Incrimination of an environmental source of a case of Legionnaires' disease by pyrolysis mass spectrometry

Sisson, P. R.; Freeman, R.; Lightfoot, N. F.; Richardson, Ian

doi:10.1017/s0950268800048755

Cited by 20 publications

(4 citation statements)

References 11 publications

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“…Pyrolysis mass spectrometry (PyMS) exposes the unique chemical fingerprint of the material under investigation and has been used to differentiate micro-organisms (Sisson et al, 1992). Although the technique does not provide a typing system it has been successfully utilized in investigative epidemiology to measure the relatedness of strains involved in suspected pathogen outbreaks (Sisson et al, 1991). It has been suggested that the technique may have value in the investigation of relationships between higher organisms (Russell, 1995).…”

Section: Introductionmentioning

confidence: 99%

Pyrolysis Mass Spectrometry as a Technique For Studying Inter- and Intraspecific Relationships in the Genus Fucus

Hardy¹,

Scott²,

Sisson³

et al. 1998

J. Mar. Biol. Ass.

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Pyrolysis mass spectrometry (PyMS) was used to investigate the relationships of members of the genus Fucus (F. spiralis, F. veskulosus, F. ceranoides and F. serratus), and between F. spiralis and F. spiralis forma nanus. Fucus spiralis and F. spiralis forma nanus were not separable by PyMS and are thus a single species. Fucus spiralis, F. veskulosus, F. ceranoides and F. serratus were separable and their status as species confirmed. The pattern of relatedness between these species suggests a re-evaluation of their evolutionary history in that F. spiralis, F. vesiculosus and F. serratus are more similar to one another than to F. ceranoides. Pyrolysis mass spectrometry was also used to investigate the position of plants identified as putative hybrids between F. spiralis and F. vesiculosus. These plants were found to be intermediate between the two species thus confirming morphological evidence.

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Section: Introductionmentioning

confidence: 99%

Pyrolysis Mass Spectrometry as a Technique For Studying Inter- and Intraspecific Relationships in the Genus Fucus

Hardy¹,

Scott²,

Sisson³

et al. 1998

J. Mar. Biol. Ass.

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“…Analytical speed was improving but reproducibility in the patterns was another priority. The earliest work with PyMS used EI . Potential advantages of this approach included the use of specially compiled mass spectral libraries yielding sufficient reproducibility in relative intensities.…”

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confidence: 99%

“…The earliest work with PyMS used EI. [18][19][20][21][22] Potential advantages of this approach included the use of specially compiled mass spectral libraries yielding sufficient reproducibility in relative intensities. Intensity could then become part of a pattern and thereby provide increased specificity.…”

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confidence: 99%

Instrumental improvements and sample preparations that enable reproducible, reliable acquisition of mass spectra from whole bacterial cells

Alusta

Buzatu

Williams

et al. 2015

Rapid Comm Mass Spectrometry

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RationaleRapid sub-species characterization of pathogens is required for timely responses in outbreak situations. Pyrolysis mass spectrometry (PyMS) has the potential to be used for this purpose.MethodsHowever, in order to make PyMS practical for traceback applications, certain improvements related to spectrum reproducibility and data acquisition speed were required. The main objectives of this study were to facilitate fast detection (<30 min to analyze 6 samples, including preparation) and sub-species-level bacterial characterization based on pattern recognition of mass spectral fingerprints acquired from whole cells volatilized and ionized at atmospheric pressure. An AccuTOF DART mass spectrometer was re-engineered to permit ionization of low-volatility bacteria by means of Plasma Jet Ionization (PJI), in which an electric discharge, and, by extension, a plasma beam, impinges on sample cells.ResultsInstrumental improvements and spectral acquisition methodology are described. Performance of the re-engineered system was assessed using a small challenge set comprised of assorted bacterial isolates differing in identity by varying amounts. In general, the spectral patterns obtained allowed differentiation of all samples tested, including those of the same genus and species but different serotypes.ConclusionsFluctuations of ±15% in bacterial cell concentrations did not substantially compromise replicate spectra reproducibility. © 2015 National Center for Toxicological Research. Rapid Communications in Mass Spectrometry published by John Wiley & Sons Ltd.

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“…Within clinical microbiology, because of the uncertainties over the long-term reproducibility of the PyMS system, PyMS has really been limited to the typing of short-term outbreaks, where all microorganisms are analyzed in a single batch. − In a study to differentiate between different strains of Carnobacterium , the short-term reproducibility over a period of 4 weeks was excellent; the separation of the five type strain species examined was sustained, and the spectra had not changed significantly over the 4 weeks. Shute et al also investigated the reproducibility of the PyMS system over a much longer period of 14 months for differentiating some Bacillus species.…”

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confidence: 99%

Correction of Mass Spectral Drift Using Artificial Neural Networks

Goodacre

Kell

1996

Anal. Chem.

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For pyrolysis mass spectrometry (PyMS) to be used for the routine identification of microorganisms, for quantifying determinands in biological and biotechnological systems, and in the production of useful mass spectral libraries, it is paramount that newly acquired spectra be compared to those previously collected. Neural network and other multivariate calibration models have been used to relate mass spectra to the biological features of interest. As commonly observed, however, mass spectral fingerprints showed a lack of long-term reproducibility, due to instrumental drift in the mass spectrometer; when identical materials were analyzed by PyMS at dates from 4 to 20 months apart, neural network models produced at earlier times could not be used to give accurate estimates of determinand concentrations or bacterial identities. Neural networks, however, can be used to correct for pyrolysis mass spectrometer instrumental drift itself, so that neural network or other multivariate calibration models created using previously collected data can be used to give accurate estimates of determinand concentration or the nature of bacteria (or, indeed, other materials) from newly acquired pyrolysis mass spectra. This approach is not limited solely to pyrolysis mass spectrometry but is generally applicable to any analytical tool which is prone to instrumental drift, such as IR, ESR, NMR and other spectroscopies, and gas and liquid chromatography, as well as other types of mass spectrometry.

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Incrimination of an environmental source of a case of Legionnaires' disease by pyrolysis mass spectrometry

Cited by 20 publications

References 11 publications

Pyrolysis Mass Spectrometry as a Technique For Studying Inter- and Intraspecific Relationships in the Genus Fucus

Pyrolysis Mass Spectrometry as a Technique For Studying Inter- and Intraspecific Relationships in the Genus Fucus

Instrumental improvements and sample preparations that enable reproducible, reliable acquisition of mass spectra from whole bacterial cells

Correction of Mass Spectral Drift Using Artificial Neural Networks

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