Multidimensional gas chromatography of oxidative degradation products in algae-derived fuel oil samples using narrow heartcuts and rapid cycle times

Mitrevski, Blagoj; Webster, Renée L.; Rawson, Paul M.; Evans, David J.; Choi, Hyung‐Kyoon; Marriott, Philip J.

doi:10.1016/j.chroma.2011.12.051

Cited by 32 publications

(24 citation statements)

References 19 publications

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“…For each injection, several H/C were performed in a periodic strategy. 13 In this study, each H/C was performed within every 5 min (which is 2 D separation time, 2 t R,max ). The number of injections for each comprehensive analysis was thus calculated as 2 t R,max / t H/C .…”

Section: Materials and Chemicalsmentioning

confidence: 99%

Strategies towards simpler configuration and higher peak capacity with comprehensive multidimensional gas chromatography

et al. 2021

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Section: Materials and Chemicalsmentioning

confidence: 99%

Strategies towards simpler configuration and higher peak capacity with comprehensive multidimensional gas chromatography

et al. 2021

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Section: Selected Applicationsmentioning

confidence: 99%

“…As imilara pproach was used for tea tree oil (TTO) analysis for enantioselective analysisa imed to providea na uthenticity assessment of natural TTO (Melaleuca alternifolia) [38] and an example of multiple injections of an oxidized alternative fuel sample for analysiso ft race oxidation products. [39] Interferences in 1D GC analysis were eliminated in MDGC. Figure 3r eports the tea tree oil application, first by 1D GC-FIDt ol ocate the target compounds and second by heart-cutting the target compounds to a e 2 Dc olumnf or R/S enantiomeric ratio evalua-tion.…”

Section: Mdgcmentioning

confidence: 99%

Addressing the Challenges to Identification in Gas Chromatography by Increased Resolution and Enhanced Detection Modalities

Marriott

2018

Chemistry An Asian Journal

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In the past 15+ years, gas chromatography (GC) has undergone a renaissance in its implementation on the basis of the "disruptive" technology of comprehensive two-dimensional gas chromatography (GC×GC). With a foundation based upon a two-column GC separation approach, GC×GC significantly alters the classical multidimensional gas chromatography (MDGC) method by employing very fast separation on a second dimension ( D) after a conventional one-dimensional (i.e., single column; 1D) column separation. This allows the experimentalist to apply the advantages of multidimensionality to the total sample rather than to just discrete zones of the 1D separation that characterizes MDGC. This requires a new "language" to describe GC×GC separations, applied to the first dimension ( D) and D, and consideration of the modulation processes that define the transfer of analyte from the D to the D. The present review is based on the FACS Foundation lectureship of the author given at the 17th Asian Chemical Congress of the Federation of Asian Chemical Societies (FACS). The award lecture and this manuscript is based on material deriving largely from research in the area of MDGC and GC×GC separations of the author.

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“…Therefore, for various industrial and mining explorations, it is important to have information about the source of petrol contents and its interfaces 3,4 . Different techniques for the detection of petroleum contents have been reported in the literature, which mainly includes the ultrasonic method, 5 density method, 6,7 the capacitance method, 8 the grating detection method, 9 and photoacoustic detection method, 10 etc. The density method, which usually requires high maintenance cost, uses the vibration and float model principle whereas the ultrasonic method works on real‐time measurement, but it is more susceptible to bubbles and noise 5–7 .…”

Section: Introductionmentioning

confidence: 99%

Estimation of petroleum contents in bituminous soil using compact submersible radio frequency sensor based on artificial neural network

Verma

Jain

Tiwari

et al. 2021

Micro & Optical Tech Letters

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This paper presents a novel miniaturized noninvasive submersible compact planar sensor to estimate petroleum contents for various industrial and remote sensing applications. The proposed sensor is based on a microstrip technique wherein a complementary split‐ring resonator is used to sense samples under interrogation. The proposed compact sensor works at a resonating frequency of 8.87 GHz with quite high sensitivity. The designed sensor can accurately detect the shift in resonant frequency for corresponding change in soil samples and different level of petroleum contents. Furthermore, the sensor gives accurate permittivity extraction of various soil samples sample using an innovative automated neural network‐based algorithm. The experimental results show that the proposed sensor can detect materials contents with good repeatability, which can be used to detect the presence of petroleum constituents in transportation pipelines and mining exploration.

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Multidimensional gas chromatography of oxidative degradation products in algae-derived fuel oil samples using narrow heartcuts and rapid cycle times

Cited by 32 publications

References 19 publications

Strategies towards simpler configuration and higher peak capacity with comprehensive multidimensional gas chromatography

Strategies towards simpler configuration and higher peak capacity with comprehensive multidimensional gas chromatography

Addressing the Challenges to Identification in Gas Chromatography by Increased Resolution and Enhanced Detection Modalities

Estimation of petroleum contents in bituminous soil using compact submersible radio frequency sensor based on artificial neural network

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