A Matrix-centered View of Mass Spectrometry Platform Innovation for Volatilome Research

Overview

Journal Front Mol Biosci

Specialty Biology

Date 2024 Nov 14

PMID 39539739

Authors

Andras Szeitz

Annika G Sutton

Steven J Hallam

Affiliations

Soon will be listed here.

Abstract

Volatile organic compounds (VOCs) are carbon-containing molecules with high vapor pressure and low water solubility that are released from biotic and abiotic matrices. Because they are in the gaseous phase, these compounds tend to remain undetected when using conventional metabolomic profiling methods. Despite this omission, efforts to profile VOCs can provide useful information related to metabolic status and identify potential signaling pathways or toxicological impacts in natural or engineered environments. Over the past several decades mass spectrometry (MS) platform innovation has instigated new opportunities for VOC detection from previously intractable matrices. In parallel, volatilome research linking VOC profiles to other forms of multi-omic information (DNA, RNA, protein, and other metabolites) has gained prominence in resolving genotype/phenotype relationships at different levels of biological organization. This review explores both on-line and off-line methods used in VOC profiling with MS from different matrices. On-line methods involve direct sample injection into the MS platform without any prior compound separation, while off-line methods involve chromatographic separation prior to sample injection and analyte detection. Attention is given to the technical evolution of platforms needed for increasingly resolved VOC profiles, tracing technical progress over time with particular emphasis on emerging microbiome and diagnostic applications.

References

Martinez-Lozano P, Zingaro L, Finiguerra A, Cristoni S . Secondary electrospray ionization-mass spectrometry: breath study on a control group. J Breath Res. 2011; 5(1):016002. DOI: 10.1088/1752-7155/5/1/016002. View

James A, MARTIN A . Gas-liquid partition chromatography; the separation and micro-estimation of volatile fatty acids from formic acid to dodecanoic acid. Biochem J. 1952; 50(5):679-90. PMC: 1197726. DOI: 10.1042/bj0500679. View

Chernushevich I, Thomson B . Collisional cooling of large ions in electrospray mass spectrometry. Anal Chem. 2004; 76(6):1754-60. DOI: 10.1021/ac035406j. View

Bellagambi F, Lomonaco T, Ghimenti S, Biagini D, Fuoco R, Di Francesco F . Determination of peppermint compounds in breath by needle trap micro-extraction coupled with gas chromatography-tandem mass spectrometry. J Breath Res. 2020; 15(1). DOI: 10.1088/1752-7163/abcdec. View

Smith D, Spanel P, Herbig J, Beauchamp J . Mass spectrometry for real-time quantitative breath analysis. J Breath Res. 2014; 8(2):027101. DOI: 10.1088/1752-7155/8/2/027101. View

Dolch M, Hornuss C, Klocke C, Praun S, Villinger J, Denzer W . Volatile organic compound analysis by ion molecule reaction mass spectrometry for Gram-positive bacteria differentiation. Eur J Clin Microbiol Infect Dis. 2012; 31(11):3007-13. DOI: 10.1007/s10096-012-1654-2. View

Mumm R, Schrank K, Wegener R, Schulz S, Hilker M . Chemical analysis of volatiles emitted by Pinus svlvestris after induction by insect oviposition. J Chem Ecol. 2003; 29(5):1235-52. DOI: 10.1023/a:1023841909199. View

Gonzalez M, Carnicero M, de la Torre R, Ortuno J, Segura J . Influence of the injection technique on the thermal degradation of cocaine and its metabolites in gas chromatography. J Chromatogr B Biomed Appl. 1995; 664(2):317-27. DOI: 10.1016/0378-4347(94)00484-m. View

Choudoir M, Rossabi S, Gebert M, Helmig D, Fierer N . A Phylogenetic and Functional Perspective on Volatile Organic Compound Production by . mSystems. 2019; 4(2). PMC: 6401417. DOI: 10.1128/mSystems.00295-18. View

10.

Temerdashev A, Gashimova E, Porkhanov V, Polyakov I, Perunov D, Dmitrieva E . Non-Invasive Lung Cancer Diagnostics through Metabolites in Exhaled Breath: Influence of the Disease Variability and Comorbidities. Metabolites. 2023; 13(2). PMC: 9960124. DOI: 10.3390/metabo13020203. View

11.

Barrios-Collado C, Garcia-Gomez D, Zenobi R, Vidal-de-Miguel G, Ibanez A, Martinez-Lozano Sinues P . Capturing in Vivo Plant Metabolism by Real-Time Analysis of Low to High Molecular Weight Volatiles. Anal Chem. 2016; 88(4):2406-12. DOI: 10.1021/acs.analchem.5b04452. View

12.

Mukhopadhyay R . IMS/MS: its time has come. Anal Chem. 2008; 80(21):7918-20. DOI: 10.1021/ac8018608. View

13.

Ratiu I, Ligor T, Bocos-Bintintan V, Buszewski B . Mass spectrometric techniques for the analysis of volatile organic compounds emitted from bacteria. Bioanalysis. 2017; 9(14):1069-1092. DOI: 10.4155/bio-2017-0051. View

14.

Drabinska N, Hewett K, White P, Avison M, Persad R, Ratcliffe N . Application of a solid-phase microextraction-gas chromatography-mass spectrometry/metal oxide sensor system for detection of antibiotic susceptibility in urinary tract infection-causing Escherichia coli - A proof of principle study. Adv Med Sci. 2021; 67(1):1-9. DOI: 10.1016/j.advms.2021.09.001. View

15.

Collins D, Lee M . Developments in ion mobility spectrometry-mass spectrometry. Anal Bioanal Chem. 2002; 372(1):66-73. DOI: 10.1007/s00216-001-1195-5. View

16.

Sharkey T, Yeh S . ISOPRENE EMISSION FROM PLANTS. Annu Rev Plant Physiol Plant Mol Biol. 2001; 52:407-436. DOI: 10.1146/annurev.arplant.52.1.407. View

17.

Lapthorn C, Pullen F, Chowdhry B . Ion mobility spectrometry-mass spectrometry (IMS-MS) of small molecules: separating and assigning structures to ions. Mass Spectrom Rev. 2012; 32(1):43-71. DOI: 10.1002/mas.21349. View

18.

Weisskopf L, Schulz S, Garbeva P . Microbial volatile organic compounds in intra-kingdom and inter-kingdom interactions. Nat Rev Microbiol. 2021; 19(6):391-404. DOI: 10.1038/s41579-020-00508-1. View

19.

Clark A, Kaleta E, Arora A, Wolk D . Matrix-assisted laser desorption ionization-time of flight mass spectrometry: a fundamental shift in the routine practice of clinical microbiology. Clin Microbiol Rev. 2013; 26(3):547-603. PMC: 3719498. DOI: 10.1128/CMR.00072-12. View

20.

Tsugawa H, cajka T, Kind T, Ma Y, Higgins B, Ikeda K . MS-DIAL: data-independent MS/MS deconvolution for comprehensive metabolome analysis. Nat Methods. 2015; 12(6):523-6. PMC: 4449330. DOI: 10.1038/nmeth.3393. View