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Bottom-up designing nanostructured oxide libraries under a lab-on-chip paradigm towards a low-cost highly-selective
Maksim A Solomatin1, Fedor S Fedorov2, Demid A Kirilenko3
1Yuri Gagarin State Technical University of Saratov, 77 Polytechnicheskaya St., Saratov, 410054, Russia; Saratov Branch of Kotelnikov Institute of Radioengineering and Electronics of RAS, Zelenaya St. 38, Saratov, 410019, Russia.
Analytica Chimica Acta
|November 30, 2024
Summary
This study presents a new method for creating selective multisensor arrays using metal oxide nanostructures for gas analysis. These low-cost electronic nose units can detect various alcohols at very low concentrations.
Area of Science:
- Materials Science
- Nanotechnology
- Chemical Sensing
Background:
- Multisensor technology offers a fast, accurate alternative to traditional gas analysis.
- It utilizes a biology-inspired approach with pattern recognition of multisensory signal vectors for selectivity.
- This study focuses on designing selective multisensor libraries using metal oxide nanostructures on a lab-on-chip platform.
Purpose of the Study:
- To develop a cost-effective method for creating selective multisensor arrays using bottom-up growth of metal oxide nanostructures.
- To investigate the fabrication of both mono-oxide and multi-oxide sensor arrays on a chip.
- To evaluate the gas-sensing performance of these arrays for alcohol vapors.
Main Methods:
- Utilized robust DC electrochemical protocols for bottom-up growth of metal oxide nanostructures (Co, Ni, Mn, Zn oxides) on a multi-electrode chip.
- Fabricated two types of sensor arrays: gradient-grown mono-oxide films and multi-oxide films.
- Characterized materials using electron microscopy, X-ray diffraction, thermogravimetric analysis, and X-ray photoelectron spectroscopy/mapping.
Main Results:
- Achieved growth of nanowall-like oxide structures forming chemiresistive films in inter-electrode gaps.
- Observed ZnO doping effects, creating heterojunctions that enhance functional properties in multi-oxide arrays.
- Demonstrated high-sensitivity chemiresistive signals for detecting chemically similar alcohol vapors at sub- and low parts-per-million (ppm) concentrations.
Conclusions:
- Developed oxide nanostructures enable selective alcohol detection via multisensor vector signals, even at sub-ppm levels.
- Multi-oxide arrays offer superior selectivity compared to mono-oxide arrays due to material versatility.
- The presented method facilitates the production of low-cost, efficient electronic nose units for diverse applications.
