Surface-Enhanced Raman Scattering Fiber-Optic Sensor

1990 ◽  
Vol 44 (1) ◽  
pp. 63-69 ◽  
Author(s):  
J. M. Bello ◽  
T. Vo-Dinh
Keyword(s):  
Raman Scattering ◽  
Fiber Optic ◽  
Limit Of Detection ◽  
Spectral Characteristics ◽  
Surface Enhanced Raman Scattering ◽  
Fiber Optic Sensor ◽  
Optic Sensor ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Enhanced Raman Scattering

A fiber-optic system was developed for exciting and collecting surface-enhanced Raman scattering (SERS) signals generated from a sensing plate tip having silver-coated microparticles deposited on a glass support. Various fiber parameters, such as fiber type, fiber-substrate geometry, and other experimental parameters, were investigated to obtain the optimum conditions for the SERS fiber-optic device. In addition, analytical figures of merit relevant to the performance of the SERS fiber-optic sensor, such as SERS spectral characteristics, reproducibility, linear dynamic range, and limit of detection, were also investigated.

Surface enhanced Raman scattering fiber optic sensor as an ion selective optrode: the example of Cd2+detection

RSC Advances ◽  
2014 ◽  
Vol 4 (110) ◽  
pp. 64683-64687 ◽  
Author(s):  
Fansheng Cheng ◽  
Haibing Xu ◽  
Cong Wang ◽  
Zhengjun Gong ◽  
Changyu Tang ◽  
...  
Keyword(s):  
Raman Scattering ◽  
Fiber Optic ◽  
Surface Enhanced Raman Scattering ◽  
Fiber Optic Sensor ◽  
Optic Sensor ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Enhanced Raman Scattering

scholarly journals Direct Detection of Toxic Contaminants in Minimally Processed Food Products Using Dendritic Surface-Enhanced Raman Scattering Substrates

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2726 ◽  
Author(s):  
Hannah Dies ◽  
Maria Siampani ◽  
Carlos Escobedo ◽  
Aristides Docoslis
Keyword(s):  
Raman Scattering ◽  
Limit Of Detection ◽  
Screening Method ◽  
Food Products ◽  
Surface Enhanced Raman Scattering ◽  
Liquid Food ◽  
Minimally Processed ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Enhanced Raman Scattering

We present a method for the surface-enhanced Raman scattering (SERS)-based detection of toxic contaminants in minimally processed liquid food products, through the use of a dendritic silver nanostructure, produced through electrokinetic assembly of nanoparticles from solution. The dendritic nanostructure is produced on the surface of a microelectrode chip, connected to an AC field with an imposed DC bias. We apply this chip for the detection of thiram, a toxic fruit pesticide, in apple juice, to a limit of detection of 115 ppb, with no sample preprocessing. We also apply the chip for the detection of melamine, a toxic contaminant/food additive, to a limit of detection of 1.5 ppm in milk and 105 ppb in infant formula. All the reported limits of detection are below the recommended safe limits in food products, rendering this technique useful as a screening method to identify liquid food with hazardous amounts of toxic contaminants.

scholarly journals Ultrasensitive surface-enhanced Raman scattering detection in common fluids

2015 ◽  
Vol 113 (2) ◽  
pp. 268-273 ◽  
Author(s):  
Shikuan Yang ◽  
Xianming Dai ◽  
Birgitt Boschitsch Stogin ◽  
Tak-Sing Wong
Keyword(s):  
Raman Scattering ◽  
Limit Of Detection ◽  
High Specificity ◽  
Surface Enhanced Raman Scattering ◽  
Mapping Technique ◽  
Quantitative Detection ◽  
Specificity And Sensitivity ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Enhanced Raman Scattering

Detecting target analytes with high specificity and sensitivity in any fluid is of fundamental importance to analytical science and technology. Surface-enhanced Raman scattering (SERS) has proven to be capable of detecting single molecules with high specificity, but achieving single-molecule sensitivity in any highly diluted solutions remains a challenge. Here we demonstrate a universal platform that allows for the enrichment and delivery of analytes into the SERS-sensitive sites in both aqueous and nonaqueous fluids, and its subsequent quantitative detection of Rhodamine 6G (R6G) down to ∼75 fM level (10−15 mol⋅L−1). Our platform, termed slippery liquid-infused porous surface-enhanced Raman scattering (SLIPSERS), is based on a slippery, omniphobic substrate that enables the complete concentration of analytes and SERS substrates (e.g., Au nanoparticles) within an evaporating liquid droplet. Combining our SLIPSERS platform with a SERS mapping technique, we have systematically quantified the probability, p(c), of detecting R6G molecules at concentrations c ranging from 750 fM (p > 90%) down to 75 aM (10−18 mol⋅L−1) levels (p ≤ 1.4%). The ability to detect analytes down to attomolar level is the lowest limit of detection for any SERS-based detection reported thus far. We have shown that analytes present in liquid, solid, or air phases can be extracted using a suitable liquid solvent and subsequently detected through SLIPSERS. Based on this platform, we have further demonstrated ultrasensitive detection of chemical and biological molecules as well as environmental contaminants within a broad range of common fluids for potential applications related to analytical chemistry, molecular diagnostics, environmental monitoring, and national security.

Fiber-optic remote sensor for in situ surface-enhanced Raman scattering analysis

1990 ◽  
Vol 62 (22) ◽  
pp. 2437-2441 ◽  
Author(s):  
Job M. Bello ◽  
V. Anantha. Narayanan ◽  
David L. Stokes ◽  
. Vo Dinh Tuan
Keyword(s):  
Raman Scattering ◽  
Fiber Optic ◽  
Surface Enhanced Raman Scattering ◽  
Remote Sensor ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Enhanced Raman Scattering

scholarly journals Ag-Coated Cellulose Fibers as Surface-Enhanced Raman Scattering Substrates for Adsorptive Detection of Malachite Green

Materials ◽  
2018 ◽  
Vol 11 (7) ◽  
pp. 1197 ◽  
Author(s):  
Yudong Lu ◽  
Changji Wu ◽  
Yang Wu ◽  
Ruiyun You ◽  
Gang Lin ◽  
...  
Keyword(s):  
Raman Scattering ◽  
Malachite Green ◽  
Dynamic Range ◽  
Limit Of Detection ◽  
Cellulose Fibers ◽  
Surface Enhanced Raman Scattering ◽  
Ag Nps ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Enhanced Raman Scattering

Surface-enhanced Raman scattering (SERS) is a sensitive technique for the detection of low concentration analytes. In this study, we used cellulose fibers (CF) as the templates for the loading of silver nanoparticles (Ag NPs), and the obtained CF-Ag was applied in the detection of R6G and Malachite Green (MG) by surface-enhanced Raman scattering. The adsorption technique was employed in the sample preparation, and the optimal detecting status was identified in the dynamic range (sample status ranging from wet to dry) for different concentration of analytes. In comparison to Ag NPs, CF-Ag showed enhanced performance for adsorptive detection of Malachite Green, and the limit of detection was 5 × 10−12 M.

Surface-enhanced Raman scattering of uranyl in aqueous samples: implications for nuclear forensics and groundwater testing

2017 ◽  
Vol 9 (10) ◽  
pp. 1575-1579 ◽  
Author(s):  
M. J. Trujillo ◽  
D. M. Jenkins ◽  
J. A. Bradshaw ◽  
J. P. Camden
Keyword(s):  
Raman Scattering ◽  
Nuclear Forensics ◽  
Limit Of Detection ◽  
Surface Enhanced Raman Scattering ◽  
Uranyl Ions ◽  
Aqueous Samples ◽  
Silver Colloids ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Enhanced Raman Scattering

A surface-enhanced Raman scattering (SERS) method, based on functionalized silver colloids, is developed for the detection of uranyl ions that yields a limit of detection of 24 ppb.

scholarly journals Highly Reproducible Surface-Enhanced Raman Scattering Detection of Alternariol Using Silver-Embedded Silica Nanoparticles

Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3523 ◽  
Author(s):  
Eunil Hahm ◽  
Yoon-Hee Kim ◽  
Xuan-Hung Pham ◽  
Bong-Hyun Jun
Keyword(s):  
Raman Scattering ◽  
Silica Nanoparticles ◽  
Ag Nanoparticles ◽  
Limit Of Detection ◽  
Surface Enhanced Raman Scattering ◽  
Sers Signal ◽  
Relative Standard ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Enhanced Raman Scattering

Alternariol (AOH) is a mycotoxin from fungi that has been found in processed foods due to its high thermal stability. To address the complexity and costs of conventional AOH detection methods, we propose an alternative based on surface-enhanced Raman scattering (SERS) and specially designed nanoparticle substrate. Herein, silver-embedded silica (SiO2@Ag) nanoparticles with a highly reproducible SERS signal were successfully developed for detecting AOH. Silica nanoparticles (~145 nm) were used as a template to deposit silver nanoparticles (~17 nm), thereby generating SiO2@Ag. The SiO2@Ag nanoparticles showed a good linearity between SERS signal intensity and AOH concentrations from 16 to 1000 nM with a limit of detection of 4.83 nM. Additionally, the SERS signal of the SiO2@Ag nanoparticles was highly reproducible, with relative standard deviations of 2.33–5.95% in the AOH concentration range from 10 to 10,000 nM, demonstrating the reliability of the proposed SERS method.

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