Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous Abstract"The German Environmental Survey for Children and Adolescents 2014-2017 (GerES V) - Study population, response rates and representativeness"    Next AbstractMedial preoptic area dopaminergic responses to female pheromones develop during puberty in the male Syrian hamster »

Molecules


Title:Methods to Detect Volatile Organic Compounds for Breath Biopsy Using Solid-Phase Microextraction and Gas Chromatography-Mass Spectrometry
Author(s):Schulz E; Woollam M; Grocki P; Davis MD; Agarwal M;
Address:"Department of Chemistry and Chemical Biology, Indiana University-Purdue University, Indianapolis, IN 46202, USA. Integrated Nanosystems Development Institute, Indiana University-Purdue University, Indianapolis, IN 46202, USA. Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN 46202, USA. Department of Mechanical & Energy Engineering, Indiana University-Purdue University, Indianapolis, IN 46202, USA"
Journal Title:Molecules
Year:2023
Volume:20230603
Issue:11
Page Number: -
DOI: 10.3390/molecules28114533
ISSN/ISBN:1420-3049 (Electronic) 1420-3049 (Linking)
Abstract:"Volatile organic compounds (VOCs) are byproducts from metabolic pathways that can be detected in exhaled breath and have been reported as biomarkers for different diseases. The gold standard for analysis is gas chromatography-mass spectrometry (GC-MS), which can be coupled with various sampling methods. The current study aims to develop and compare different methods for sampling and preconcentrating VOCs using solid-phase microextraction (SPME). An in-house sampling method, direct-breath SPME (DB-SPME), was developed to directly extract VOCs from breath using a SPME fiber. The method was optimized by exploring different SPME types, the overall exhalation volume, and breath fractionation. DB-SPME was quantitatively compared to two alternative methods involving the collection of breath in a Tedlar bag. In one method, VOCs were directly extracted from the Tedlar bag (Tedlar-SPME) and in the other, the VOCs were cryothermally transferred from the Tedlar bag to a headspace vial (cryotransfer). The methods were verified and quantitatively compared using breath samples (n = 15 for each method respectively) analyzed by GC-MS quadrupole time-of-flight (QTOF) for compounds including but not limited to acetone, isoprene, toluene, limonene, and pinene. The cryotransfer method was the most sensitive, demonstrating the strongest signal for the majority of the VOCs detected in the exhaled breath samples. However, VOCs with low molecular weights, including acetone and isoprene, were detected with the highest sensitivity using the Tedlar-SPME. On the other hand, the DB-SPME was less sensitive, although it was rapid and had the lowest background GC-MS signal. Overall, the three breath-sampling methods can detect a wide variety of VOCs in breath. The cryotransfer method may be optimal when collecting a large number of samples using Tedlar bags, as it allows the long-term storage of VOCs at low temperatures (-80 degrees C), while Tedlar-SPME may be more effective when targeting relatively small VOCs. The DB-SPME method may be the most efficient when more immediate analyses and results are required"
Keywords:Gas Chromatography-Mass Spectrometry/methods *Volatile Organic Compounds/analysis Acetone/analysis Solid Phase Microextraction Polyethylene Terephthalates/analysis Breath Tests/methods Biopsy Tedlar bags direct-breath solid-phase microextraction (DB-SPME);
Notes:"MedlineSchulz, Eray Woollam, Mark Grocki, Paul Davis, Michael D Agarwal, Mangilal eng 2021-501/Defense Threat Reduction Agency/ Switzerland 2023/06/10 Molecules. 2023 Jun 3; 28(11):4533. doi: 10.3390/molecules28114533"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 16-11-2024