Metal-oxide surface-enhanced Raman biosensor template towards point-of-care EGFR detection and cancer diagnostics

2020 ◽  
Vol 5 (2) ◽  
pp. 294-307 ◽  
Author(s):  
Meysam Keshavarz ◽  
Panagiotis Kassanos ◽  
Bo Tan ◽  
Krishnan Venkatakrishnan
Keyword(s):  
Metal Oxide ◽  
Oxygen Vacancies ◽  
Point Of Care ◽  
Cancer Diagnostics ◽  
Oxide Surface ◽  
Metal Oxide Surface ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

Schematic illustration shows remarkable SERS activities of self-doped Q-structured TiOx with oxygen vacancies compared to the Q-structured TiO2.

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.

scholarly journals Surface enhanced Raman scattering of extracellular vesicles for cancer diagnostics despite isolation dependent lipoprotein contamination

Nanoscale ◽  
2021 ◽  
Author(s):  
Hanna Koster ◽  
Tatu Rojalin ◽  
Alyssa Powell ◽  
Dina Pham ◽  
Rachel Mizenko ◽  
...  
Keyword(s):  
Raman Scattering ◽  
Extracellular Vesicles ◽  
Surface Enhanced Raman Scattering ◽  
Cancer Diagnostics ◽  
Diagnostic Utility ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Enhanced Raman Scattering ◽  
Particle Counts

Given the emerging diagnostic utility of extracellular vesicles (EVs), it is important to account for non-EV contaminants. Lipoprotein present in EV-enriched isolates may inflate particle counts and decrease sensitivity to...

scholarly journals Effects of metal oxide surface doping with phosphonic acid monolayers on alcohol dehydration activity and selectivity

2019 ◽  
Vol 571 ◽  
pp. 102-106 ◽  
Author(s):  
Lucas D. Ellis ◽  
Jordi Ballesteros-Soberanas ◽  
Daniel K. Schwartz ◽  
J. Will Medlin
Keyword(s):  
Metal Oxide ◽  
Phosphonic Acid ◽  
Oxide Surface ◽  
Alcohol Dehydration ◽  
Metal Oxide Surface ◽  
Surface Doping

scholarly journals Surface-Enhanced Raman Scattering-Based Lateral-Flow Immunoassay

Nanomaterials ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 2228
Author(s):  
Boris Khlebtsov ◽  
Nikolai Khlebtsov
Keyword(s):  
Raman Scattering ◽  
Point Of Care ◽  
Surface Enhanced Raman Scattering ◽  
Environmental Safety ◽  
Lateral Flow ◽  
Wide Range ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Enhanced Raman Scattering ◽  
Low Sensitivity

Lateral flow immunoassays (LFIAs) have been developed and used in a wide range of applications, in point-of-care disease diagnoses, environmental safety, and food control. However, in its classical version, it has low sensitivity and can only perform semiquantitative detection, based on colorimetric signals. Over the past decade, surface-enhanced Raman scattering (SERS) tags have been developed in order to decrease the detection limit and enable the quantitative analysis of analytes. Of note, these tags needed new readout systems and signal processing algorithms, while the LFIA design remained unchanged. This review highlights SERS strategies of signal enhancement for LFIAs. The types of labels used, the possible gain in sensitivity from their use, methods of reading and processing the signal, and the prospects for use are discussed.

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