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Article

A Novel 3D Hierarchical Plasmonic Functional [email protected]3O4@Ag Array as Intelligent SERS Sensing Platform with Trace Droplet Rapid Detection Ability for Pesticide Residue Detection on Fruits and Vegetables

1
Key Laboratory for High Strength Lightweight Metallic Materials of Shandong Province (HM), Advanced Materials Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China
2
Center of Excellence for Environmental Safety and Biological Effects, Beijing Key Laboratory for Green Catalysis and Separation, Department of Chemistry and Biology, Beijing University of Technology, Beijing 100124, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editor: Sammy W. Verbruggen
Nanomaterials 2021, 11(12), 3460; https://doi.org/10.3390/nano11123460
Received: 26 November 2021 / Revised: 16 December 2021 / Accepted: 17 December 2021 / Published: 20 December 2021
(This article belongs to the Special Issue Functional Plasmonic Nanostructures)
Rapid and effective detection of pesticide residues from complex surfaces of fruits and vegetables has important significance. Herein, we report a novel three-dimensional (3D) hierarchical porous functional surface-enhanced Raman scattering (SERS) substrate, which is fabricated by successive two-step hydrothermal synthesis strategy of silver nanoparticles (Ag NPs) and cobalt oxide nanowires (Co3O4 NWs) on the 3D copper foam framework as [email protected]3O4@Ag-H. The strategy offers a new avenue for localized plasmonic materials distribution and construction, which exhibits better morphology regulation ability and SERS activity (or hotspots engineering) than physical spurring obtained [email protected]3O4@Ag-S. The developed [email protected]3O4@Ag-H possesses large surface area and rich hotspots, which contributes to the excellent SERS performance, including homogeneity (RSD of 7.8%), sensitivity (enhancement factor, EF of 2.24 × 108) and stability. The [email protected]3O4@Ag-H not only provides plenty of Electromagnetic enhancement (EM) hotspots but also the trace detection capability for droplet rapid sensing within 2 s. [email protected]3O4@Ag-H substrate is further developed as an effective SERS sensing platform for pesticide residues detection on the surfaces of fruits and vegetables with excellent LOD of 0.1 ppm, which is lower than the most similar reported works. This work offers new potential for bioassay, disease POCT diagnosis, national security, wearable flexible devices, energy storage and other related fields. View Full-Text
Keywords: surface-enhanced Raman scattering; [email protected]3O4@Ag; trace droplet; pesticide residues; 3D hierarchical plasmonic nanomaterials; Cu foam framework surface-enhanced Raman scattering; [email protected]3O4@Ag; trace droplet; pesticide residues; 3D hierarchical plasmonic nanomaterials; Cu foam framework
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MDPI and ACS Style

Sun, G.; Li, N.; Wang, D.; Xu, G.; Zhang, X.; Gong, H.; Li, D.; Li, Y.; Pang, H.; Gao, M.; Liang, X. A Novel 3D Hierarchical Plasmonic Functional [email protected]3O4@Ag Array as Intelligent SERS Sensing Platform with Trace Droplet Rapid Detection Ability for Pesticide Residue Detection on Fruits and Vegetables. Nanomaterials 2021, 11, 3460. https://doi.org/10.3390/nano11123460

AMA Style

Sun G, Li N, Wang D, Xu G, Zhang X, Gong H, Li D, Li Y, Pang H, Gao M, Liang X. A Novel 3D Hierarchical Plasmonic Functional [email protected]3O4@Ag Array as Intelligent SERS Sensing Platform with Trace Droplet Rapid Detection Ability for Pesticide Residue Detection on Fruits and Vegetables. Nanomaterials. 2021; 11(12):3460. https://doi.org/10.3390/nano11123460

Chicago/Turabian Style

Sun, Guanliang, Ning Li, Dan Wang, Guanchen Xu, Xingshuang Zhang, Hongyu Gong, Dongwei Li, Yong Li, Huaipeng Pang, Meng Gao, and Xiu Liang. 2021. "A Novel 3D Hierarchical Plasmonic Functional [email protected]3O4@Ag Array as Intelligent SERS Sensing Platform with Trace Droplet Rapid Detection Ability for Pesticide Residue Detection on Fruits and Vegetables" Nanomaterials 11, no. 12: 3460. https://doi.org/10.3390/nano11123460

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