journal article·2018-08-22

Plasmonic Nanotrough Networks for Scalable Bacterial Raman Biosensing

Ran Zhang, Yan Hong, Bjoern M. Reinhard, Pinghua Liu, Ren Wang, Luca Dal Negro

ACS Applied Materials & Interfaces· Volume 10· Issue 33
Publisher page

Abstract

We demonstrate a novel approach for fabricating surface enhanced Raman scattering (SERS) substrates for single bacterial biosensing based on Ag cylindrical nanotrough networks (CNNs). This approach is developed with large scalability by leveraging a cellulose nanofiber template fabrication via facile electrospinning. Specifically, a concave nanotrough structure consisting of interconnected concave Ag nanoshells is demonstrated by depositing a thin layer of Ag atop a sacrificial electrospun nanofiber template and then completely removing the cellulose core in water. Our investigations of the scattering properties and SERS performances of single isolated Ag nanotroughs of different diameters reveal that nanotrough-based substrates provide tunable optical responses and enhanced SERS intensities. Further, Ag CNNs are fabricated in highly interconnected networks that yield reproducible SERS signals for molecular monolayers and whole bacterial cells, enabling rapid spectral discrimination between different bacterial strains. Finally, by performing principal component analysis on a large number of measured SERS spectra (40 spectra per bacterium), we demonstrate successful spectral discrimination between two types of Escherichia coli ( E. coli) bacteria, that is, E. coli K12 with its derivative E. coli DH 5α and E. coli BL21(DE3). The demonstrated cost-effective substrates feature several advantages over conventional SERS substrates including environmentally friendly and scalable fabrication compatible with versatile devices and provide an alternative approach to rapid SERS detection and screening of biochemicals.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Gold and Silver Nanoparticles Synthesis and Applications · Biosensors and Analytical Detection · Advanced biosensing and bioanalysis techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Division of Materials Science and Engineering, Boston University, 15 Saint Mary’s Street, Brookline, Massachusetts 02446, United States

State Key Laboratory of Electronic Thin-Film and Integrated Devices, University of Electronic Science and Technology of China, Chengdu 610054, China

Department of Chemistry & Photonics Center, Boston University, Boston, Massachusetts 02215, United States

Department of Electrical and Computer Engineering & Photonics Center, Boston University, 8 Saint Mary Street, Boston, Massachusetts 02215, United States

Department of Physics, Boston University, 590 Commonwealth Avenue, Boston, Massachusetts 02215, United States

Funding

Division of Chemistry · Army Research Laboratory · Boston University Nanotechnology Innovation Center

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