Sensor platforms based on plasmonic nano-crescent arrays

Lobanova E.M., Bakhratov I.A., Shabatina T.I., Bochenkov V.E.

For Russian citation (Opticheskii Zhurnal):

Лобанова Е.М., Бахратов И.А., Шабатина Т.И., Боченков В.Е. Сенсорные платформы на основе массивов плазмонных нанополумесяцев // Оптический журнал. 2026. Т. 93. № 8. С. 50–56. http://doi.org/10.17586/1023-5086-2026-93-08-50-56

Lobanova E.M., Bakhratov I.A., Shabatina T.I., Bochenkov V.E. Sensor platforms based on plasmonic nano-crescent arrays [in Russian] // Opticheskii Zhurnal. 2026. Т. 93. № 8. С. 50–56. http://doi.org/10.17586/1023-5086-2026-93-08-50-56

For citation (Journal of Optical Technology):

Abstract:

Scope of research. Sensitive refractometric platforms based on ordered arrays of plasmonic gold nanocrescents. Aim of study. Development and experimental characterization of a highly sensitive and reproducible sensing platform based on arrays of plasmonic gold nanocrescents for detecting refractive index changes in the in aqueous solutions. Method. To create nanoparticle sensor arrays, a modified colloidal lithography technique with angular metal deposition and subsequent ion-plasma etching of the template was used. Using electron spectroscopy, the shift in localized plasmon resonance with changes in the refractive index of the medium was measured, which was used to calculate the sensor sensitivity. Numerical simulation using the finite-difference time-domain method was used to analyze the experimental data and verify the sensitivity. Main results. A correlation was established between the geometric chirality of the nanocrescents and their spectral characteristics. The platform demonstrates high sensitivity to refractive index changes — up to 534 ± 75 nm/RIU. Practical significance. The results of the work provide a basis for the development of new compact plasmonic biosensors and the integration of similar plasmonic platforms into a lab-on-a-chip system.

Keywords:

colloidal lithography, optical sensor, plasmonic nanoparticles, plasmonic resonance

Acknowledgements:

this work was completed within the framework of the state assignment to Lomonosov Moscow State University, topic № 121031300176-3, and with financial support from the Moscow University Development Program within the framework of the state assignment to Lomonosov Moscow State University, № AAAA-A21-121011590090-7.

OCIS codes: 130.6010, 160.4670, 160.4760, 230.0230, 240.0240, 240.6490, 240.6680

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