scholarly journals PLA/PHA-Biodegradable Blends for Pneumothermic Fabrication of Nonwovens

2016 ◽  
Vol 16 (3) ◽  
pp. 119-127 ◽  
Author(s):  
Krzysztofa Szuman ◽  
Izabella Krucińska ◽  
Maciej Boguń ◽  
Zbigniew Draczyński
Keyword(s):  
Mechanical Properties ◽  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Chemical Structure ◽  
Wide Spectrum ◽  
Physical And Mechanical Properties ◽  
Polymer Composition ◽  
Attenuated Total Reflectance ◽  
Total Reflectance ◽  
The Fourier Transform

Abstract This study presents the results of research concerning fabrication of nonwovens from biodegradable polymer blends using the melt-blown method. The experiments performed within the framework of the research confirmed the possibility of obtaining polymer composites based on polylactide (PLA) with poly(hydroxyalkanoates) (PHA) and another aliphatic-aromatic copolyester. The obtained products were subjected to the analyses of chemical structure using the Fourier Transform Infrared Spectroscopy(FTIR) Attenuated Total Reflectance(ATR) method. The physical and mechanical properties of the fabricated nonwoven layers were also tested, which confirmed a wide spectrum of their applicability, depending on the polymer composition used in production.

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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