Highly Efficient and Selective Biosensing of Malathion Utilizing Bioengineered Nanoplatform Based on Fe <sub>3</sub> O <sub>4</sub>
Nanobioengineered platforms have emerged as promising candidates for biosensing due to their exceptional surface properties accompanied by enhanced functionalization potential. In this research, biogenically synthesized Fe<sub>3</sub>O<sub>4</sub> nanoparticles (NPs) have been utilized to fabricate efficient biosensors for the selective and sensitive detection of malathion pesticides. The structural and physicochemical properties of the Fe<sub>3</sub>O<sub>4</sub> NPs were thoroughly validated, ascertaining their stability and suitability for malathion biosensing. The Fe<sub>3</sub>O<sub>4</sub> NPs were electrodeposited onto the carbon working electrode of the screen-printed electrode (SPE) via electrophoretic deposition, followed by the immobilization of choline oxidase (ChO) to create the ChO-Fe<sub>3</sub>O<sub>4</sub> NPs/SPE nanobioengineered electrodes. This biosensor exhibited remarkable sensitivity and specificity toward malathion, with its performance being governed by diffusion layer dynamics, allowing for the reliable detection of malathion across a broad concentration range. With a detection limit of 1.79 μM and a sensitivity of 98.3 μA μM<sup>-1</sup>cm<sup>-2</sup> over a wide linear range of 1-200 μM, the sensor exhibits high analytical performance that is competitive with previously reported malathion sensors. The sensor exhibited excellent selectivity, precision, and long-term stability, demonstrating its suitability for the rapid and accurate quantification of malathion in agricultural and environmental samples. Furthermore, real-sample analysis using spiked soil samples showed high recovery rates (93.9% to 98.4%), confirming the sensor's reliability for practical applications. This eco-friendly and cost-effective approach highlights the potential of biogenic nanomaterials in the development of advanced pesticide sensors, thereby contributing to safer environmental practices and enhanced food quality monitoring.
Authors
- Shyam S. Pandey (ORCID: https://orcid.org/0000-0001-8102-1003)
- Prashant Singh
- Kshitij RB Singh
Institutions
- Kyushu Institute of Technology (JP)
- Indira Gandhi National Tribal University (IN)
Publication Details
- Journal
- Langmuir
- Published
- 2026-01-07
- DOI
- https://doi.org/10.1021/acs.langmuir.5c05560
- Citations
- 2
- Primary Topic
- Electrochemical sensors and biosensors
- Type
- article
- Field-Weighted Citation Impact
- 43.86