Nanochannel Electrochemical Sensor Based on Multi-walled Carbon Nanotubes and Gold Nanoparticles for Heavy Metal Detection in Grains
This study developed a electrochemical sensor based on gold nanoparticles (AuNPs) and multi-walled carbon nanotubes (MWCNTs) modified anodized aluminum oxide (AAO) membrane, coupled with a screen-printed carbon electrode (SPCE), for trace cadmium (Cd2+) and lead (Pb2+) ion detection in grain samples...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
The editorial department of Science and Technology of Food Industry
2025-08-01
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| Series: | Shipin gongye ke-ji |
| Subjects: | |
| Online Access: | http://www.spgykj.com/cn/article/doi/10.13386/j.issn1002-0306.2024100005 |
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| Summary: | This study developed a electrochemical sensor based on gold nanoparticles (AuNPs) and multi-walled carbon nanotubes (MWCNTs) modified anodized aluminum oxide (AAO) membrane, coupled with a screen-printed carbon electrode (SPCE), for trace cadmium (Cd2+) and lead (Pb2+) ion detection in grain samples. The surface morphology and structure of the AuNPs-MWCNTs@AAO membrane were characterized by scanning electron microscopy (SEM), transmission electron microscopy (TEM), and X-ray diffraction (XRD). Electrochemical performance was assessed using cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS). The optimized detection conditions were as follows: AAO membrane ultrasound treatment for 10 minutes, buffer solution at pH5.5, and stripping at −1.2 V for 180 s in the optimized buffer. Over the concentration range of 0.1~10.00 μg/L, the oxidation peak currents exhibited a strong linear correlation with concentration, with correlation coefficients (R2) of 0.9903 and 0.9993. The limits of detection (LOD) for Cd2+ and Pb2+ were 0.23 μg/L and 0.11 μg/L, respectively. The sensor demonstrated strong selectivity against common interfering metal ions, with current response variation not exceeding 5% even at 100-fold excess concentrations. The sensor exhibited high repeatability, reproducibility, and long-term stability, with relative standard deviations (RSD) of 2.5% and 2.3% for the oxidation-reduction peak currents. The sensor is easy to prepare and provides reliable, effective performance for detecting trace heavy metals in grain samples. |
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| ISSN: | 1002-0306 |