Optofluidic Surface Enhanced Raman Scattering Chip for Detection of Dengue Virus

Author(s):  
Yun Suk Huh ◽  
Aram J. Chung ◽  
Bernardo Cordovez ◽  
David Erickson

In this work we describe the development of an optofluidic device for surface enhanced Raman scattering (SERS) based detection of biological pathogens. The chip exploits the use of electro-active microwells which serve to both physically concentrate the Raman enhancers and to reduce the total analysis time through a unique electrokinetically driven on-chip mixing effect. To quantify the concentration performance of the device we use 44 nm polystyrene particles at low electric field strength (between 1.00–2.00 V) and demonstrate close to 90% concentration saturation within 2.5 s. We demonstrate the mixing capability through the enhanced detection of dengue virus serotype 2 (DENV-2). With DENV-2, we successfully detected the SERS signals with a limit of detection of 30 pM.

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2726 ◽  
Author(s):  
Hannah Dies ◽  
Maria Siampani ◽  
Carlos Escobedo ◽  
Aristides Docoslis

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.


1990 ◽  
Vol 44 (1) ◽  
pp. 63-69 ◽  
Author(s):  
J. M. Bello ◽  
T. Vo-Dinh

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.


2010 ◽  
Vol 82 (12) ◽  
pp. 5290-5295 ◽  
Author(s):  
Hyangah Chon ◽  
Chaesung Lim ◽  
Seung-Mo Ha ◽  
Yoomin Ahn ◽  
Eun Kyu Lee ◽  
...  

2015 ◽  
Vol 113 (2) ◽  
pp. 268-273 ◽  
Author(s):  
Shikuan Yang ◽  
Xianming Dai ◽  
Birgitt Boschitsch Stogin ◽  
Tak-Sing Wong

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.


Materials ◽  
2018 ◽  
Vol 11 (7) ◽  
pp. 1197 ◽  
Author(s):  
Yudong Lu ◽  
Changji Wu ◽  
Yang Wu ◽  
Ruiyun You ◽  
Gang Lin ◽  
...  

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.


2017 ◽  
Vol 9 (10) ◽  
pp. 1575-1579 ◽  
Author(s):  
M. J. Trujillo ◽  
D. M. Jenkins ◽  
J. A. Bradshaw ◽  
J. P. Camden

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.


Nanoscale ◽  
2011 ◽  
Vol 3 (9) ◽  
pp. 3760 ◽  
Author(s):  
Luca Malfatti ◽  
Paolo Falcaro ◽  
Benedetta Marmiroli ◽  
Heinz Amenitsch ◽  
Massimo Piccinini ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document