Porcine gelatine detection via electrochemical immunosensors utilizing green-synthesized cerium oxide nanoparticles from orange peel
Maintaining the safety and proper labelling of food products is vital for communities around the world. One of the primary concerns in food safety is the unintentional presence of porcine derivatives such as gelatine in food products. This issue could affect the labelling accuracy of food products,...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
International Association of Physical Chemists (IAPC)
2025-07-01
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| Series: | Journal of Electrochemical Science and Engineering |
| Subjects: | |
| Online Access: | https://pub.iapchem.org/ojs/index.php/JESE/article/view/2698 |
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| Summary: | Maintaining the safety and proper labelling of food products is vital for communities around the world. One of the primary concerns in food safety is the unintentional presence of porcine derivatives such as gelatine in food products. This issue could affect the labelling accuracy of food products, religious dietary observances, regulatory compliance, and public health. Electrochemical immunosensors address this issue by rapidly, portably, and especially with high sensitivity, detecting porcine gelatine. The electrode was modified with CeO2 nanoparticles (NPs) synthesized via a green method using orange peel extract, which enhanced the immobilization of the bioreceptor on the electrode surface. Orange peel extract contains secondary metabolites that can act as stabilizing agents and prevent agglomeration during the synthesis process. The synthesized CeO2 NPs show a cube morphology, producing an average particle size of 12 nm with 77.31 % crystallinity. The performance of green synthesized CeO2 NPs modified electrode are successful for detecting porcine gelatine in solution and commercialized gelatine product, resulting in a limit of detection of 3.53 ppm. These results show the potential of green-synthesized CeO2 NPs for an electrochemical immunosensor for detecting porcine products.
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| ISSN: | 1847-9286 |