Atmospheric oxidation and carbon contamination of silver and its effect on surface-enhanced Raman spectroscopy (SERS).
Atmospheric oxidation and carbon contamination of silver and its effect on surface-enhanced Raman spectroscopy (SERS).
复制标题
银色的大气氧化和碳污染及其对表面增强拉曼光谱法（SERS）的影响。
DOI：
10.1038/srep37192
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发表时间：
2016-11-16
影响因子：
4.6
通讯作者：
Vahimaa P
中科院分区：
文献类型：
--
作者：
Matikainen A;Nuutinen T;Itkonen T;Heinilehto S;Puustinen J;Hiltunen J;Lappalainen J;Karioja P;Vahimaa P
表面增强拉曼光谱（SERS）被认为是一种用于不同分析目的的非常有前途的技术。 SERS 的应用仍然相当有限，因为它的定量重复性相对较差，而且 SERS 对氧化非常敏感，这对银基 SERS 基底来说尤其是一个挑战。在这里，通过将银 SERS 基底暴露在实验室环境空气中来研究这些现象之间的联系。我们发现 SERS 强度在暴露后呈指数下降，从而导致强度标准偏差 (σ) 增加。在 5 小时的测量窗口内，SERS 强度已经下降了 60%，而 σ 从 7% 增加到 21%，增加了三倍。 SERS 结果得到元素分析的补充，表明氧化和大气碳污染与 SERS 强度的快速下降相一致。结果强调了 SERS 对大气污染的敏感性，以及它如何降低测量重复性——即使基材仅暴露在空气中很短的时间。
Surface-enhanced Raman spectroscopy (SERS) is considered a highly promising technology for different analytical purposes. The applications of SERS are still quite limited due its relatively poor quantitative repeatability and the fact that SERS is very sensitive to oxidation, which is a challenge especially with silver based SERS substrates. Here, the link between these phenomena is investigated by exposing silver SERS substrates to ambient laboratory air. We show that SERS intensity decreases exponentially after the exposure, which consequently leads to an increasing standard deviation (σ) in intensity. Within a five-hour measurement window, the SERS intensity already drops by 60%, while σ triples from 7% to 21%. The SERS results are supplemented by elemental analysis, which shows that oxidation and atmospheric carbon contamination coincide with the rapid SERS intensity decrease. The results emphasize how sensitive SERS is towards atmospheric contamination and how it can also reduce the measurement repeatability – even if the substrates are exposed to air just for a very short period of time.
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DOI：
10.1007/s11468-013-9660-5
发表时间：
2014
期刊：
Plasmonics (Norwell, Mass.)
影响因子：
--
作者：
Bauch M;Toma K;Toma M;Zhang Q;Dostalek J
通讯作者：
Dostalek J
影响因子：
3.3
作者：
Betz, Jordan F.;Yu, Wei W.;Rubloff, Gary W.
通讯作者：
Rubloff, Gary W.
影响因子：
5.7
作者：
Valley, Nicholas;Greeneltch, Nathan;Schatz, George C.
通讯作者：
Schatz, George C.
影响因子：
1.7
作者：
MANTEL, M;WIGHTMAN, JP
通讯作者：
WIGHTMAN, JP
影响因子：
7.4
作者：
Han, Yun;Lupitskyy, Robert;Sukhishvili, Svetlana
通讯作者：
Sukhishvili, Svetlana