Point-of-care diagnosis of Urinary Tract Infection (UTI) using Surface enhanced Raman Spectroscopy (SERS)

2012 ◽  
Author(s):  
Katerina Hadjigeorgiou ◽  
Evdokia Kastanos ◽  
Alexandros Kyriakides ◽  
Costas Pitris
Keyword(s):  
Raman Spectroscopy ◽  
Urinary Tract Infection ◽  
Urinary Tract ◽  
Tract Infection ◽  
Point Of Care ◽  
Surface Enhanced Raman Spectroscopy ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

scholarly journals Diagnosis of Bacterial Pathogens in the Urine of Urinary-Tract-Infection Patients Using Surface-Enhanced Raman Spectroscopy

Molecules ◽  
2018 ◽  
Vol 23 (12) ◽  
pp. 3374 ◽  
Author(s):  
Ni Tien ◽  
Tzu-Hsien Lin ◽  
Zen-Chao Hung ◽  
Hsiu-Shen Lin ◽  
I-Kuan Wang ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Urinary Tract Infection ◽  
Raman Spectrum ◽  
Urinary Tract ◽  
Tract Infection ◽  
Surface Enhanced Raman Spectroscopy ◽  
Bacteria Identification ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Recognition Software

(1) Background: surface-enhanced Raman spectroscopy (SERS) is a novel method for bacteria identification. However, reported applications of SERS in clinical diagnosis are limited. In this study, we used cylindrical SERS chips to detect urine pathogens in urinary tract infection (UTI) patients. (2) Methods: Urine samples were retrieved from 108 UTI patients. A 10 mL urine sample was sent to conventional bacterial culture as a reference. Another 10 mL urine sample was loaded on a SERS chip for bacteria identification and antibiotic susceptibility. We concentrated the urine specimen if the intensity of the Raman spectrum required enhancement. The resulting Raman spectrum was analyzed by a recognition software to compare with spectrum-form reference bacteria and was further confirmed by principal component analysis (PCA). (3) Results: There were 97 samples with single bacteria species identified by conventional urine culture and, among them, 93 can be successfully identified by using SERS without sample concentration. There were four samples that needed concentration for bacteria identification. Antibiotic susceptibility can also be found by SERS. There were seven mixed flora infections found by conventional culture, which can only be identified by the PCA method. (4) Conclusions: SERS can be used in the diagnosis of urinary tract infection with the aid of the recognition software and PCA.

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 Recent Advancement in the Surface-Enhanced Raman Spectroscopy-Based Biosensors for Infectious Disease Diagnosis

2019 ◽  
Vol 9 (7) ◽  
pp. 1448 ◽  
Author(s):  
Logan Hamm ◽  
Amira Gee ◽  
A. Swarnapali De Silva Indrasekara
Keyword(s):  
Raman Spectroscopy ◽  
Bacterial Infections ◽  
Neglected Tropical Diseases ◽  
Point Of Care ◽  
Disease Diagnosis ◽  
Surface Enhanced Raman Spectroscopy ◽  
Biomarker Detection ◽  
Disease Biomarker ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

Diagnosis is the key component in disease elimination to improve global health. However, there is a tremendous need for diagnostic innovation for neglected tropical diseases that largely consist of mosquito-borne infections and bacterial infections. Early diagnosis of these infectious diseases is critical but challenging because the biomarkers are present at low concentrations, demanding bioanalytical techniques that can deliver high sensitivity with ensured specificity. Owing to the plasmonic nanomaterials-enabled high detection sensitivities, even up to single molecules, surface-enhanced Raman spectroscopy (SERS) has gained attention as an optical analytical tool for early disease biomarker detection. In this mini-review, we highlight the SERS-based assay development tailored to detect key types of biomarkers for mosquito-borne and bacterial infections. We discuss in detail the variations of SERS-based techniques that have developed to afford qualitative and quantitative disease biomarker detection in a more accurate, affordable, and field-transferable manner. Current and emerging challenges in the advancement of SERS-based technologies from the proof-of-concept phase to the point-of-care phase are also briefly discussed.

LOC-SERS: towards point-of-care diagnostic of methotrexate

2014 ◽  
Vol 6 (12) ◽  
pp. 3943-3947 ◽  
Author(s):  
I. J. Hidi ◽  
A. Mühlig ◽  
M. Jahn ◽  
F. Liebold ◽  
D. Cialla ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Therapeutic Range ◽  
Point Of Care ◽  
Lab On A Chip ◽  
Surface Enhanced Raman Spectroscopy ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

Methotrexate (MTX), an antifolate antibiotic, is detected using a lab-on-a-chip device via surface enhanced Raman spectroscopy (LOC-SERS) in the therapeutic range of 10 μm to 0.1 μm.

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