Mass spectral fragmentation of perfluoroacyl derivatives of half nitrogen mustards for their detection by gas chromatography/mass spectrometry

2020 ◽  
Vol 34 (12) ◽  
Author(s):  
Buddhadeb Chandra ◽  
Kanchan Sinha Roy ◽  
Mahabul Shaik ◽  
Chandrakant Waghmare ◽  
Meehir Palit
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Gas Chromatography Mass Spectrometry ◽  
Nitrogen Mustards ◽  
Mass Spectral Fragmentation ◽  
Mass Spectral ◽  
Chromatography Mass Spectrometry ◽  
Derivatives Of

Degradation of bacteria mass spectral signals via hydrothermal processing and UV irradiation: relevance to life detection on icy moons

2021 ◽  
Author(s):  
Tara Salter ◽  
Hunter Waite ◽  
Mark Sephton
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Uv Irradiation ◽  
Gas Chromatography Mass Spectrometry ◽  
Xenon Lamp ◽  
Hydrothermal Processing ◽  
Mass Spectral ◽  
Icy Moons ◽  
Chromatography Mass Spectrometry ◽  
Life Detection

<p>The inferred subsurface oceans of the icy moons of Jupiter and Saturn, in particular Europa and Enceladus, may contain conditions suitable for life. Plumes of material have been detected from Enceladus and may also be present on Europa. These plumes could contain molecular signs of habitability that could be detected by mass spectrometers on orbiting spacecrafts, such as the upcoming Europa Clipper mission. However, these molecular markers may have degraded between their production and detection, for example by possible hydrothermalism in the subsurface ocean or by UV irradiation once carried into space by the plume. It is important to look at how the biosignatures degrade under different conditions as degradation processes need to be taken into account when analysing the data from life detection missions. We investigate how these two processes affect the mass spectral signals of terrestrial bacteria.</p> <p>Two cyanobacteria samples, <em>Spirulina</em> and <em>Chlorella</em>, were subjected to hydrothermal processing and UV irradiation. Hydrous pyrolysis was used to simulate hydrothermal degradation. Experiments were carried out for 24 or 72 hours at temperatures between 200 and 300 °C. The pyrolyzed contents were subsequently extracted and analysed with gas chromatography-mass spectrometry (GC-MS). UV irradiation was carried out in a vacuum chamber (10<sup>-2</sup> mbar), using a 300 W short arc xenon lamp at UV to near infrared wavelengths (~250 – 800 nm). After UV irradiation, samples were analysed using pyrolysis-gas chromatography-mass spectrometry (Py-GC-MS).</p> <p>Our results show that hydrothermal processing of cyanobacteria affects the compound classes in different ways. Carbohydrate and protein components from the cyanobacteria were significantly affected, with phenol and indole derivatives detected. However, some of the biological fingerprint, such as straight-chain even numbered saturated fatty acids from lipid fragments, remain even at the harshest experimental conditions used in our study. This provides confidence that these diagnostic molecules could be used as fingerprints of biological materials on icy moons.</p>

Comprehensive analysis of metabolites in Corynebacterium glutamicum by gas chromatography/mass spectrometry

2004 ◽  
Vol 385 (9) ◽  
pp. 853-861 ◽  
Author(s):  
Sergey Strelkov ◽  
Mirko von Elstermann ◽  
Dietmar Schomburg
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Corynebacterium Glutamicum ◽  
Growth Conditions ◽  
Gas Chromatography Mass Spectrometry ◽  
Fast Method ◽  
Chromatography Mass Spectrometry ◽  
High Matrix ◽  
First Time ◽  
Derivatives Of

AbstractAn analytical method based on gas chromatography/mass spectrometry was developed for metabolome investigation ofCorynebacterium glutamicum. For the first time a fast method for metabolic screening that can be automated is described for this organism. More than 1000 compounds could be detected per experiment, ca. 330 of those showed a peak area significantly above background. Out of these 164 compounds were identified so far, representing derivatives of 121 different metabolites, which were quantified in one sample. In spite of the different chemical nature of metabolites and high matrix content, a measurement reproducibility in the range of 6% error was achieved. The application of this method for the analysis of the adaptation ofC. glutamicumto different growth conditions is demonstrated.

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