Sensitive electrochemical sensor based on nickel/PDDA/reduced graphene oxide modified screen-printed carbon electrode
Aunyarut Paisanpisuttisin1, Praewpitcha Poonwattanapong1, Punnada Rakthabut1
1Department of Chemistry, Faculty of Science, Kasetsart University Bangkok 10900 Thailand fsciwls@ku.ac.th.
A new electrochemical sensor using nickel, poly(diallyldimethylammonium chloride) (PDDA), and reduced graphene oxide (rGO) on a disposable screen-printed carbon electrode (SPCE) offers a fast and sensitive method for determining nitrite in food samples.
Area of Science:
- Analytical Chemistry
- Electrochemistry
- Materials Science
Background:
- Nitrite determination in food is crucial for safety and quality control.
- Existing methods for nitrite analysis can be complex or lack sensitivity.
- Development of rapid, sensitive, and selective sensors is an ongoing analytical challenge.
Purpose of the Study:
- To develop a simple, rapid, and highly sensitive electrochemical sensor for nitrite determination.
- To modify a disposable screen-printed carbon electrode (SPCE) for enhanced analytical performance.
- To validate the sensor's applicability in real food samples.
Main Methods:
- Fabrication of a novel electrochemical sensor using nickel (Ni), poly(diallyldimethylammonium chloride) (PDDA), and reduced graphene oxide (rGO) on an SPCE.
- Electrochemical analysis of nitrite using cyclic voltammetry (CV) under optimized conditions.
- Characterization of sensor performance, including linear working range, limit of detection (LOD), limit of quantification (LOQ), and sensitivity.
Main Results:
- The Ni/PDDA/rGO/SPCE demonstrated a linear working range of 6 to 100 μM for nitrite.
- Achieved a low limit of detection (LOD) of 1.99 μM and limit of quantification (LOQ) of 6.6 μM.
- Exhibited excellent anti-interference capabilities and long-term stability, with high sensitivity values.
Conclusions:
- The developed disposable electrochemical sensor provides a sensitive and selective platform for rapid nitrite detection.
- The sensor successfully determined nitrite in food samples like sausages and pickled vegetables with satisfactory recovery rates.
- This Ni/PDDA/rGO/SPCE offers a promising tool for routine food safety analysis.
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