Dragonfly wing decorated by gold nanoislands as flexible and stable substrates for surface-enhanced Raman scattering (SERS)
Autor: | Yuhong Wang, Ruifeng Li, Guo Chao Shi, Yan Ying Zhu, Wanli Ma, Ming Li Wang, Lin Shen |
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Rok vydání: | 2018 |
Předmět: |
Materials science
Nanostructure Science Analytical chemistry 02 engineering and technology 010402 general chemistry 01 natural sciences Article Rhodamine symbols.namesake chemistry.chemical_compound Sputtering Detection limit Multidisciplinary Substrate (chemistry) Sputter deposition 021001 nanoscience & nanotechnology 0104 chemical sciences chemistry symbols Medicine 0210 nano-technology Raman spectroscopy Raman scattering |
Zdroj: | Scientific Reports Scientific Reports, Vol 8, Iss 1, Pp 1-11 (2018) |
ISSN: | 2045-2322 |
DOI: | 10.1038/s41598-018-25228-8 |
Popis: | A flexible and stable biomimetic SERS substrate was successfully fabricated by depositing gold (Au) nanoislands on the dragonfly wings (DW) via a simple DC magnetron sputtering system. Characterizations of the Au/DW nanostructure indicated that the optimum Au/DW-45 (sputtering time was 45 min) substrate owns high sensitivity, good stability and outstanding reproducibility. The limit of detection (LOD) for Rhodamine 6 G (R6G) was as low as 10−7 M and enhancement factor (EF) was calculated to be 2.8 × 106. 70-day-duration stability tests showed that Raman intensity of R6G reduced only by 12.9% after aging for 70 days. The maximum relative standard deviations (RSD) of SERS intensities from 100 positions of Au/DW-45 substrate were less than 8.3%, revealing outstanding uniformity and reproducibility. Moreover, the flexible Au/DW-45 bioscaffold arrays were employed to solve the vital problem of pesticide residues. By directly sampling from tomato peels via a “press and peel off” approach, cypermethrin has been rapidly and reliably determined with a LOD centered at 10−3 ng/cm2 and a correlation coefficient (R2) of 0.987. The positive results demonstrated that the Au-based DW biomimetic arrays may offer an efficient SERS platform for the identification of various pesticide residues on real samples. |
Databáze: | OpenAIRE |
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