Nanostructure-Enhanced Optical Sensing Platforms for Pesticide Analysis in Food and Water Samples: A Review

Pesticides are applied to promote performances in the agricultural field, sustaining crop productivity by counteracting the damages induced by pests and weeds. Under conditions of uncontrolled application, their negative influences exerted on soil, water and biodiversity mean contamination of food and impact on human health. The reactive oxygen species generation induced by pesticides impair the antioxidant protective ability. For humans, pesticides can have cytotoxic, carcinogenic, and mutagenic potential. They can be classified relying on the chemical structure or on the targeted organism. Optical sensors are based on UV-Vis absorption, fluorescence, chemiluminescence, surface plasmon resonance or Raman scattering. Based on their coloring features, nanomaterials are used in optical sensing platforms. They impart high specific surface area, small sizes, facility of surface modification by biorecognition elements (enzyme, antibody, aptamer, molecularly-imprinted polymer) and promote sensitivity and selectivity in biosensing platforms. The present paper highlights the performances of the optical sensing platforms in pesticide assay. Relevant novel applications are discussed critically, following the attempts to improve analytical features of chemical and biochemical sensors. Critical comparison of the techniques is performed in the last section. Advances in nanofabrication like the inclusion of novel nanomaterials and optimizing data interpretation by integration of algorithms can further enhance performances.

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Publication Details

Journal
Chemosensors
Published
2026-02-04
DOI
https://doi.org/10.3390/chemosensors14020043
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
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article

Nanostructure-Enhanced Optical Sensing Platforms for Pesticide Analysis in Food and Water Samples: A Review

Ovidiu Ionuț Geicu, L. Bilteanu, Loredana Stanca, Florin Iordache et al.
Chemosensors
Biosensors and Analytical Detection
article

Nanostructure-Enhanced Optical Sensing Platforms for Pesticide Analysis in Food and Water Samples: A Review

Ovidiu Ionuț Geicu, L. Bilteanu, Loredana Stanca, Florin Iordache, Iuliana Gâjâilă, Iuliana Ionaşcu, Andreea Iren Serban
article en

Abstract

Pesticides are applied to promote performances in the agricultural field, sustaining crop productivity by counteracting the damages induced by pests and weeds. Under conditions of uncontrolled application, their negative influences exerted on soil, water and biodiversity mean contamination of food and impact on human health. The reactive oxygen species generation induced by pesticides impair the antioxidant protective ability. For humans, pesticides can have cytotoxic, carcinogenic, and mutagenic potential. They can be classified relying on the chemical structure or on the targeted organism. Optical sensors are based on UV-Vis absorption, fluorescence, chemiluminescence, surface plasmon resonance or Raman scattering. Based on their coloring features, nanomaterials are used in optical sensing platforms. They impart high specific surface area, small sizes, facility of surface modification by biorecognition elements (enzyme, antibody, aptamer, molecularly-imprinted polymer) and promote sensitivity and selectivity in biosensing platforms. The present paper highlights the performances of the optical sensing platforms in pesticide assay. Relevant novel applications are discussed critically, following the attempts to improve analytical features of chemical and biochemical sensors. Critical comparison of the techniques is performed in the last section. Advances in nanofabrication like the inclusion of novel nanomaterials and optimizing data interpretation by integration of algorithms can further enhance performances.

ChemosensorsVol. 14(2)
University of Bucharest (RO), University of Agronomic Sciences and Veterinary Medicine of Bucharest (RO), National Institute for Research and Development in Microtechnologies (RO)
Zero hunger
Openalex Percentile: Top 68%
Biosensors and Analytical Detection
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