Construction of Ag nanowire@Au nanoparticle nano nests with densely stacked small gaps for actively trapping molecules to realize diversity SERS detection. Issue 11 (12th May 2022)

• Record Type: Journal Article
• Authors: Xie, Tao; Li, Pan; Ge, Meihong; Chen, Siyu; Huang, Guangyao; Li, Junxiang; Gong, Meiting; Weng, Shirui; Yang, Liangbao
• Is Part Of: Analyst. Volume 147:Issue 11(2022)
• Page Start: 2541
• Page End: 2548
• Publication Date: 2022-05-12
• Subjects: Chemistry, Analytic -- Periodicals; 543
• DOI: 10.1039/d2an00527a
• Languages: English
• ISSNs: 0003-2654

Abstract

Abstract : The SERS detection method based nano nest model actively traps molecules by the capillary action to detect different kinds of molecules, such as pesticide residues, bioenergy substances, antibiotic residues and allergic reactions. Abstract : Highly sensitive surface-enhanced Raman spectroscopy (SERS) sensing not only depends on an active substrate with high density of hot spots, but also depends more on whether the molecules can effectively enter the hot spot region. In this paper, a new SERS detection method based on the nano nest model is developed to autonomously capture molecules into hot spots. The nano nest is composed of silver nanowires modified with gold nanoparticles (Ag NW@Au NPs), which not only form high density hot spots between particles or particles-wires, but also have a coupled electromagnetic field enhancement effect. The SERS detection method based nano nest actively traps molecules through the capillary stage, and makes the molecules move toward densely stacked small gaps (hot spots) by capillary action. The above method has been used to detect different kinds of molecules, such as pesticide residues, adenosine triphosphate in culture medium, and antibiotic residues in aquatic products. In addition, an in situ SERS monitoring of allergic reactions was also performed using nano nests with the feature of actively trapping molecules into the hot spots. This nano nest will be able to perform a direct monitoring of biochemical reactions, and more importantly, it can provide a new scheme for SERS detection.