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Characterization of Human Semen by GC-MS and VOC Sensor: An Unexplored Approach to the Study on Infertility
- Source :
- Lecture Notes in Electrical Engineering ISBN: 9783030043230, Sensors
- Publication Year :
- 2019
- Publisher :
- Springer, Cham, 2019.
-
Abstract
- Infertility is one of principal health and social problems of this century. Male factors are involved in half of the cases and often the alteration concerns sperm motility. Seminogram is the gold standard technique for semen analysis, but it presents several limits. For this reason, we propose a new method for discriminating asthenozoospermic samples (low sperm motility) from normozoospermic ones (progressive motility > 32%) based on the never explored analysis of the volatile metabolites in the headspace of human semen sample by Gas Chromatograph (GC) equipped with two detectors: a Mass Spectrometer (MS) and a metal oxide based gas sensor sensitive (MOX) to Volatile Organic Compounds (VOCs). VOC sensor signal profiles (resistance vs. time) showed a higher sensitivity to specific organic classes such as aldehydes and ketones. The sensorgrams were preprocessed and analysed by PLS-DA. The results showed that sensorgrams analysis by suitable bioinformatics techniques has a good discrimination power and could support physiological parameters in human semen assessment. The analysis of the human semen Volatilome may be a proof-of-concept for the development of a novel micro-GC device with a sensor array detector, a potential candidate for infertility assessment in clinical practice.
- Subjects :
- Infertility
030219 obstetrics & reproductive medicine
Chromatography
medicine.diagnostic_test
Chemistry
010401 analytical chemistry
Potential candidate
Semen
Semen analysis
medicine.disease
01 natural sciences
0104 chemical sciences
03 medical and health sciences
0302 clinical medicine
medicine
Gas chromatography
Gas chromatography–mass spectrometry
Volatile metabolites
Sperm motility
Human semen, VOC sensor, GC/MOX sensor system
Subjects
Details
- Language :
- English
- ISBN :
- 978-3-030-04323-0
- ISBNs :
- 9783030043230
- Database :
- OpenAIRE
- Journal :
- Lecture Notes in Electrical Engineering ISBN: 9783030043230, Sensors
- Accession number :
- edsair.doi.dedup.....695dc95eeb10146b34678fe9e135d770