scholarly journals Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy and Artificial Neural Networks Applied to DifferentiateEscherichia colipapG+/papG-Strains

2013 ◽  
Vol 2013 ◽  
pp. 1-3 ◽  
Author(s):  
Łukasz Lechowicz ◽  
Wioletta Adamus-Białek ◽  
Wiesław Kaca
Keyword(s):  
Escherichia Coli ◽  
Neural Networks ◽  
Fourier Transform ◽  
Artificial Neural Networks ◽  
Infrared Spectroscopy ◽  
Fourier Transform Infrared Spectroscopy ◽  
Fourier Transform Infrared ◽  
Attenuated Total Reflectance ◽  
Total Reflectance ◽  
Ft Ir

Fimbriae are an important pathogenic factor ofEscherichia coliduring development of urinary tract infections. Here, we describe a new method for identification ofEscherichia colipapG+frompapG-strains using the attenuated total reflectance Fourier transform infrared Spectroscopy (ATR FT-IR). We applied artificial neural networks to the analysis of the ATR FT-IR results. These methods allowed to discriminateE. colipapG+frompapG-strains with accuracy of 99%.

A green method for the quantitative assessment of neutral oil in palm fatty acid distillates by single bounce attenuated total reflectance Fourier-transform infrared spectroscopy

RSC Advances ◽  
2015 ◽  
Vol 5 (62) ◽  
pp. 50591-50596 ◽  
Author(s):  
Muhammad Afzal Kamboh ◽  
Abdul Sattar Chang ◽  
Wan Aini Wan Ibrahim ◽  
Mohd Marsin Sanagi ◽  
Sarfaraz Ahmed Mahesar ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Fatty Acid ◽  
Fourier Transform Infrared Spectroscopy ◽  
Quantitative Assessment ◽  
Fourier Transform Infrared ◽  
Attenuated Total Reflectance ◽  
Green Method ◽  
Total Reflectance ◽  
Ft Ir

Green, reliable, rapid and novel SB-ATR FT-IR method has been reported in which only one drop of sample is required, and less than 2 min are required to take results for the quantitative assessment of neutral oil present in PFAD.

scholarly journals Correction: Detecting antimicrobial resistance in Escherichia coli using benchtop attenuated total reflectance-Fourier transform infrared spectroscopy and machine learning

The Analyst ◽  
2021 ◽  
Author(s):  
Hewa G. S. Wijesinghe ◽  
Dominic J. Hare ◽  
Ahmed Mohamed ◽  
Alok K. Shah ◽  
Patrick N. A. Harris ◽  
...  
Keyword(s):  
Machine Learning ◽  
Escherichia Coli ◽  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Antimicrobial Resistance ◽  
Fourier Transform Infrared Spectroscopy ◽  
Fourier Transform Infrared ◽  
Attenuated Total Reflectance ◽  
Total Reflectance

Correction for ‘Detecting antimicrobial resistance in Escherichia coli using benchtop attenuated total reflectance-Fourier transform infrared spectroscopy and machine learning’ by Hewa G. S. Wijesinghe et al., Analyst, 2021, DOI: 10.1039/d1an00546d.

Quick determination and discrimination of commercial hand sanitisers using attenuated total reflectance-Fourier transform infrared spectroscopy and chemometrics

2021 ◽  
Vol 13 (13) ◽  
pp. 1601-1611
Author(s):  
Way Koon Teoh ◽  
Noor Zuhartini Md Muslim ◽  
Md Lukmi Ismail ◽  
Kah Haw Chang ◽  
Ahmad Fahmi Lim Abdullah
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Fourier Transform Infrared Spectroscopy ◽  
Fourier Transform Infrared ◽  
Attenuated Total Reflectance ◽  
Forensic Investigation ◽  
Total Reflectance ◽  
Quick Determination

Quick determination and discrimination of commercial hand sanitisers for forensic investigation.

Discrimination of clinically relevant Candida species by Fourier-transform infrared spectroscopy with attenuated total reflectance (FTIR-ATR)

RSC Advances ◽  
2016 ◽  
Vol 6 (94) ◽  
pp. 92065-92072 ◽  
Author(s):  
Sónia Silva ◽  
Flávia Tobaldini-Valerio ◽  
Sofia Costa-de-Oliveira ◽  
Mariana Henriques ◽  
Joana Azeredo ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Fourier Transform Infrared Spectroscopy ◽  
Species Identification ◽  
Candida Species ◽  
Fourier Transform Infrared ◽  
Attenuated Total Reflectance ◽  
Total Reflectance ◽  
Reflectance Ftir

Accurate Candida species identification remains a challenge due to their phenotypic and genotypic similarity.

Detecting antimicrobial resistance in Escherichia coli using benchtop attenuated total reflectance-Fourier transform infrared spectroscopy and machine learning

The Analyst ◽  
2021 ◽  
Vol 146 (20) ◽  
pp. 6211-6219
Author(s):  
Hewa G. S. Wijesinghe ◽  
Dominic J. Hare ◽  
Ahmed Mohamed ◽  
Alok K. Shah ◽  
Patrick N. A. Harris ◽  
...  
Keyword(s):  
Machine Learning ◽  
Escherichia Coli ◽  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Antimicrobial Resistance ◽  
Fourier Transform Infrared Spectroscopy ◽  
Attenuated Total Reflectance ◽  
Total Reflectance ◽  
E Coli ◽  
Machine Learning Model

ATR–FTIR with a machine learning model predicts ESBL genotype of unknown E. coli strains with 86.5% AUC.

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