Classification of Field Asymmetric Ion Mobility Spectrometry Data for Detection of Bowel Bacteria

Author(s):  
Julian W. Gardner ◽  
James McIntosh ◽  
Natalie Ouaret ◽  
Peter Gold ◽  
Chuka Nwokolo ◽  
...  
2009 ◽  
Author(s):  
A. Langmeier ◽  
W. Heep ◽  
C. Oberhuettinger ◽  
H. Oberpriller ◽  
M. Kessler ◽  
...  

2011 ◽  
Vol 22 (7) ◽  
pp. 1156-1156
Author(s):  
Alexandre A. Shvartsburg ◽  
Giorgis Isaac ◽  
Nathalie Leveque ◽  
Richard D. Smith ◽  
Thomas O. Metz

Foods ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1288
Author(s):  
María García-Nicolás ◽  
Natalia Arroyo-Manzanares ◽  
Lourdes Arce ◽  
Manuel Hernández-Córdoba ◽  
Pilar Viñas

Due to its multiple advantages, ion mobility spectrometry (IMS) is being considered as a complementary technique to mass spectrometry (MS). The goal of this work is to investigate and compare the capacity of IMS and MS in the classification of olive oil according to its quality. For this purpose, two analytical methods based on headspace gas chromatography (HS-GC) coupled with MS or with IMS have been optimized and characterized for the determination of volatile organic compounds from olive oil samples. Both detectors were compared in terms of sensitivity and selectivity, demonstrating that complementary data were obtained and both detectors have proven to be complementary. MS and IMS showed similar selectivity (10 out of 38 compounds were detected by HS-GC-IMS, whereas twelve compounds were detected by HS-GC-MS). However, IMS presented slightly better sensitivity (Limits of quantification (LOQ) ranged between 0.08 and 0.8 µg g−1 for HS-GC-IMS, and between 0.2 and 2.1 µg g−1 for HS-GC-MS). Finally, the potential of both detectors coupled with HS-GC for classification of olive oil samples depending on its quality was investigated. In this case, similar results were obtained when using both HS-GC-MS and HS-GC-IMS equipment (85.71 % of samples of the external validation set were classified correctly (validation rate)) and, although both techniques were shown to be complementary, data fusion did not improve validation results (80.95% validation rate).


2015 ◽  
Vol 87 (2) ◽  
pp. 869-875 ◽  
Author(s):  
Ewa Szymańska ◽  
Emma Brodrick ◽  
Mark Williams ◽  
Antony N. Davies ◽  
Henk-Jan van Manen ◽  
...  

2011 ◽  
Vol 22 (7) ◽  
pp. 1146-1155 ◽  
Author(s):  
Alexandre A. Shvartsburg ◽  
Giorgis Isaac ◽  
Nathalie Leveque ◽  
Richard D. Smith ◽  
Thomas O. Metz

2009 ◽  
Author(s):  
A. Langmeier ◽  
C. Oberhuettinger ◽  
W. Heep ◽  
H. Oberpriller ◽  
S. Beer ◽  
...  

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