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Precipitation Gravimetry

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Ruthenium oxide modified nickel electrode for ascorbic acid detection.

Yuan-Gee Lee¹, Bo-Xuan Liao², Yu-Ching Weng²

¹Department of Automation Engineering and Institute of Mechatronoptic Systems, Chien-Kuo Institute of Technology, Changhua 50094, Taiwan.

|January 30, 2017

Summary

This summary is machine-generated.

Ruthenium oxide modified nickel electrodes exhibit high sensitivity and selectivity for ascorbic acid detection. Optimal performance was achieved with nano-crystalline ruthenium oxide, demonstrating good stability over 38 days.

Keywords:

Ascorbic acid Nano-crystalline Sensor Thermal decomposition Wetting effect

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Area of Science:

Electrochemistry
Materials Science
Analytical Chemistry

Background:

Development of sensitive and selective electrochemical sensors is crucial for analyte detection.
Ruthenium oxide (RuO_x) modified electrodes show promise for electrochemical sensing applications.
Nickel (Ni) serves as a potential substrate for modified electrode fabrication.

Purpose of the Study:

To prepare and characterize ruthenium oxide modified nickel electrodes.
To evaluate the sensing performance for ascorbic acid in alkaline solutions.
To investigate the influence of morphology and substrate effects on electrode sensitivity and stability.

Main Methods:

Thermal decomposition method for preparing RuO_x/Ni electrodes.
Quantitative determination of RuO_x stoichiometry (RuO₅).
Electrochemical measurements to assess sensitivity, selectivity, and stability for ascorbic acid sensing.

Main Results:

Electrodes demonstrated high sensitivity (296 μAcm^-2 mM^-1) and selectivity towards ascorbic acid.
Maximum sensitivity was correlated with a nano-crystalline morphology of RuO_x.
Electrode performance degraded with increased RuO_x thickness due to substrate oxidation and morphological changes.
The RuO_x/Ni electrode exhibited good stability over 38 days of testing.

Conclusions:

Ruthenium oxide modified nickel electrodes are effective for sensitive and selective ascorbic acid detection.
Electrode morphology significantly impacts sensing performance, with nano-crystalline structures being optimal.
Substrate oxidation and morphological evolution affect long-term stability and sensitivity.