Comprehensive two-dimensional liquid chromatography×gas chromatography: evaluation of the applicability for the analysis of edible oils and fats

Janssen, Hans‐Gerd; Boers, Wibo; Steenbergen, Herrald; Horsten, Roos; Flöter, Eckhard

doi:10.1016/s0021-9673(02)02058-7

Cited by 65 publications

(26 citation statements)

References 23 publications

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“…Janssen et al [81] visualized LC × GC-FID data for samples of edible oils and fats as two-dimensional bubble plots with circles indicating detected peaks (with dot locations determined by retention from LC and carbon number from GC and dot areas determined by intensity). Perera et al [82] showed a region of GC × GC-FID data as contour plots to fingerprint headspace volatiles from plant samples.…”

Section: Visual Featuresmentioning

confidence: 99%

Features for non-targeted cross-sample analysis with comprehensive two-dimensional chromatography

Reichenbach

Xiang

Cordero

et al. 2012

Journal of Chromatography A

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Section: Visual Featuresmentioning

confidence: 99%

Features for non-targeted cross-sample analysis with comprehensive two-dimensional chromatography

Reichenbach

Xiang

Cordero

et al. 2012

Journal of Chromatography A

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“…The first system, in order of time, was applied to the headspace analysis of volatile organic compounds contained in water [8]. In 2004, an entirely automated LC6GC system, developed after an offline LC6GC feasibility study [9], was exploited in lipid analysis [5]; the instrument was operated using stop-flow conditions, and combined with a TOF MS. A dual side-port syringe and a six-port switching valve were tested as interfaces, both providing a good performance. In a further LC6GC-TOF experiment, using the syringe transfer device, a diesel oil was subjected to analysis [10]: normal-phase LC was used as first dimension, while an apolar 30 m60.25 id capillary was employed in the second dimension; LC fractions of 80 lL, corresponding to a 6 s bandwidth, were transferred to the GC dimension.…”

Section: Introductionmentioning

confidence: 99%

Offline LC‐GC×GC in combination with rapid‐scanning quadrupole mass spectrometry

Mondello

Tranchida

Costa

et al. 2008

J of Separation Science

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The present research is focused on the offline combination of normal-phase LC to double-oven GC x GC-quadrupole MS. Initially, a diesel sample was subjected to automated LC x GC in order to define the elution windows of four fractions, viz., saturated hydrocarbons, monocyclic aromatics, dicyclic aromatics, tri- + tetracyclic aromatics; each fraction was collected exploiting the LC system in a further analysis and subjected to large-volume-injection-GC x GC analysis using an apolar-polar column combination. The GC x GC operational conditions were tuned in relation to the specific separation requirements of each heart-cut. The main benefits of what can be defined as offline LC-GC x GC were: (i) the high first-dimension LC selectivity; (ii) the injection of high sample amounts in the GC x GC system, enabling the detection and quantification of a series of low-amount diesel constituents; (iii) improved GC x GC operational conditions for each heart-cut with respect to direct GC x GC.

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“…A series of comprehensive 2-D techniques have been developed for the analysis of TAGs in fats and oils, e. g., LC6GC [13,14], SFC6SFC [15], and LC6LC (Ag6RP) using a stopped flow method [16]. Recently, a fully comprehensive LC system, using a micro-Ag column in the first and a monolithic RP column in the second dimension, has been developed in our laboratory and applied to the analysis of plant oil TAGs [17,18].…”

Section: Introductionmentioning

confidence: 99%

Separation of triacylglycerols in a complex lipidic matrix by using comprehensive two‐dimensional liquid chromatography coupled with atmospheric pressure chemical ionization mass spectrometric detection

Dugo

Kumm

Chiofalo

et al. 2006

J of Separation Science

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The present investigation describes the employment of a comprehensive 2-D HPLC system, based on the combination of a silver ion and an RP column, for the characterization of the triacylglycerol (TAG) fraction of a very complex lipidic sample: donkey milk fat. The TAGs were grouped on the resulting bidimensional contour plot according to their double bond numbers (aligned along vertical bands) and according to their partition numbers (aligned along horizontal bands). Peak assignment was supported by using atmospheric pressure chemical ionization mass spectrometric (APCI-MS) detection. The combination of the enhanced resolving power of comprehensive multidimensional LC, the formation of ordered 2-D patterns, and APCI-MS detection proved to be an effective tool for the characterization of the complex matrix, enabling the separation and identification of nearly 60 TAGs.

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Comprehensive two-dimensional liquid chromatography×gas chromatography: evaluation of the applicability for the analysis of edible oils and fats

Cited by 65 publications

References 23 publications

Features for non-targeted cross-sample analysis with comprehensive two-dimensional chromatography

Features for non-targeted cross-sample analysis with comprehensive two-dimensional chromatography

Offline LC‐GC×GC in combination with rapid‐scanning quadrupole mass spectrometry

Separation of triacylglycerols in a complex lipidic matrix by using comprehensive two‐dimensional liquid chromatography coupled with atmospheric pressure chemical ionization mass spectrometric detection

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