Analytical pyrolysis techniques in forensic science

Wheals, B.B.

doi:10.1016/0165-2370(81)80001-0

Cited by 33 publications

(2 citation statements)

References 26 publications

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“…Direct mixture analysis by pyrolysis-mass spectrometry can be an important tool in forensic analysis. Applications of pyrolysis techniques in forensic science have been reviewed by Wheals (144).…”

Section: E Miscellaneous Applicationsmentioning

confidence: 99%

Mass spectrometric profiling and pattern recognition

Taş

Greef

1994

Mass Spectrometry Reviews

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Section: E Miscellaneous Applicationsmentioning

confidence: 99%

Mass spectrometric profiling and pattern recognition

Taş

Greef

1994

Mass Spectrometry Reviews

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“…The mineral content of soil samples is often analyzed using polarizing light microscopy (7,8), X-ray diffraction (9,10), thermal analysis (11,12), and infrared microprobe analysis (13). Furthermore, such methods as Fourier transform infrared spectroscopy (14,15), gas chromatography or gas chromatography-mass spectroscopy (16)(17)(18)(19), and pyrolysis (20,21) have been used to examine the organic content of a soil.…”

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confidence: 99%

Comparative Forensic Soil Analysis of New Jersey State Parks Using a Combination of Simple Techniques with Multivariate Statistics^,

Bonetti

Quarino

2014

Journal of Forensic Sciences

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This study has shown that the combination of simple techniques with the use of multivariate statistics offers the potential for the comparative analysis of soil samples. Five samples were obtained from each of twelve state parks across New Jersey in both the summer and fall seasons. Each sample was examined using particle-size distribution, pH analysis in both water and 1 M CaCl2 , and a loss on ignition technique. Data from each of the techniques were combined, and principal component analysis (PCA) and canonical discriminant analysis (CDA) were used for multivariate data transformation. Samples from different locations could be visually differentiated from one another using these multivariate plots. Hold-one-out cross-validation analysis showed error rates as low as 3.33%. Ten blind study samples were analyzed resulting in no misclassifications using Mahalanobis distance calculations and visual examinations of multivariate plots. Seasonal variation was minimal between corresponding samples, suggesting potential success in forensic applications.

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Pyrolysis Gas Chromatography in Forensic Science

Blackledge

2000

Encyclopedia of Analytical Chemistry

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Pyrolysis (as the term is used by analytical chemists) is the breakdown of organic molecules by the application of heat in the absence of oxygen. Because oxygen is absent, combustion (which would produce primarily carbon dioxide and water vapor) does not occur, and the pyrolysis products are characteristic of their parent molecules. Pyrolysis is most often applied to characterize polymeric materials or other samples that cannot normally be vaporized without undergoing decomposition. In pyrolysis gas chromatography (PY/GC) the carrier gas (usually helium or nitrogen) sweeps the pyrolysis products onto a gas chromatography (GC) column.

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Analytical pyrolysis techniques in forensic science

Cited by 33 publications

References 26 publications

Mass spectrometric profiling and pattern recognition

Mass spectrometric profiling and pattern recognition

Comparative Forensic Soil Analysis of New Jersey State Parks Using a Combination of Simple Techniques with Multivariate Statistics^,

Pyrolysis Gas Chromatography in Forensic Science

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Analytical pyrolysis techniques in forensic science

Cited by 33 publications

References 26 publications

Mass spectrometric profiling and pattern recognition

Mass spectrometric profiling and pattern recognition

Comparative Forensic Soil Analysis of New Jersey State Parks Using a Combination of Simple Techniques with Multivariate Statistics,

Pyrolysis Gas Chromatography in Forensic Science

Contact Info

Product

Resources

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Comparative Forensic Soil Analysis of New Jersey State Parks Using a Combination of Simple Techniques with Multivariate Statistics^,