Cost-Effective Method for Dissolved Oxygen Sensing with Electrodeposited n-Cu<sub>2</sub>O Thin-Film Semiconductors
Dissolved oxygen (DO) is a crucial parameter in water quality monitoring because it directly affects the health of aquatic ecosystems. This study explored electrodeposited Cu<sub>2</sub>O thin-film semiconductors for DO sensing. Cu<sub>2</sub>O was chosen for its low cost, ec...
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| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
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| Series: | Physchem |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-7167/5/1/6 |
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| Summary: | Dissolved oxygen (DO) is a crucial parameter in water quality monitoring because it directly affects the health of aquatic ecosystems. This study explored electrodeposited Cu<sub>2</sub>O thin-film semiconductors for DO sensing. Cu<sub>2</sub>O was chosen for its low cost, eco-friendliness, and non-toxic nature. Cu<sub>2</sub>O films were electrodeposited on titanium (Ti) substrates using an acetate bath (0.1 M sodium acetate and 0.01 M cupric acetate) at −200 mV versus Ag/AgCl for 30 min, with a bath temperature of 55 °C, stirred at 50 rpm. The bath pH was systematically adjusted from 5.8 to 6.8 in 0.2 steps using NaOH and Acetic acid. A range of analyses including synchrotron X-ray diffraction (SXRD), scanning electron microscopy (SEM), surface wettability, capacitance–voltage (C-V), Raman spectroscopy, Fourier-transform infrared (FTIR) spectrum, and Electrochemical Impedance Spectroscopy (EIS) was performed to assess their properties and sensing performance. The results showed that Cu<sub>2</sub>O films deposited at pH 6.4 exhibited optimal performance for DO sensing, with a strong linear response, marking this pH, deposition time, and temperature as ideal for creating effective DO sensors. This study introduces a novel, cost-effective approach to dissolved oxygen sensing using electrodeposited n-Cu<sub>2</sub>O thin-film semiconductors, marking the first application of this material in such sensors and showcasing its potential for scalable and environmentally sustainable sensing technologies. |
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| ISSN: | 2673-7167 |