Skip to content
DraconiticResearch
Search Sources API
197,768 studies31 sourcesUpdated 13 min ago
Peer-reviewedCC BY 4.0ACS Omega

Fermi-Level Modulation in Graphene Sensors Revealed by Voltage-Dependent Raman Spectroscopy and 3D Waterfall Response Mapping

  1. 1Czech Academy of Sciences , , Žižkova 22 , ,
  2. 2Brno University of Technology , , Technická 2848/8 , ,
  3. 3Czech Academy of Sciences , , Královopolská 147 , ,

Abstract

The electronic properties of graphene sensors are governed by the position of the Fermi level, which determines the carrier concentration and consequently controls the electrical conductivity and sensing performance. Although Fermi-level modulation is widely recognized as the fundamental mechanism of graphene-based sensing, its direct experimental correlation with the dynamic sensing response has remained insufficiently explored. In this work, we demonstrate that Raman spectroscopy provides a direct, nondestructive method for quantifying the relative Fermi-level modulation through systematic shifts of the G and 2D Raman bands associated with changes in carrier concentration. The Raman analysis reveals reversible electrical tuning of the graphene electronic structure under source-drain voltage without introducing structural defects, allowing quantitative estimation of the Fermi-level relative displacement. To investigate the dynamic behavior of the same electronic states during sensor operation, low-frequency time–frequency waterfall spectroscopy was employed under chemical and optical stimulation. The results demonstrate that external stimuli induce transient perturbations of the graphene Fermi level, producing characteristic conductivity fluctuations that depend on the magnitude and kinetics of carrier-density modulation. The combination of static (Raman spectroscopy) and dynamic (waterfall fluctuation) analyses establishes a unified sensing mechanism linking Fermi-level modulation → carrier concentration → conductivity fluctuations → sensor response. These findings demonstrate that evaluation of the Fermi level is essential not only for understanding the intrinsic electronic structure of graphene but also for interpreting and optimizing its real-time chemical and optical sensing performance, providing a comprehensive framework for the design of next-generation graphene sensors.

Related

  1. Solvent-Dependent Self-Association of Chiral 2-Acetoxy-2-Phenylacetic Acid Revealed by Infrared and Vibrational Circular Dichroism Spectroscopy
    Anwesha Datta, Tapas Chakraborty
    ChemRxivPreprintCC BY-NC-NDFull textPhysical chemistryChemRxiv
  2. Deposition-Dependent Excitonic Properties of Spin-Coated CsPbBr3 Thin Films Revealed by Temperature-Dependent Optical Spectroscopy.
    Carina Cabrera, Daniel L. Gau, Enzo L. Spera +10
    ChemRxivPreprintCC BYFull textGeneral chemistryChemRxiv
  3. Role of Graphene Oxide in the Nucleation and Growth of Gold Nanoparticles Revealed by Operando Time‐Resolved Studies
    Liran Hu, Carine Clavaguéra, Zhenpeng Cui +7
    Angewandte Chemie International EditionPeer-reviewedCC BY-NC-ND 4.0Full textMaterials & polymersHALPMC
  4. Orthogonal phase modulation and Lissajous mode decoupling in light-induced thermoelastic spectroscopy for real-time multi-component gas sensing
    Hanxu Ma, Shunda Qiao, Ying He +2
    Reports on Progress in PhysicsPeer-reviewedLicence not statedFull text28 citedPhysical chemistryOpenAlex
  5. Mn--Cr dopant association in dilute co-doped ZnAl2O4 revealed by combined EPR and optical spectroscopy
    Apoko S. Omondi, Mátyás M. Rudolf, Nikoletta Jegenyés +5
    arXivPreprintCC BY 4.0Full textPhysical chemistryCondensed matterarXiv
BibTeX
@article{sobola2026fermilevel,
  title = {{Fermi-Level Modulation in Graphene Sensors Revealed by Voltage-Dependent Raman Spectroscopy and 3D Waterfall Response Mapping}},
  author = {Dinara Sobola and Patrik Staroň and Pavel Kaspar and Nikola Papež and Saleh Fawaeer and Petr Sedlák},
  journal = {ACS Omega},
  year = {2026},
  month = nov,
  doi = {10.1021/acsomega.6c08147},
  url = {https://pubs.acs.org/acsodf/article/doi/10.1021/acsomega.6c08147/5464763/Fermi-Level-Modulation-in-Graphene-Sensors},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Fermi-Level Modulation in Graphene Sensors Revealed by Voltage-Dependent Raman Spectroscopy and 3D Waterfall Response Mapping
AU  - Dinara Sobola
AU  - Patrik Staroň
AU  - Pavel Kaspar
AU  - Nikola Papež
AU  - Saleh Fawaeer
AU  - Petr Sedlák
PY  - 2026
DA  - 2026/11/05
JO  - ACS Omega
DO  - 10.1021/acsomega.6c08147
UR  - https://pubs.acs.org/acsodf/article/doi/10.1021/acsomega.6c08147/5464763/Fermi-Level-Modulation-in-Graphene-Sensors
AB  - The electronic properties of graphene sensors are governed by the position of the Fermi level, which determines the carrier concentration and consequently controls the electrical conductivity and sensing performance. Although Fermi-level modulation is widely recognized as the fundamental mechanism of graphene-based sensing, its direct experimental correlation with the dynamic sensing response has remained insufficiently explored. In this work, we demonstrate that Raman spectroscopy provides a direct, nondestructive method for quantifying the relative Fermi-level modulation through systematic shifts of the G and 2D Raman bands associated with changes in carrier concentration. The Raman analysis reveals reversible electrical tuning of the graphene electronic structure under source-drain voltage without introducing structural defects, allowing quantitative estimation of the Fermi-level relative displacement. To investigate the dynamic behavior of the same electronic states during sensor operation, low-frequency time–frequency waterfall spectroscopy was employed under chemical and optical stimulation. The results demonstrate that external stimuli induce transient perturbations of the graphene Fermi level, producing characteristic conductivity fluctuations that depend on the magnitude and kinetics of carrier-density modulation. The combination of static (Raman spectroscopy) and dynamic (waterfall fluctuation) analyses establishes a unified sensing mechanism linking Fermi-level modulation → carrier concentration → conductivity fluctuations → sensor response. These findings demonstrate that evaluation of the Fermi level is essential not only for understanding the intrinsic electronic structure of graphene but also for interpreting and optimizing its real-time chemical and optical sensing performance, providing a comprehensive framework for the design of next-generation graphene sensors.
SN  - 2470-1343
ER  -