scholarly journals Non-invasive Detection of Bladder Tumors Through Volatile Organic Compounds: A Pilot Study with an Electronic Nose

2018 ◽  
Vol 38 (2) ◽  
Keyword(s):  
Pilot Study ◽  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Electronic Nose ◽  
Bladder Tumors ◽  
Non Invasive ◽  
Volatile Organic

scholarly journals Non-Invasive Method to Detect Infection with Mycobacterium tuberculosis Complex in Wild Boar by Measurement of Volatile Organic Compounds Obtained from Feces with an Electronic Nose System

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 ◽  
...  
Keyword(s):  
Volatile Organic Compounds ◽  
Wild Boar ◽  
Organic Compounds ◽  
Electronic Nose ◽  
Bovine Tuberculosis ◽  
Human Beings ◽  
Non Invasive ◽  
Testing Phase ◽  
Volatile Organic ◽  
Electronic Nose System

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.

scholarly journals Non-Invasive Diagnosis of Diabetes by Volatile Organic Compounds in Urine Using FAIMS and Fox4000 Electronic Nose

Biosensors ◽  
2018 ◽  
Vol 8 (4) ◽  
pp. 121 ◽  
Author(s):  
Siavash Esfahani ◽  
Alfian Wicaksono ◽  
Ella Mozdiak ◽  
Ramesh Arasaradnam ◽  
James Covington
Keyword(s):  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Electronic Nose ◽  
Area Under The Curve ◽  
Urine Samples ◽  
Support Vector ◽  
Sparse Logistic Regression ◽  
Non Invasive ◽  
Volatile Organic ◽  
Sample Age

The electronic nose (eNose) is an instrument designed to mimic the human olfactory system. Usage of eNose in medical applications is more popular than ever, due to its low costs and non-invasive nature. The eNose sniffs the gases and vapours that emanate from human waste (urine, breath, and stool) for the diagnosis of variety of diseases. Diabetes mellitus type 2 (DM2) affects 8.3% of adults in the world, with 43% being underdiagnosed, resulting in 4.9 million deaths per year. In this study, we investigated the potential of urinary volatile organic compounds (VOCs) as novel non-invasive diagnostic biomarker for diabetes. In addition, we investigated the influence of sample age on the diagnostic accuracy of urinary VOCs. We analysed 140 urine samples (73 DM2, 67 healthy) with Field-Asymmetric Ion Mobility Spectrometry (FAIMS); a type of eNose; and FOX 4000 (AlphaM.O.S, Toulouse, France). Urine samples were collected at UHCW NHS Trust clinics over 4 years and stored at −80 °C within two hours of collection. Four different classifiers were used for classification, specifically Sparse Logistic Regression, Random Forest, Gaussian Process, and Support Vector on both FAIMS and FOX4000. Both eNoses showed their capability of diagnosing DM2 from controls and the effect of sample age on the discrimination. FAIMS samples were analysed for all samples aged 0–4 years (AUC: 88%, sensitivity: 87%, specificity: 82%) and then sub group samples aged less than a year (AUC (Area Under the Curve): 94%, Sensitivity: 92%, specificity: 100%). FOX4000 samples were analysed for all samples aged 0–4 years (AUC: 85%, sensitivity: 77%, specificity: 85%) and a sub group samples aged less than 18 months: (AUC: 94%, sensitivity: 90%, specificity: 89%). We demonstrated that FAIMS and FOX 4000 eNoses can discriminate DM2 from controls using urinary VOCs. In addition, we showed that urine sample age affects discriminative accuracy.

Sa1075 Volatile Organic Compounds in Blood for Non-Invasive Diagnosis of Barrett's Esophagus - A Pilot Study

2015 ◽  
Vol 148 (4) ◽  
pp. S-215-S-216
Author(s):  
Amit Bhatt ◽  
Mansour A. Parsi ◽  
Scott L. Gabbard ◽  
Arthi Kumaravel ◽  
David Grove ◽  
...  
Keyword(s):  
Pilot Study ◽  
Volatile Organic Compounds ◽  
Barrett’S Esophagus ◽  
Organic Compounds ◽  
Barrett's Esophagus ◽  
Non Invasive ◽  
Volatile Organic

955 Volatile Organic Compounds in Urine for Non-Invasive Diagnosis of Malignant Biliary Strictures: A Pilot Study

2015 ◽  
Vol 148 (4) ◽  
pp. S-186
Author(s):  
Udayakumar Navaneethan ◽  
Mansour A. Parsi ◽  
Dennisdhilak Lourdusamy ◽  
David Grove ◽  
Madhusudhan R. Sanaka ◽  
...  
Keyword(s):  
Pilot Study ◽  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Biliary Strictures ◽  
Non Invasive ◽  
Volatile Organic

Discriminative detection of volatile organic compounds using an electronic nose based on TiO2 hybrid nanostructures

2021 ◽  
pp. 130124
Author(s):  
Patrick P. Conti ◽  
Rafaela S. Andre ◽  
Luiza A. Mercante ◽  
Lucas Fugikawa-Santos ◽  
Daniel S. Correa
Keyword(s):  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Electronic Nose ◽  
Hybrid Nanostructures ◽  
Volatile Organic

Impact of hemodialysis on exhaled volatile organic compounds in end-stage renal disease: a pilot study

Nanomedicine ◽  
2014 ◽  
Vol 9 (7) ◽  
pp. 1035-1045 ◽  
Author(s):  
Suheir Assady ◽  
Ophir Marom ◽  
Matan Hemli ◽  
Radu Ionescu ◽  
Raneen Jeries ◽  
...  
Keyword(s):  
Pilot Study ◽  
Volatile Organic Compounds ◽  
Renal Disease ◽  
Organic Compounds ◽  
End Stage Renal Disease ◽  
Volatile Organic ◽  
Stage Renal Disease ◽  
End Stage

scholarly journals Influence of age and gender on the profile of exhaled volatile organic compounds analyzed by an electronic nose

2016 ◽  
Vol 42 (2) ◽  
pp. 143-145 ◽  
Author(s):  
Silvano Dragonieri ◽  
Vitaliano Nicola Quaranta ◽  
Pierluigi Carratu ◽  
Teresa Ranieri ◽  
Onofrio Resta
Keyword(s):  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Electronic Nose ◽  
Principal Component ◽  
Exhaled Breath ◽  
Age And Gender ◽  
Volatile Organic ◽  
Older Subjects ◽  
Never Smokers ◽  
And Gender

We aimed to investigate the effects of age and gender on the profile of exhaled volatile organic compounds. We evaluated 68 healthy adult never-smokers, comparing them by age and by gender. Exhaled breath samples were analyzed by an electronic nose (e-nose), resulting in "breathprints". Principal component analysis and canonical discriminant analysis showed that older subjects (≥ 50 years of age) could not be distinguished from younger subjects on the basis of their breathprints, as well as that the breathprints of males could not distinguished from those of females (cross-validated accuracy, 60.3% and 57.4%, respectively).Therefore, age and gender do not seem to affect the overall profile of exhaled volatile organic compounds measured by an e-nose.

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