Sensitive detection of drug vapors using an ion funnel interface for secondary electrospray ionization mass spectrometry

2012 ◽  
Vol 47 (5) ◽  
pp. 555-559 ◽  
Author(s):  
Lukas Meier ◽  
Christian Berchtold ◽  
Stefan Schmid ◽  
Renato Zenobi
Keyword(s):  
Mass Spectrometry ◽  
Electrospray Ionization ◽  
Electrospray Ionization Mass Spectrometry ◽  
Sensitive Detection ◽  
Ionization Mass Spectrometry ◽  
Ionization Mass ◽  
Secondary Electrospray Ionization ◽  
Ion Funnel

Extractive Electrospray Ionization Mass Spectrometry for Sensitive Detection of Uranyl Species in Natural Water Samples

2010 ◽  
Vol 82 (1) ◽  
pp. 282-289 ◽  
Author(s):  
Mingbiao Luo ◽  
Bin Hu ◽  
Xie Zhang ◽  
Daofeng Peng ◽  
Huanwen Chen ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Electrospray Ionization ◽  
Natural Water ◽  
Electrospray Ionization Mass Spectrometry ◽  
Water Samples ◽  
Sensitive Detection ◽  
Ionization Mass Spectrometry ◽  
Ionization Mass ◽  
Natural Water Samples

Profiling Aged Artisanal Cheddar Cheese Using Secondary Electrospray Ionization Mass Spectrometry

2015 ◽  
Vol 63 (17) ◽  
pp. 4386-4392 ◽  
Author(s):  
Heather D. Bean ◽  
Theodore R. Mellors ◽  
Jiangjiang Zhu ◽  
Jane E. Hill
Keyword(s):  
Mass Spectrometry ◽  
Electrospray Ionization ◽  
Electrospray Ionization Mass Spectrometry ◽  
Cheddar Cheese ◽  
Ionization Mass Spectrometry ◽  
Ionization Mass ◽  
Secondary Electrospray Ionization

Sensitive Detection of Native Proteins Using Extractive Electrospray Ionization Mass Spectrometry

2010 ◽  
Vol 122 (17) ◽  
pp. 3117-3120 ◽  
Author(s):  
Huanwen Chen ◽  
Shuiping Yang ◽  
Ming Li ◽  
Bin Hu ◽  
Jianqiang Li ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Electrospray Ionization ◽  
Electrospray Ionization Mass Spectrometry ◽  
Sensitive Detection ◽  
Ionization Mass Spectrometry ◽  
Ionization Mass ◽  
Native Proteins

scholarly journals Differentiation of oral bacteria in in vitro cultures and human saliva by secondary electrospray ionization – mass spectrometry

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Lukas Bregy ◽  
Annick R. Müggler ◽  
Pablo Martinez-Lozano Sinues ◽  
Diego García-Gómez ◽  
Yannick Suter ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Electrospray Ionization ◽  
Electrospray Ionization Mass Spectrometry ◽  
Human Saliva ◽  
Oral Bacteria ◽  
In Vitro Cultures ◽  
Ionization Mass Spectrometry ◽  
Ionization Mass ◽  
Secondary Electrospray Ionization

scholarly journals Secondary electrospray ionization-mass spectrometry (SESI-MS) breathprinting of multiple bacterial lung pathogens, a mouse model study

2013 ◽  
Vol 114 (11) ◽  
pp. 1544-1549 ◽  
Author(s):  
Jiangjiang Zhu ◽  
Heather D. Bean ◽  
Jaime Jiménez-Díaz ◽  
Jane E. Hill
Keyword(s):  
Mass Spectrometry ◽  
Electrospray Ionization ◽  
Principal Components ◽  
Electrospray Ionization Mass Spectrometry ◽  
Bacterial Pneumonia ◽  
Ionization Mass Spectrometry ◽  
Ionization Mass ◽  
Secondary Electrospray Ionization ◽  
Lung Infections

Bacterial pneumonia is one of the leading causes of disease-related morbidity and mortality in the world, in part because the diagnostic tools for pneumonia are slow and ineffective. To improve the diagnosis success rates and treatment outcomes for bacterial lung infections, we are exploring the use of secondary electrospray ionization-mass spectrometry (SESI-MS) breath analysis as a rapid, noninvasive method for determining the etiology of lung infections in situ. Using a murine lung infection model, we demonstrate that SESI-MS breathprints can be used to distinguish mice that are infected with one of seven lung pathogens: Haemophilus influenzae, Klebsiella pneumoniae, Legionella pneumophila, Moraxella catarrhalis, Pseudomonas aeruginosa, Staphylococcus aureus, and Streptococcus pneumoniae, representing the primary causes of bacterial pneumonia worldwide. After applying principal components analysis, we observed that with the first three principal components (primarily comprised of data from 14 peaks), all infections were separable via SESI-MS breathprinting ( P < 0.0001). Therefore, we have shown the potential of this SESI-MS approach for rapidly detecting and identifying acute bacterial lung infections in situ via breath analysis.

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