scholarly journals A profile of volatile organic compounds in exhaled air as a potential non-invasive biomarker for liver cirrhosis

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Kirsten E. Pijls ◽  
Agnieszka Smolinska ◽  
Daisy M. A. E. Jonkers ◽  
Jan W. Dallinga ◽  
Ad A. M. Masclee ◽  
...  
2014 ◽  
Vol 60 (1) ◽  
pp. S415
Author(s):  
K.E. Pijls ◽  
A. Smolinska ◽  
D.M.A.E. Jonkers ◽  
E.J.C. Moonen ◽  
J.W. Dallinga ◽  
...  

2009 ◽  
Vol 136 (5) ◽  
pp. A-35 ◽  
Author(s):  
Alexander Bodelier ◽  
Marie J. Pierik ◽  
Jan W. Dallinga ◽  
Joep Van Berkel ◽  
Edwin Moonen ◽  
...  

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 584
Author(s):  
Kelvin de Jesús Beleño-Sáenz ◽  
Juan Martín Cáceres-Tarazona ◽  
Pauline Nol ◽  
Aylen Lisset Jaimes-Mogollón ◽  
Oscar Eduardo Gualdrón-Guerrero ◽  
...  

More effective methods to detect bovine tuberculosis, caused by Mycobacterium bovis, in wildlife, is of paramount importance for preventing disease spread to other wild animals, livestock, and human beings. In this study, we analyzed the volatile organic compounds emitted by fecal samples collected from free-ranging wild boar captured in Doñana National Park, Spain, with an electronic nose system based on organically-functionalized gold nanoparticles. The animals were separated by the age group for performing the analysis. Adult (>24 months) and sub-adult (12–24 months) animals were anesthetized before sample collection, whereas the juvenile (<12 months) animals were manually restrained while collecting the sample. Good accuracy was obtained for the adult and sub-adult classification models: 100% during the training phase and 88.9% during the testing phase for the adult animals, and 100% during both the training and testing phase for the sub-adult animals, respectively. The results obtained could be important for the further development of a non-invasive and less expensive detection method of bovine tuberculosis in wildlife populations.


2008 ◽  
Vol 861 (1) ◽  
pp. 101-107 ◽  
Author(s):  
J.J.B.N. Van Berkel ◽  
J.W. Dallinga ◽  
G.M. Möller ◽  
R.W.L. Godschalk ◽  
E. Moonen ◽  
...  

2015 ◽  
Vol 21 (8) ◽  
pp. 1776-1785 ◽  
Author(s):  
Alexander G. L. Bodelier ◽  
Agnieszka Smolinska ◽  
Agnieszka Baranska ◽  
Jan W. Dallinga ◽  
Zlatan Mujagic ◽  
...  

2022 ◽  
Author(s):  
Dominique GRANDJEAN ◽  
Dorsaf SLAMA ◽  
Capucine GALLET ◽  
Clothilde JULIEN ◽  
Emilie SEYRAT ◽  
...  

Objectives: Dogs can be trained to identify several substances not detected by humans, corresponding to specific volatile organic compounds (VOCs). The presence of VOCs, triggered by SARS-CoV-2 infection, was tested in sweat from Long COVID patients. Patients and methods: An axillary sweat sample of Long COVID patients and of COVID-19 negative, asymptomatic individuals was taken at home to avoid any hospital contact. Swabs were randomly placed in olfaction detection cones, and the material sniffed by at least 2 trained dogs. Results: Forty-five Long COVID patients, mean age 45 (6-71), 73.3% female, with prolonged symptoms evolving for a mean of 15.2 months (5-22) were tested. Dogs discriminated in a positive way 23/45 (51.1%) Long COVID patients versus 0/188 (0%) control individuals (p<.0001). Conclusion:This study suggests the persistence of a viral infection in some Long COVID patients and the possibility of providing a simple, highly sensitive, non-invasive test to detect viral presence, during acute and extended phases of COVID-19.


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