Outer Surface Functionalized Graphene Oxide Nanofluidic Platform for Selective Detection of Insect Pheromones

Abstract Invasive insects inflict severe ecological and economic damage, creating an urgent need for rapid and early detection strategies. Here, we present a biomimetic strategy that replicates the molecular recognition principles of insect olfaction. As a proof of concept, our platform comprises a graphene oxide membrane with its outer surface functionalized with the pheromone-specific odorant-binding proteins (OBPs) of gypsy moth (Lymantria dispar). The OBP selectively captures the pheromone, (+)-disparlure (DIS), in the vapor phase. This binding event alters the outer surface charge of the nanochannel, which is directly transduced into a measurable change in ionic current─a mechanism that enables vapor-phase molecular recognition using solid-state nanochannels. The sensor detects DIS vapor with exceptional selectivity against nontarget volatiles and a limit of detection of ∼121.7 ppm. It maintains robust performance over 24 days of storage at 4 °C and operates reliably across a wide temperature range (4–60 °C). Crucially, it selectively identifies a single live female gypsy moth within minutes, with no cross-reactivity to other lepidopteran species. By translating the selective mechanism of insect olfaction into a synthetic nanofluidic architecture, this work establishes a versatile and generalizable strategy for proactive pest surveillance in agricultural fields, forests, and border inspection stations.

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Publication Details

Journal
Analytical Chemistry
Published
2026-09-24
DOI
https://doi.org/10.1021/acs.analchem.6c04731
Primary Topic
Neurobiology and Insect Physiology Research
Type
article
Field-Weighted Citation Impact
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Outer Surface Functionalized Graphene Oxide Nanofluidic Platform for Selective Detection of Insect Pheromones

Qun Ma, Fan Xia, Yanxue Yu, Hongwei Li et al.
Analytical Chemistry
Neurobiology and Insect Physiology Research
article

Outer Surface Functionalized Graphene Oxide Nanofluidic Platform for Selective Detection of Insect Pheromones

Qun Ma, Fan Xia, Yanxue Yu, Hongwei Li, Liu Zhang, Xiaolu Li, Haotian Wang, Linfeng Chen, Yuxin Hu, Yanan Li, Jia Liu, Zhenyu Zhai, Lei Xu, Juan Shi
article en

Abstract

Abstract Invasive insects inflict severe ecological and economic damage, creating an urgent need for rapid and early detection strategies. Here, we present a biomimetic strategy that replicates the molecular recognition principles of insect olfaction. As a proof of concept, our platform comprises a graphene oxide membrane with its outer surface functionalized with the pheromone-specific odorant-binding proteins (OBPs) of gypsy moth (Lymantria dispar). The OBP selectively captures the pheromone, (+)-disparlure (DIS), in the vapor phase. This binding event alters the outer surface charge of the nanochannel, which is directly transduced into a measurable change in ionic current─a mechanism that enables vapor-phase molecular recognition using solid-state nanochannels. The sensor detects DIS vapor with exceptional selectivity against nontarget volatiles and a limit of detection of ∼121.7 ppm. It maintains robust performance over 24 days of storage at 4 °C and operates reliably across a wide temperature range (4–60 °C). Crucially, it selectively identifies a single live female gypsy moth within minutes, with no cross-reactivity to other lepidopteran species. By translating the selective mechanism of insect olfaction into a synthetic nanofluidic architecture, this work establishes a versatile and generalizable strategy for proactive pest surveillance in agricultural fields, forests, and border inspection stations.

Analytical Chemistry
China University of Geosciences (CN), China University of Geosciences (Beijing) (CN), Beijing Forestry University (CN), Chinese Academy of Inspection and Quarantine (CN), National Institute of Metrology (CN)
Zero hunger
Openalex Percentile: Top 17%
Neurobiology and Insect Physiology Research
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