Ultrasensitive Optical Fingerprinting of Biorelevant Molecules by Means of SERS-Mapping on Nanostructured Metasurfaces.

Ultrasensitive Optical Fingerprinting of Biorelevant Molecules by Means of SERS-Mapping on Nanostructured Metasurfaces.
复制标题

DOI:
10.3390/bios13010046
复制
发表时间:
2022-12-28
期刊:
Biosensors
影响因子:
--
通讯作者:
--
中科院分区:
其他
文献类型:
--
作者:

文献摘要

参考文献

被引文献

相似文献

与便携式(片上)传感器最相关的技术是表面增强拉曼散射(Sers)。这种策略在大(生物相关)分子和纳米物体的情况下崩溃,其Sers光谱对于“顺势疗法”浓度是不可再现的。我们建议通过SERS映射来解决这个问题。我们分析了相对“小”(孔雀石绿色(MG))和“大”(酞菁,H2Pc*)分子的Sers参数的分布。虽然“小”MG的光谱波动可以忽略不计,但对于“大”H2Pc* 观察到明显的光谱分布。我们发现,后者是由于相对于“热点”区域,这具有有限的大小,从而放大对应于不同分子部分的振动线的分子的随机排列。我们已经开发了一种方法,用于工程低成本的Sers基板优化的最佳增强效率和测量协议,以获得可靠的拉曼光谱,即使是一个可数的大分子随机分布在基板上。
The most relevant technique for portable (on-chip) sensors is Surface Enhanced Raman Scattering (SERS). This strategy crashes in the case of large (biorelevant) molecules and nano-objects, whose SERS spectra are irreproducible for “homeopathic” concentrations. We suggested solving this problem by SERS-mapping. We analyzed the distributions of SERS parameters for relatively “small” (malachite green (MG)) and “large” (phthalocyanine, H2Pc*) molecules. While fluctuations of spectra for “small” MG were negligible, noticeable distribution of spectra was observed for “large” H2Pc*. We show that the latter is due to a random arrangement of molecules with respect to “hot spot” areas, which have limited sizes, thus amplifying the lines corresponding to vibrations of different molecule parts. We have developed a method for engineering low-cost SERS substrates optimized for the best enhancement efficiency and a measurement protocol to obtain a reliable Raman spectrum, even for a countable number of large molecules randomly distributed over the substrate.
DOI: 10.1021/acs.jpclett.6b00986
发表时间: 2016-06-16
期刊: The journal of physical chemistry letters
影响因子: --
作者:
Benz F;Chikkaraddy R;Salmon A;Ohadi H;de Nijs B;Mertens J;Carnegie C;Bowman RW;Baumberg JJ
通讯作者: Baumberg JJ
DOI: 10.22184/1993-7296.fros.2021.15.8.622.641
发表时间: 2021-01-01
期刊: Photonics Russia
影响因子: --
作者:
Arzhanov, A. I.;Savostianov, A. O.;Naumov, A. V.
通讯作者: Naumov, A. V.
DOI: 10.1002/admt.201900999
发表时间: 2020-06-01
影响因子: 6.8
作者:
Ilchenko, Oleksii;Slipets, Roman;Boisen, Anja
通讯作者: Boisen, Anja
DOI: 10.1038/s41377-022-00709-8
发表时间: 2022-01-19
期刊: Light, science & applications
影响因子: --
作者:
Chikkaraddy R;Xomalis A;Jakob LA;Baumberg JJ
通讯作者: Baumberg JJ
DOI: 10.1038/s41467-018-03046-w
发表时间: 2018-02-09
影响因子: 16.6
作者:
Köker T;Tang N;Tian C;Zhang W;Wang X;Martel R;Pinaud F
通讯作者: Pinaud F