私密直播全婐app免费大渔直播,国产av成人无码免费视频,男女同房做爰全过程高潮,国产精品自产拍在线观看

相關鏈接
聯系方式
  • 通信地址:山西省太原市學院路3號
  • 郵編:030051
  • 電話:0351-3069555
  • 傳真:
  • Email:hugh_wang@nuc.edu.cn
當前位置:> 首頁 > 論文著作 > 正文
Green synthesis of multi-dimensional plasmonic coupling structures: Graphene oxide gapped gold nanostars for highly intensified surface enhanced Raman scattering
作者:Bin Zhao, Zhi Wang, Yaqing Liu, et al
關鍵字:Surface enhanced Raman scattering, Multi-dimensional plasmonic coupling, Gold nanostar, Graphene oxide nanospacer
論文來源:期刊
具體來源:Chemical Engineering Journal
發表時間:2018年
Graphene-mediated surface-enhanced Raman scattering (SERS) substrates are currently explored for ultra-sensitive detection and expected to provide uniform SERS response by the virtue of graphene and plasmonic metal nanostructures. Here, we integrated graphene oxide (GO) and anisotropic metal nanostructures to create a novel multiple coupling system, in which ultrathin GO as nanospacer was sandwiched between two layers of closely packed gold nanostars (AuNSts). The sandwiched hybrid was prepared through alternative loading of AuNSts and graphene oxide (GO) ?lm via ?ltration and spin-coating methods in the absence of any polymer stabilizer or organic linkage agent. The morphologies and plasmon resonance of AuNSts could be tuned by simply adjusting the synthesis parameters. Due to the multi-dimensional plasmonic coupling in horizontally and vertically patterned AuNSts, extra chemical enhancement and outstanding molecule harvesting capability from GO interlayer, the as-prepared AuNSt-GO-AuNSt sandwich structures manifested ultrahigh sensitivity and ex-cellent reproducibility (the signal variations < 6%). A detection limit of rhodamine-6G (R6G) as low as 10?13 M and a high enhancement factor of 6.64 × 107 were achieved. Particularly, the AuNSt-GO-AuNSt system was applied to detect erythrosine B and chrysoidin down to 10?9 M as well as o?er spectroscopic identi?cation in complicated solutions, indicating great potential practical applications for the rapid and sensitive on-site monitoring, especially for food and environmental safety.
主站蜘蛛池模板: 陈巴尔虎旗| 太白县| 屏山县| 佳木斯市| 柳林县| 南岸区| 杭锦旗| 南召县| 高邮市| 博客| 荔波县| 略阳县| 南部县| 胶南市| 兴城市| 漳平市| 乌鲁木齐县| 蚌埠市| 洛浦县| 石城县| 鹿泉市| 鹰潭市| 大冶市| 乡城县| 库伦旗| 海林市| 泸州市| 和田县| 波密县| 木里| 东丰县| 灵璧县| 永新县| 沂南县| 蓬莱市| 无棣县| 博爱县| 东宁县| 祁连县| 化德县| 梓潼县|