Search

Your search keyword '"Sedman, Jacqueline"' showing total 134 results
Start Over Author "Sedman, Jacqueline"
134 results on '"Sedman, Jacqueline"'

5. Multicenter Evaluation of Attenuated Total Reflectance Fourier Transform Infrared (ATR-FTIR) Spectroscopy-Based Method for Rapid Identification of Clinically Relevant Yeasts

Author

Lam, Lisa M. T., primary, Ismail, Ashraf A., additional, Lévesque, Simon, additional, Dufresne, Simon F., additional, Cheng, Mathew P., additional, Vallières, Émilie, additional, Luong, Me-Linh, additional, Sedman, Jacqueline, additional, and Dufresne, Philippe J., additional

Published
2022
Full Text
View/download PDF

22. 2125. Staphylococcus Species Identification by Fourier Transform Infrared (FTIR) Spectroscopic Techniques: A Cross-Lab Study

Author

Tsutsumi, Tamao, primary, Shah, Alok, additional, Lam, Lisa M T, additional, Schlebusch, Sanmarie, additional, Krueger, Annika, additional, Frazer, Ian, additional, Hugenholtz, Phil, additional, Soyer, H Peter, additional, Morrison, Mark, additional, Hill, Michelle, additional, Sedman, Jacqueline, additional, and Ismail, Ashraf, additional

Published
2019
Full Text
View/download PDF

25. Evaluation of Fourier transform infrared spectroscopy for the rapid identification of glycopeptide-intermediate Staphylococcus aureus

Author

Amiali, Nassim M., Mulvey, Michael R., Berger-Bächi, Brigitte, Sedman, Jacqueline, Simor, Andrew E., Ismail, Ashraf A., Amiali, Nassim M., Mulvey, Michael R., Berger-Bächi, Brigitte, Sedman, Jacqueline, Simor, Andrew E., and Ismail, Ashraf A.

Abstract

Objectives To evaluate Fourier transform infrared (FTIR) spectroscopy as a rapid method for distinguishing glycopeptide-intermediate Staphylococcus aureus (GISA) from glycopeptide-susceptible methicillin-resistant S. aureus (MRSA) and to compare three data analysis methods. Methods First-derivative normalized spectra of dried films of bacterial growth on Que-Bact® Universal Medium No. 2 were examined by singular value decomposition to identify key spectral regions. Region selection was analysed by principal component analysis (PCA), self-organizing maps (SOMs) and the K-nearest neighbour (KNN) algorithm. The initial data set included 35 GISA (including GISA Mu50 and heterogeneous GISA Mu3) and 25 epidemic MRSA. The regions were then tested using enlarged data sets that included 22 sporadic and 85 additional epidemic MRSA. Results Epidemic MRSA and GISA/hGISA were separated into two distinct clusters on the basis of spectral data from regions 1352-1315 and 1480-1460 cm−1, the former providing 100% correct classification by all three analyses and the latter providing 96.67% correct by PCA, 98.34% by SOM and 100% by KNN. The 1480-1460 cm−1 region was more effective for distinguishing GISA/hGISA from a set combining sporadic and epidemic MRSA, with two GISA/hGISA and four sporadic MRSA misclassified by PCA and SOM (92.69% correct), while the KNN method misclassified three of the four sporadic MRSA (93.90% correct). The addition of 85 other epidemic MRSA this set increased the fraction of correctly classified isolates to 96.41% and 97.01% by PCA, SOM and KNN, respectively. Conclusions As only 6 of 167 isolates were misclassified, FTIR spectroscopy may provide means of rapid and accurate identification of GISA and hGISA among isolates of MRSA

Published
2017

49. Cis and trans components of lipids: Analysis by 1H NMR and silver shift reagents.

Author

Agiomyrgianaki, Alexia, Sedman, Jacqueline, Van de Voort, Frederik R., and Dais, Photis

Abstract

In this study, the methodology of shift reagents was exploited to distinguish cis and trans unsaturation in oils and fats. The differential binding of silver ions (in the form of AgFOD) to cis and trans double bonds allowed the separation of the allylic and olefinic proton signals in the 1H NMR spectra of mixtures of cis and trans methyl esters of monoene aliphatic acids and unsaturated triacylglycerol mixtures at low frequency spectrometers (300 MHz). Careful integration of the appropriate proton resonances in the recorded quantitative 1H NMR spectra afforded percentage concentrations in very good agreement with the actual values. This 1H NMR methodology was validated by analyzing AOCS Laboratory Proficiency Program GC samples containing various percentages of saturated, cis-mono unsaturated, and cis-polyunsaturated fat as well as trans content. This fast and relatively low-cost NMR methodology could be used on line for obtaining nutrition labeling compositional data (NLCD) required for fat-containing food products. Attempts to differentiate lipid molecules with different degree of unsaturation and positional distribution of cis double bonds were unsuccessful. [ABSTRACT FROM AUTHOR]

Published
2012
Full Text
View/download PDF

50. A new direct Fourier transform infrared analysis of free fatty acids in edible oils using spectral reconstitution.

Author

Xiuzhu Yu, van de Voort, F. R., Sedman, Jacqueline, and Jin-ming Gao

Subjects
FOURIER transform infrared spectroscopy, FATTY acids, CALIBRATION, ABSORPTION, SPECTRUM analysis
Abstract

new transmission-based Fourier transform infrared (FTIR) spectroscopic method for the direct determination of free fatty acids (FFA) in edible oils has been developed using the developed spectral reconstitution (SR) technique. Conventional neat-oil and SR calibrations were devised by spiking hexanoic acid into FFA-free canola oil and measuring the response to added FFA at 1,712 cm referenced to a baseline at 1,600 cm(1,712 cm/1,600 cm). To compensate for the known oil dependency of such calibration equations resulting from variation of the triacylglycerol ester (C═O) absorption with differences in oil saponification number (SN), a correction equation was devised by recording the spectra of blends of two FFA-free oils (canola and coconut) differing substantially in SN and correlating the intensity of the ester (C═O) absorption at the FFA measurement location with the intensity of the first overtone of this vibration, measured at 3,471 cm/3,427 cm. Further examination of the spectra of the oil blends by generalized 2D correlation spectroscopy revealed an additional strong correlation with an absorption in the near-infrared (NIR) combination band region, which led to the development of a second correction equation based on the absorbance at 4,258 cm/4,235 cm. The NIR-based correction equation yielded superior results and was shown to completely eliminate biases due to variations in oil SN, thereby making a single FFA calibration generally applicable to oils, regardless of SN. FTIR methodology incorporating this correction equation and employing the SR technique has been automated. [Figure not available: see fulltext.] [ABSTRACT FROM AUTHOR]

Published
2011
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results