Abstract:Brominated and mixed halogenated dibenzo-p-dioxins (PBDDs and PXDDs) may well be as toxic as 2,3,7,8-tetrachloro-dibenzo-p-dioxin (2378-TCDD), a compound reputed as one of the most toxic chemicals known to exist. However, studies on the occurrence of PXDDs have been hampered by a lack of authentic standards as well as separation techniques capable of resolving the enormous number of potential isomers. Electron ionization (EI) mass spectrometry based methods are of limited value due to the lack of isomer specif… Show more
“…Unfortunately, this is often difficult information to get, especially with electron ionization mass spectrometry. Alternative ionization approaches can be helpful; for example, isomeric dioxin congeners can be differentiated by reactions with dioxygen anions …”
“…Unfortunately, this is often difficult information to get, especially with electron ionization mass spectrometry. Alternative ionization approaches can be helpful; for example, isomeric dioxin congeners can be differentiated by reactions with dioxygen anions …”
“…Therefore, separating toxic from non-toxic isomers is a major challenge that cannot be solved using GC alone, as witnessed by the coeluting isomers 2,3,7,8-TBDD (toxic) and 1,2,3,4-TBDD (less toxic) in Figure 5d. Fernando et al [103] showed that ion-molecule reactions with oxygen could be exploited to separate the coeluting isomers because 2,3,7,8-TBDD reacts with oxygen to produce the ether cleavage product C6H2BrO2 •− (m/z 265.840), whereas 1,2,3,4-TBDD cannot. When Structure-diagnostic reactions have also been observed in the positive ion mode 68 .…”
Section: Ion-molecule Reactions For Separation and Structural Elucidationmentioning
Gas chromatography–high-resolution mass spectrometry (GC–HRMS) is a powerful nontargeted screening technique that promises to accelerate the identification of environmental pollutants. Currently, most GC–HRMS instruments are equipped with electron ionization (EI), but atmospheric pressure ionization (API) ion sources have attracted renewed interest because: (i) collisional cooling at atmospheric pressure minimizes fragmentation, resulting in an increased yield of molecular ions for elemental composition determination and improved detection limits; (ii) a wide range of sophisticated tandem (ion mobility) mass spectrometers can be easily adapted for operation with GC–API; and (iii) the conditions of an atmospheric pressure ion source can promote structure diagnostic ion–molecule reactions that are otherwise difficult to perform using conventional GC–MS instrumentation. This literature review addresses the merits of GC–API for nontargeted screening while summarizing recent applications using various GC–API techniques. One perceived drawback of GC–API is the paucity of spectral libraries that can be used to guide structure elucidation. Herein, novel data acquisition, deconvolution and spectral prediction tools will be reviewed. With continued development, it is anticipated that API may eventually supplant EI as the de facto GC–MS ion source used to identify unknowns.
“…The current instrument configuration generates soft ionization fragments that differ from traditional electron impact (EI) ionization. Fernando et al 10 showed that polyhalogenated dibenzo-p-dioxins and furans (PXDDs and PXDFs) undergo an oxygen displacement reaction and produce pseudomolecular ions [M − X + O] − (where X = Cl, Br) using an APGC source in negative mode. A similar reaction product ion [M − Br + O] − was observed in PBDEs, although it was not always the most abundant fragment (Table S were not detected or had very low intensities in negative mode.…”
Section: ■ Experimental Sectionmentioning
confidence: 99%
“…Softer ionization such as atmospheric pressure chemical ionization (APCI) methods generate fewer fragments and potentially produce a more intense molecular ion that may aid in the identification of an unknown through reconstruction of the molecular formula from the measured mass-to-charge (m/z) and observed isotopic distribution profile. 9,10 However, data processing for soft ionization high-resolution mass spectrometry (HRMS) data could be a challenge when confirmatory fragments are not available to support nontargeted analyses. The natural abundance of the two prominent isotopes of Br ( 79 Br, 81 Br) and Cl ( 35 Cl, 37 Cl) provide distinct M, M + 2, M + 4... isotopic signatures for compounds that contain these atoms.…”
Section: ■ Introductionmentioning
confidence: 99%
“…A softer ionization technique could be used as an alternative means of identification. Softer ionization such as atmospheric pressure chemical ionization (APCI) methods generate fewer fragments and potentially produce a more intense molecular ion that may aid in the identification of an unknown through reconstruction of the molecular formula from the measured mass-to-charge ( m / z ) and observed isotopic distribution profile. , However, data processing for soft ionization high-resolution mass spectrometry (HRMS) data could be a challenge when confirmatory fragments are not available to support nontargeted analyses.…”
An isotopic profile matching algorithm, the isotopic profile deconvoluted chromatogram (IPDC), was developed to screen for a wide variety of organic compounds in high-resolution mass spectrometry (HRMS) data acquired from instruments with resolution power as low as 22 000 fwhm. The algorithm initiates the screening process by generating a series of C/Br/Cl/S isotopic patterns consistent with the profiles of approximately 3 million molecular formulas for compounds with potentially persistent, bioaccumulative, and toxic (PBT) properties. To evaluate this algorithm, HRMS data were screened using these seed profiles to isolate relevant chlorinated and/or brominated compounds. Data reduction techniques included mass defect filtering and retention time prediction from estimated boiling points predicted using molecular formulas and reasonable elemental conformations. A machine learning classifier was also developed using spectrometric and chromatographic variables to minimize false positives. A scoring system was developed to rank candidate molecular formulas for an isotopic feature. The IPDC algorithm was applied to a Lake Michigan lake trout extract analyzed by atmospheric pressure gas chromatography− quadrupole time-of-flight (APGC-QToF) mass spectrometry in positive and negative modes. The IPDC algorithm detected isotopic features associated with legacy contaminants and a series of unknown halogenated features. The IPDC algorithm resolved 313 and 855 halogenated features in positive and negative modes, respectively, in Lake Michigan lake trout.
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