Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Fuel spill identification using solid-phase extraction and solid-phase microextraction. 1. Aviation turbine fuels.

B K Lavine1, D M Brzozowski, J Ritter

  • 1Department of Chemistry, Clarkson University, Potsdam, NY 13699-5810, USA.

Journal of Chromatographic Science
|January 5, 2002
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Monitoring of shallow groundwater in Lower Saxony, Germany-spatial variability of redox conditions and benefit of the redox proxy ∆<sub>Mn-Fe</sub>.

Environmental monitoring and assessment·2025
Same author

Pattern Recognition Studies of Complex Chromatographic Data Sets.

Journal of research of the National Bureau of Standards (1977)·2021
Same author

Design of target irradiation and diagnostic chamber to study ps-laser generated plasma as a source of singly charged ions for external injection into an electron beam ion source.

The Review of scientific instruments·2020
Same author

Risk detection in patients with obstructive sleep apnea syndrome based on cardiovascular time series analysis<sup>.</sup>

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2020
Same author

Development of highly efficient NEG pumping system for EBIS.

The Review of scientific instruments·2019
Same author

Fate of Selected Pathogens Inoculated into Foods Prepared in Slow Cookers <sup>1,</sup> <sup>2</sup>.

Journal of food protection·2019
Same journal

A new device for simultaneous cooling of the drop and evaporated sample for the extraction of volatile components using cooled side arm tube headspace microextraction.

Journal of chromatographic science·2026
Same journal

Simultaneous quantitation of oleanolic and ursolic acids by RP-HPLC-DAD on active ingredient from Tabebuia hypoleuca leaves.

Journal of chromatographic science·2026
Same journal

Development and validation of gas chromatography-mass spectrometry method for identification and quantification of selected non-intentionally added substances IN pharmaceutical formulations.

Journal of chromatographic science·2026
Same journal

A simple method for the determination of Atrazine in lake water by gas chromatography with electron capture detector (GC-ECD) using dispersive liquid-liquid microextraction (DLLME).

Journal of chromatographic science·2026
Same journal

Investigation of surface properties of various parts of Angelica sylvestris by inverse gas chromatography.

Journal of chromatographic science·2026
Same journal

Development and validation of stability-indicating RP-HPLC method for simultaneous estimation of clomiphene citrate and co-enzyme Q10 in bulk and pharmaceutical dose.

Journal of chromatographic science·2026
See all related articles

Researchers analyzed aviation jet fuel using advanced extraction and pattern recognition techniques. A novel genetic algorithm successfully identified unique chemical fingerprints, enabling distinct classification of fuel types.

Area of Science:

  • Analytical Chemistry
  • Chemical Engineering
  • Forensic Science

Background:

  • Aviation jet fuels require precise characterization for safety and quality control.
  • The water-soluble fraction of jet fuels contains complex chemical mixtures.
  • Distinguishing between different jet fuel types, such as kerosene-based and nonkerosene-based, is crucial.

Purpose of the Study:

  • To develop a method for characterizing the water-soluble fraction of aviation jet fuels.
  • To identify unique chemical profiles for different jet fuel classes.
  • To apply machine learning for automated fuel classification.

Main Methods:

  • Solid-phase extraction (SPE) and solid-phase microextraction (SPME) were employed to isolate the water-soluble fraction.
  • Gas chromatography (GC) was used to generate detailed chemical profiles.

Related Experiment Videos

  • A novel genetic algorithm (GA) was developed for pattern recognition and feature selection.

    • Main Results:

    • Unique gas chromatographic profiles were observed for different jet fuel types.
    • Pattern recognition analysis revealed characteristic fingerprint patterns.
    • The GA successfully identified key features that differentiate fuel classes.
    • Principal component analysis (PCA) highlighted the features maximizing inter-class variance.

    Conclusions:

    • The combination of SPE/SPME, GC, and GA-based pattern recognition provides a powerful tool for jet fuel analysis.
    • This method allows for the accurate identification and classification of aviation jet fuels based on their chemical composition.
    • The developed GA offers a robust approach to emulating human expertise in chemical fingerprint analysis.