Strong expertise on diamond material synthesis and applications
  • Expertise on transduction technologies, diamond sensor and integrated system
  • Sensor specific electronics development integrated and optimised

Major technologies

New carbon materials for implants

capteur techno3


We are currently developing 3D carbon materials with ESIEE and Thales for implants dedicated to functional substitution. One of the approaches used consists in covering a carbon nanotubes forest with nanocrystalline diamond. This material preserves diamond’s mechanic (flexibility, robustness) and chemical (bio-inertia, electrochemical window) properties. It also offers an electrochemical capacity and impedance equivalent to the best materials usually used for these applications.


Retina, inner ears or cortex implants.

Major projects


Olfactory biomimetic systems with diamond transducers

capteurs sys-olfac


Using synthetic diamond-based transducers, micro-levers type or SAW (surface acoustic waves), combined to chemical or biological sensitive layers makes it possible to implement innovative robust and very sensitive sensors that can detect volatile compounds. These sensors can be used separately for specific compounds detection but they can also be networked through a biomimetic approach. The network’s different sensors’ simultaneous response to an exposure to vapours is then treated with multiparameter methods based on automated learning. This approach allows detecting and identifying with an excellent specificity, a compound or a mixture of compounds associated to a smell for example.


Quality control, environmental assessment, security, medical diagnosis

Major projects