RUS  ENG
Full version
JOURNALS // Zhurnal Tekhnicheskoi Fiziki // Archive

Zhurnal Tekhnicheskoi Fiziki, 2025 Volume 95, Issue 3, Pages 633–642 (Mi jtf7534)

Special issue on the materials of the International Conference "Nanocarbon and Diamond" (NiA'2024)
Physics for sciences of life

Investigation of the influence of microalgae on the sensory properties of carbon materials

M. B. Shavelkinaa, I. V. Antonovabc, N. A. Nebogatikovab, A. I. Ivanovb, S. V. Kiselevaad, N. I. Chernovaad, T. B. Shatalovad

a Joint Institute for High Temperatures, Russian Academy of Sciences, Moscow
b Rzhanov Institute of Semiconductor Physics, Siberian Branch of Russian Academy of Sciences, Novosibirsk
c Novosibirsk State Technical University
d Lomonosov Moscow State University

Abstract: Blue-green microalgae/cyanobacterium Arthrospira platensis is a renewable resource, a source of food and feed protein and other valuable compounds (carbohydrates, lipids, vitamins), and can also serve as a material for studying human health monitoring technologies. A suspension was made from microalgae biomass and applied to a solid (SiO$_2$/Si dielectric plate) or flexible substrate (polyethylene terephthalate, PET) using 2D printing technologies. It was found that cyanobacterial films formed at atmospheric pressure react to exhaled air by significantly increasing their conductivity. A layer based on multigraphene and carbon fibers with a cyanobacterial film was formed and tested as a sensor structure. The texture and conductivity of the resulting structures were studied. High sensitivity of their electrical conductivity to human respiration, as well as to mechanical effects such as pressure on the sensor, was shown. It was found that the obtained conductive layer on the carbon fiber surface retains its conductivity under tensile deformations created by bending up to a radius of $\sim$ 2 mm. The mechanism of interaction of synthetic carbon materials with a natural component was discussed.

Keywords: microalgae biomass, graphene, carbon fibers, sensor, breath analysis.

Received: 03.10.2024
Revised: 03.10.2024
Accepted: 03.10.2024

DOI: 10.61011/JTF.2025.03.59871.294-24



Bibliographic databases:


© Steklov Math. Inst. of RAS, 2026