Low-Copy Number Protein Detection by Electrode Nanogap-Enabled Dielectrophoretic Trapping for Surface-Enhanced Raman Spectroscopy and Electronic Measurements

Nano Letters ◽  
2014 ◽  
Vol 14 (5) ◽  
pp. 2242-2250 ◽  
Author(s):  
Leonardo Lesser-Rojas ◽  
Petra Ebbinghaus ◽  
Ganesh Vasan ◽  
Ming-Lee Chu ◽  
Andreas Erbe ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Copy Number ◽  
Protein Detection ◽  
Surface Enhanced Raman Spectroscopy ◽  
Surface Enhanced ◽  
Low Copy Number ◽  
Surface Enhanced Raman

scholarly journals SARS-CoV-2 Receptor Binding Domain as a Stable-Potential Target for SARS-CoV-2 Detection by Surface—Enhanced Raman Spectroscopy

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4617
Author(s):  
Chawki Awada ◽  
Mohammed Mahfoudh BA Abdullah ◽  
Hassan Traboulsi ◽  
Chahinez Dab ◽  
Adil Alshoaibi
Keyword(s):  
Raman Spectroscopy ◽  
Detection Limit ◽  
Protein A ◽  
Protein Detection ◽  
Surface Enhanced Raman Spectroscopy ◽  
Perfect Agreement ◽  
Antibody Recognition ◽  
Surface Enhanced ◽  
Single Protein ◽  
Surface Enhanced Raman

In this work, we report a new approach for detecting SARS-CoV-2 RBD protein (RBD) using the surface-enhanced Raman spectroscopy (SERS) technique. The optical enhancement was obtained thanks to the preparation of nanostructured Ag/Au substrates. Fabricated Au/Ag nanostructures were used in the SERS experiment for RBD protein detection. SERS substrates show higher capabilities and sensitivity to detect RBD protein in a short time (3 s) and with very low power. We were able to push the detection limit of proteins to a single protein detection level of 1 pM. The latter is equivalent to 1 fM as a detection limit of viruses. Additionally, we have shown that the SERS technique was useful to figure out the presence of RBD protein on antibody functionalized substrates. In this case, the SERS detection was based on protein-antibody recognition, which led to shifts in the Raman peaks and allowed signal discrimination between RBD and other targets such as Bovine serum albumin (BSA) protein. A perfect agreement between a 3D simulated model based on finite element method and experiment was reported confirming the SERS frequency shift potential for trace proteins detection. Our results could open the way to develop a new prototype based on SERS sensitivity and selectivity for rapid detection at a very low concentration of virus and even at a single protein level.

Aptatag-Based Multiplexed Assay for Protein Detection by Surface-Enhanced Raman Spectroscopy

Small ◽  
2010 ◽  
Vol 6 (14) ◽  
pp. 1550-1557 ◽  
Author(s):  
Laura Fabris ◽  
Martin Schierhorn ◽  
Martin Moskovits ◽  
Guillermo C. Bazan
Keyword(s):  
Raman Spectroscopy ◽  
Protein Detection ◽  
Surface Enhanced Raman Spectroscopy ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

scholarly journals Surface Enhanced Raman Spectroscopy for Single Molecule Protein Detection

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Lamyaa M. Almehmadi ◽  
Stephanie M. Curley ◽  
Natalya A. Tokranova ◽  
Scott A. Tenenbaum ◽  
Igor K. Lednev
Keyword(s):  
Raman Spectroscopy ◽  
Single Molecule ◽  
Protein Detection ◽  
Surface Enhanced Raman Spectroscopy ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

Bacterial detection and differentiation via direct volatile organic compound sensing with surface enhanced Raman spectroscopy

2017 ◽  
Author(s):  
Caitlin S. DeJong ◽  
David I. Wang ◽  
Aleksandr Polyakov ◽  
Anita Rogacs ◽  
Steven J. Simske ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Bacterial Infections ◽  
Direct Detection ◽  
Point Of Care ◽  
Surface Enhanced Raman Spectroscopy ◽  
E Coli ◽  
Recent Emergence ◽  
Surface Enhanced ◽  
Volatile Organic ◽  
Surface Enhanced Raman

Through the direct detection of bacterial volatile organic compounds (VOCs), via surface enhanced Raman spectroscopy (SERS), we report here a reconfigurable assay for the identification and monitoring of bacteria. We demonstrate differentiation between highly clinically relevant organisms: <i>Escherichia coli</i>, <i>Enterobacter cloacae</i>, and <i>Serratia marcescens</i>. This is the first differentiation of bacteria via SERS of bacterial VOC signatures. The assay also detected as few as 10 CFU/ml of <i>E. coli</i> in under 12 hrs, and detected <i>E. coli</i> from whole human blood and human urine in 16 hrs at clinically relevant concentrations of 10<sup>3</sup> CFU/ml and 10<sup>4</sup> CFU/ml, respectively. In addition, the recent emergence of portable Raman spectrometers uniquely allows SERS to bring VOC detection to point-of-care settings for diagnosing bacterial infections.

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