Toward the OFET-Based Electronic Nose without Receptor Layers

The development of electronic nose systems is an important but rather challenging task nowadays. Organic field-effect transistors provide a powerful platform that is promising for electronic nose creation. In this work the sensory properties of a recently synthesized series of siloxane dimers of benzothieno[3,2-b][1]benzothiophene (BTBT) with different terminal alkyl groups (D2-Und-BTBT-Alkyl) as well as the possible mechanism of their sensitivity were investigated in detail. It was found that in spite of very similar chemical structure the dimers demonstrated dissimilar sensitivity and selectivity to various analytes─H2S, NH3, SO2, NO2, and several volatile organic compounds. The proposed mechanism of the patterns observed depends on both the correlations between the HOMO/LUMO energy levels of the dimer and the analyte and the dimer layer morphology/molecular packing. PCA analysis allowed us to choose the best four OFETs based on different siloxane dimers without any receptor layer for separation of the analytes and determining their concentrations on a 2D plot. These findings demonstrate that a rather small difference in the chemical structure of the organic semiconducting materials used for the OFET fabrication makes it possible to apply them as an array for the electronic nose creation.

Authors

Institutions

Publication Details

Journal
ACS Applied Electronic Materials
Published
2026-01-07
DOI
https://doi.org/10.1021/acsaelm.5c02199
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Toward the OFET-Based Electronic Nose without Receptor Layers

Elena V. Agina, Sergey A. Ponomarenko, Oleg V. Borshchev, Nikita O. Dubinets et al.
ACS Applied Electronic Materials
Advanced Chemical Sensor Technologies
article

Toward the OFET-Based Electronic Nose without Receptor Layers

Elena V. Agina, Sergey A. Ponomarenko, Oleg V. Borshchev, Nikita O. Dubinets, Askold A. Trul, Victoria P. Gaidarzhi, Siyovush K. Toirov, Andrey Yu. Sosorev, Anton A. Abramov
article en

Abstract

The development of electronic nose systems is an important but rather challenging task nowadays. Organic field-effect transistors provide a powerful platform that is promising for electronic nose creation. In this work the sensory properties of a recently synthesized series of siloxane dimers of benzothieno[3,2-b][1]benzothiophene (BTBT) with different terminal alkyl groups (D2-Und-BTBT-Alkyl) as well as the possible mechanism of their sensitivity were investigated in detail. It was found that in spite of very similar chemical structure the dimers demonstrated dissimilar sensitivity and selectivity to various analytes─H2S, NH3, SO2, NO2, and several volatile organic compounds. The proposed mechanism of the patterns observed depends on both the correlations between the HOMO/LUMO energy levels of the dimer and the analyte and the dimer layer morphology/molecular packing. PCA analysis allowed us to choose the best four OFETs based on different siloxane dimers without any receptor layer for separation of the analytes and determining their concentrations on a 2D plot. These findings demonstrate that a rather small difference in the chemical structure of the organic semiconducting materials used for the OFET fabrication makes it possible to apply them as an array for the electronic nose creation.

ACS Applied Electronic MaterialsVol. 8(2)
Institute of Synthetic Polymeric Materials (RU)
Affordable and clean energy
Openalex Percentile: Top 97%
Advanced Chemical Sensor Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.