Characterization of bacterial lipid profiles by using rapid sample preparation and fast comprehensive two‐dimensional gas chromatography in combination with mass spectrometry

Purcaro, Giorgia; Tranchida, Peter Q.; Dugo, Paola; Camera, Erminia La; Bisignano, Carlo; Mondello, Luigi

doi:10.1002/jssc.201000160

Cited by 39 publications

(23 citation statements)

References 18 publications

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“…Current GCϫGC-TOF-MS analyzers can operate with very high acquisition rates, typically up to 500 Hz, and offer higher resolution and sensitivity. Recent metabolomics applications of GCϫGC-MS include animals (40), plants (41)(42)(43)(44), microorganisms (45), and other samples such as human serum and tissues (46 -48). Fig.…”

Section: Chromatography Coupled To Msmentioning

confidence: 99%

Mass Spectrometry Strategies in Metabolomics

Lei

Huhman

Sumner

2011

Journal of Biological Chemistry

420

351

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MS has evolved as a critical component in metabolomics, which seeks to answer biological questions through large-scale qualitative and quantitative analyses of the metabolome. MSbased metabolomics techniques offer an excellent combination of sensitivity and selectivity, and they have become an indispensable platform in biology and metabolomics. In this minireview, various MS technologies used in metabolomics are briefly discussed, and future needs are suggested.Metabolomics is idealized as the large-scale, qualitative, and quantitative study of all metabolites in a given biological system. Unlike transcripts and proteins, the molecular identity of metabolites cannot be deduced from genomic information. Thus, the identification and quantification of metabolites must rely on sophisticated instrumentation such as MS, NMR spectroscopy, and laser-induced fluorescence detection. Each of these technologies has its own unique advantages and disadvantages. Optimal selection of a particular technology depends on the goals of the study and is usually a compromise among sensitivity, selectivity, and speed.NMR is highly selective and non-destructive and is generally accepted as the gold standard in metabolite structural elucidation, but it suffers from relatively lower sensitivity. Laser-induced fluorescence is one of the most sensitive techniques, but it lacks the chemical selectivity that is critical in structural identification. In contrast, MS offers a good combination of sensitivity and selectivity. Modern MS provides highly specific chemical information that is directly related to the chemical structure such as accurate mass, isotope distribution patterns for elemental formula determination, and characteristic fragment ions for structural elucidation or identification via spectral matching to authentic compound data. Moreover, the high sensitivity of MS allows detection and measurement of picomole to femtomole levels of many primary and secondary metabolites. These unique advantages make MS an important tool in metabolomics (1, 2).Modern MS offers an array of technologies that differ in operational principles and performance. Variations include ionization technique, mass analyzer technology, resolving power, and mass accuracy. The most common ionization techniques in metabolomics include electron ionization, electrospray ionization (ESI), 2 and atmospheric pressure chemical ionization (APCI). Other ionization techniques such as chemical ionization, MALDI, and, more recently, desorption ESI (DESI) (3) and extractive ESI (EESI) (4) have also been used. Mass analyzers with different resolving powers have also been used in metabolomics. These include ultrahigh and high resolution MS such as Fourier transform ion cyclotron resonance MS (FT-ICR-MS), orbitrap MS, and multipass TOF-MS. However, lower resolution instruments such as ion traps (both linear and three-dimensional quadrupoles) and single quadrupoles are utilized by many. Each of these mass analyzers has its own advantage and limitation. Selection of a specific MS pl...

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Section: Chromatography Coupled To Msmentioning

confidence: 99%

Mass Spectrometry Strategies in Metabolomics

Lei

Huhman

Sumner

2011

Journal of Biological Chemistry

420

351

View full text Add to dashboard Cite

show abstract

“…Using such an instrumental configuration, the MS can be used to identify unknown compounds and the FID for quantification purposes. Purcaro et al (2010b) used fast one-step sample preparation for extraction and methylation of bacteria FAs, requiring 2 min, and a relatively rapid split-flow twin-oven comprehensive 2D GCeqMS Two-dimensional chromatogram of menhaden fish oil sample obtained using GC-online hydrogenation Â GC-FID. FID, flame ionization detector; GC, gas chromatography.…”

Section: Fatty Acid Analysismentioning

confidence: 99%

Theory and Practice of UHPLC and UHPLC–MS

Guillarme

Veuthey

2017

Handbook of Advanced Chromatography /Mass Spectrometry Techniques

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“…Often greater resolving power, enhanced peak capacity, and improved sensitivity over 1D GC, obtained by GC × GC supported by unique structured patterns within the retention plane arising from "boiling point" and "polarity" relationships, aid in compound identification [1, 3,10,13,17,19]. These advantages have been applied to the study of biological oils, marine oils, bacterial lipids, and various compounds in environmental and dairy products, and in plant oils [1,4,[19][20][21]. Applications revealed that saturated and unsaturated compounds are located in different regions to permit easier identification of unknown FAMEs in complex matrices.…”

Section: Introductionmentioning

confidence: 99%

Integrated multidimensional and comprehensive 2D GC analysis of fatty acid methyl esters

Zeng

Chin

Marriott

2013

J of Separation Science

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Fatty acid methyl ester (FAME) profiling in complex fish oil and milk fat samples was studied using integrated comprehensive 2D GC (GC × GC) and multidimensional GC (MDGC). Using GC × GC, FAME compounds--cis- and trans-isomers, and essential fatty acid isomers--ranging from C18 to C22 in fish oil and C18 in milk fat were clearly displayed in contour plot format according to structural properties and patterns, further identified based on authentic standards. Incompletely resolved regions were subjected to MDGC, with Cn (n = 18, 20) zones transferred to a (2)D column. Elution behavior of C18 FAME on various (2)D column phases (ionic liquids IL111, IL100, IL76, and modified PEG) was evaluated. Individual isolated Cn zones demonstrated about four-fold increased peak capacities. The IL100 provided superior separation, good peak shape, and utilization of elution space. For milk fat-derived FAME, the (2)D chromatogram revealed at least three peaks corresponding to C18:1, more than six peaks for cis/trans-C18:2 isomers, and two peaks for C18:3. More than 17 peaks were obtained for the C20 region of fish oil-derived FAMEs using MDGC, compared with ten peaks using GC × GC. The MDGC strategy is useful for improved FAME isomer separation and confirmation.

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Characterization of bacterial lipid profiles by using rapid sample preparation and fast comprehensive two‐dimensional gas chromatography in combination with mass spectrometry

Cited by 39 publications

References 18 publications

Mass Spectrometry Strategies in Metabolomics

Mass Spectrometry Strategies in Metabolomics

Theory and Practice of UHPLC and UHPLC–MS

Integrated multidimensional and comprehensive 2D GC analysis of fatty acid methyl esters

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