Cu/Ag Sphere Segment Void Array as Efficient Surface Enhanced Raman Spectroscopy Substrate for Detecting Individual Atmospheric Aerosol

Xu Dong, Lukas Ohnoutek, Yang Yang, Yiqing Feng, Tao Wang, Muhammad Ali Tahir, Ventsislav Valev, Liwu Zhang

Research output: Contribution to journalArticle

Abstract

Surface enhanced Raman spectroscopy (SERS) shows great promise in studying individual atmospheric aerosol. However, the lack of efficient, stable, uniform, large-array, and low-cost SERS substrates constitutes a major roadblock. Herein, a new SERS substrate is proposed for detecting individual atmospheric aerosol particles. It is based on the sphere segment void (SSV) structure of copper and silver (Cu/Ag) alloy. The SSV structure is prepared by an electrodeposition method and presents a uniform distribution, over large 2 cm 2 arrays and at low cost. The substrate offers a high SERS enhancement factor (due to Ag) combined with lasting stability (due to Cu). The SSV structure of the arrays generates a high density of SERS hotspots (1.3 × 10 14/cm 2), making it an excellent substrate for atmospheric aerosol detection. For stimulated sulfate aerosols, the Raman signal is greatly enhanced (>50 times), an order of magnitude more than previously reported substrates for the same purpose. For ambient particles, collected and studied on a heavy haze day, the enhanced Raman signal allows ready observation of morphology and identification of chemical components, such as nitrates and sulfates. This work provides an efficient strategy for developing SERS substrate for detecting individual atmospheric aerosol.

Original languageEnglish
Pages (from-to)13647-13657
Number of pages11
JournalAnalytical Chemistry
Volume91
Issue number21
Early online date3 Oct 2019
DOIs
Publication statusPublished - 5 Nov 2019

ASJC Scopus subject areas

  • Analytical Chemistry

Cite this

Cu/Ag Sphere Segment Void Array as Efficient Surface Enhanced Raman Spectroscopy Substrate for Detecting Individual Atmospheric Aerosol. / Dong, Xu; Ohnoutek, Lukas; Yang, Yang; Feng, Yiqing; Wang, Tao; Tahir, Muhammad Ali; Valev, Ventsislav; Zhang, Liwu.

In: Analytical Chemistry, Vol. 91, No. 21, 05.11.2019, p. 13647-13657.

Research output: Contribution to journalArticle

Dong, Xu ; Ohnoutek, Lukas ; Yang, Yang ; Feng, Yiqing ; Wang, Tao ; Tahir, Muhammad Ali ; Valev, Ventsislav ; Zhang, Liwu. / Cu/Ag Sphere Segment Void Array as Efficient Surface Enhanced Raman Spectroscopy Substrate for Detecting Individual Atmospheric Aerosol. In: Analytical Chemistry. 2019 ; Vol. 91, No. 21. pp. 13647-13657.
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