Wooden-tip electrospray ionization mass spectrometry for trace analysis of toxic and hazardous compounds in food samples

2015 ◽  
Vol 7 (14) ◽  
pp. 5886-5890 ◽  
Author(s):  
Bi-cheng Yang ◽  
Feng Wang ◽  
Wei Deng ◽  
Yang Zou ◽  
Fa-ying Liu ◽  
...  

Wooden-tip electrospray ionization (wooden-tip ESI) is applied to the rapid, in situ, direct qualitative and quantitative trace analysis of toxic and hazardous compounds in food samples.

2019 ◽  
Vol 48 (16) ◽  
pp. 5135-5139 ◽  
Author(s):  
Joachim Loup ◽  
Tobias Parchomyk ◽  
Stefan Lülf ◽  
Serhiy Demeshko ◽  
Franc Meyer ◽  
...  

A combination of electrospray-ionization mass spectrometry and Mössbauer spectroscopy was used to investigate the species generated in situ in highly enantioselective Fe/NHC-catalyzed C–H alkylations.


The Analyst ◽  
2020 ◽  
Vol 145 (20) ◽  
pp. 6625-6631
Author(s):  
Rongkun Lin ◽  
Qiao Lu ◽  
Zheng Lin ◽  
Wei Hang ◽  
Benli Huang

We present a strategy for the coupling of laser-induced acoustic desorption (LIAD) with electrospray ionization (ESI) mass spectrometry.


2013 ◽  
Vol 114 (11) ◽  
pp. 1544-1549 ◽  
Author(s):  
Jiangjiang Zhu ◽  
Heather D. Bean ◽  
Jaime Jiménez-Díaz ◽  
Jane E. Hill

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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