The Aggregation of Destabilized Ag Triangular Nanoplates and Its Application in Detection of Thiram Residues.

Ag triangular nanoplates LSPR aggregation colorimetric detection thiram

Journal

Nanomaterials (Basel, Switzerland)
ISSN: 2079-4991
Titre abrégé: Nanomaterials (Basel)
Pays: Switzerland
ID NLM: 101610216

Informations de publication

Date de publication:
23 Jun 2022
Historique:
received: 11 05 2022
revised: 17 06 2022
accepted: 21 06 2022
entrez: 9 7 2022
pubmed: 10 7 2022
medline: 10 7 2022
Statut: epublish

Résumé

An aggregation or assembly of Ag triangular nanoplates (Ag TNPs) can cause dramatic changes in their optical properties, which is widely used in applications in the field of sensing. The assembly forms of nanoparticles are crucial for obtaining sensitive sensing signals, but it is unknown what kind of assembly dominates the aggregated Ag TNPs in aqueous solutions. Herein, using thiram-induced Ag TNP aggregation as a model, six different assembly models were established, including three planar (side-by-side, side-to-tip, and tip-to-tip) assemblies and three tridimensional (plane-to-plane, plane-to-tip, and plane-to-side) assemblies. The corresponding optical properties were then investigated. Both theoretical and experimental findings indicate that three-dimensional assemblies, especially plane-to-plane assembly, dominate the Ag TNPs aggregation solution, causing a blue shift of the absorption spectrum. Analysis of charge distribution patterns in Ag TNPs indicates that such a blue shift is caused by the electrostatic repulsive force in plane-to-plane assembly. Thus, we propose a simple colorimetric method for thiram detection using Ag TNPs as an indicator. The method exhibits a selective and sensitive response to thiram with a limit of detection of 0.13 μM in the range of 0.2-0.5 μM, as well as excellent performance in real samples like wheat.

Identifiants

pubmed: 35807988
pii: nano12132152
doi: 10.3390/nano12132152
pmc: PMC9268207
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Natural Science Basic Research Plan in Shaanxi Province of China
ID : 2022JM-461
Organisme : National Natural Science Foundation of China
ID : 51903147
Organisme : National Natural Science Foundation of China
ID : 21905166
Organisme : General Project of Key R&D Program-Agricultural Field of Shaanxi Provincial Department of Science and Technology
ID : 2022NY-087
Organisme : Key Research and Development Program of Shaanxi
ID : 2020NY-118

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Auteurs

Chunhong Zhang (C)

Xi'an Key Laboratory of Advanced Control and Intelligent Process, School of Automation, Xi'an University of Posts & Telecommunications, Xi'an 710121, China.

Hao Ren (H)

Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi'an 710062, China.

Xiangkui Jiang (X)

Xi'an Key Laboratory of Advanced Control and Intelligent Process, School of Automation, Xi'an University of Posts & Telecommunications, Xi'an 710121, China.

Guangfeng Jia (G)

School of Electronic Information Engineering, Xi'an Technological University, Xi'an 710021, China.

Zhigang Pan (Z)

Xi'an Key Laboratory of Advanced Control and Intelligent Process, School of Automation, Xi'an University of Posts & Telecommunications, Xi'an 710121, China.

Yongchun Liu (Y)

Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi'an 710062, China.

Classifications MeSH