Detection of Volatile Compounds Correlated to Human Diseases Through Breath Analysis With Chemical Sensors

2001 ◽  
pp. 1746-1749
Author(s):  
Maximilian Fleischer ◽  
Elfriede Simon ◽  
Eva Rumpel ◽  
Heiko Ulmer ◽  
Mika Harbeck ◽  
...  
Keyword(s):  
Volatile Compounds ◽  
Chemical Sensors ◽  
Breath Analysis ◽  
Human Diseases

Detection of volatile compounds correlated to human diseases through breath analysis with chemical sensors

2002 ◽  
Vol 83 (1-3) ◽  
pp. 245-249 ◽  
Author(s):  
Maximilian Fleischer ◽  
Elfriede Simon ◽  
Eva Rumpel ◽  
Heiko Ulmer ◽  
Mika Harbeck ◽  
...  
Keyword(s):  
Volatile Compounds ◽  
Chemical Sensors ◽  
Breath Analysis ◽  
Human Diseases

scholarly journals Highly selective detection of methanol over ethanol by a handheld gas sensor

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
J. van den Broek ◽  
S. Abegg ◽  
S. E. Pratsinis ◽  
A. T. Güntner
Keyword(s):  
Gas Chromatography ◽  
Air Quality ◽  
Organ Failure ◽  
Gas Sensor ◽  
Chemical Sensors ◽  
Breath Analysis ◽  
Quality Monitoring ◽  
Selective Detection ◽  
Air Quality Monitoring ◽  
Proof Of Concept

Abstract Methanol poisoning causes blindness, organ failure or even death when recognized too late. Currently, there is no methanol detector for quick diagnosis by breath analysis or for screening of laced beverages. Typically, chemical sensors cannot distinguish methanol from the much higher ethanol background. Here, we present an inexpensive and handheld sensor for highly selective methanol detection. It consists of a separation column (Tenax) separating methanol from interferants like ethanol, acetone or hydrogen, as in gas chromatography, and a chemoresistive gas sensor (Pd-doped SnO2 nanoparticles) to quantify the methanol concentration. This way, methanol is measured within 2 min from 1 to 1000 ppm without interference of much higher ethanol levels (up to 62,000 ppm). As a proof-of-concept, we reliably measure methanol concentrations in spiked breath samples and liquor. This could enable the realization of highly selective sensors in emerging applications such as breath analysis or air quality monitoring.

Generation of volatile compounds on mouth exposure to urea and sucrose: implications for exhaled breath analysis

2005 ◽  
Vol 27 (2) ◽  
pp. N7-N17 ◽  
Author(s):  
Patrik Španěl ◽  
Claire Turner ◽  
Tianshu Wang ◽  
Roger Bloor ◽  
David Smith
Keyword(s):  
Volatile Compounds ◽  
Breath Analysis ◽  
Exhaled Breath ◽  
Exhaled Breath Analysis

scholarly journals Comparison of Different GC-MS Methods Used for the Volatile Compounds Identification from Commercial Apple Vinegar

2010 ◽  
Vol 67 (2) ◽  
Author(s):  
Delia Mihaela Truta ◽  
Maria TOFANA ◽  
Sonia Ancuta Socaci ◽  
Elena MUDURA
Keyword(s):  
Volatile Compounds ◽  
Sensory Characteristics ◽  
Human Diseases ◽  
Aroma Profile ◽  
Natural Treatment ◽  
Selection Of

Apple vinegar is increasingly used nowadays as a spice because its good sensory characteristics and also it is a natural treatment for different human diseases. Based on these facts knowing its aroma profile is essential for the evaluation and authentication of apple vinegar. This paper aims are the study of different GC-MS methods for the identification of volatile compounds from commercial apple vinegar; and the selection of the best method who will allow us the longer number of volatile compounds from our sample.

Sensors for Breath Analysis: An Advanced Approach to Express Diagnostics and Monitoring of Human Diseases

2010 ◽  
pp. 63-75 ◽  
Author(s):  
I. G. Kushch ◽  
N. M. Korenev ◽  
L. V. Kamarchuk ◽  
A. P. Pospelov ◽  
Y. L. Alexandrov ◽  
...  
Keyword(s):  
Breath Analysis ◽  
Human Diseases

scholarly journals Sensor-Embedded Face Masks for Detection of Volatiles in Breath: A Proof of Concept Study

Chemosensors ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 356
Author(s):  
Lorena Di Zazzo ◽  
Gabriele Magna ◽  
Martina Lucentini ◽  
Manuela Stefanelli ◽  
Roberto Paolesse ◽  
...  
Keyword(s):  
Volatile Compounds ◽  
Low Cost ◽  
Internal Surface ◽  
Breath Analysis ◽  
Proof Of Concept ◽  
Clinical Implementation ◽  
Complex Samples ◽  
Sensitivity Pattern ◽  
Optical Transducers ◽  
Bulky Mass

The correlation between breath volatilome and health is prompting a growing interest in the development of sensors optimized for breath analysis. On the other hand, the outbreak of COVID-19 evidenced that breath is a vehicle of infection; thus, the introduction of low-cost and disposable devices is becoming urgent for a clinical implementation of breath analysis. In this paper, a proof of concept about the functionalization of face masks is provided. Porphyrin-based sensors are among the most performant devices for breath analysis, but since porphyrins are scarcely conductive, they make use of costly and bulky mass or optical transducers. To overcome this drawback, we introduce here a hybrid material made of conducting polymer and porphyrins. The resulting material can be easily deposited on the internal surface of standard FFP face masks producing resistive sensors that retain the chemical sensitivity of porphyrins implementing their combinatorial selectivity for the identification of volatile compounds and the classification of complex samples. The sensitivity of sensors has been tested with respect to a set of seven volatile compounds representative of diverse chemical families. Sensors react to all compounds but with a different sensitivity pattern. Functionalized face masks have been tested in a proof-of-concept test aimed at identifying changes of breath due to the ingestion of beverages (coffee and wine) and solid food (banana- and mint-flavored candies). Results indicate that sensors can detect volatile compounds against the background of normal breath VOCs, suggesting the possibility to embed sensors in face masks for extensive breath analysis

Design and Evaluation of a Breath-Analysis System for Biological Monitoring of Volatile Compounds

2001 ◽  
Vol 62 (1) ◽  
pp. 28-35 ◽  
Author(s):  
Karla D. Thrall ◽  
Patrick J. Callahan ◽  
Karl K. Weitz ◽  
Jeffrey A. Edwards ◽  
Marielle C. Brinkman ◽  
...  
Keyword(s):  
Biological Monitoring ◽  
Volatile Compounds ◽  
Breath Analysis ◽  
Analysis System
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