Selective and Fast Analysis of Chlorinated Paraffins in the Presence of Chlorinated Mono-, Di-, and Tri-Olefins with the R-Based Automated Spectra Evaluation Routine (RASER).
Marco C KnoblochFlurin MathisOscar Mendo DiazUrs StalderLaurent BiglerSusanne KernDavide BleinerNorbert V HeebPublished in: Analytical chemistry (2022)
Chlorinated paraffins (CPs) are complex mixtures consisting of various C homologues (<i>n</i><sub>C</sub> ≈ 10-30) and Cl homologues (<i>n</i><sub>Cl</sub> ≈ 2-20). Technical CP mixtures are produced on a large scale (>10<sup>6</sup> t/y) and are widely used such as plasticizers in plastic and coolants in metalwork. Since 2017, short-chain CPs (C<sub>10</sub>-C<sub>13</sub>) are classified as persistent organic pollutants (POPs) by the Stockholm Convention but longer-chain CPs are not regulated. Analysis of technical CP mixtures is challenging because they consist of hundreds of homologues and millions of constitutional isomers and stereoisomers. Furthermore, such mixtures can also contain byproducts and transformation products such as chlorinated olefins (COs). We applied a liquid-chromatography method coupled to an atmospheric pressure chemical ionization technique with a high-resolution mass detector (LC-APCI-Orbitrap-MS) to study CP and CO homologues in two plastic materials. Respective mass spectra can contain up to 23,000 signals from 1320 different C-Cl homologue classes. The R-based automated spectra evaluation routine (RASER) was developed to efficiently search for characteristic ions in these complex mass spectra. With it, the time needed to evaluate such spectra was reduced from weeks to hours, compared to manual data evaluation. Unique sets of homologue distributions could be obtained from the two plastic materials. CPs were found together with their transformation products, the chlorinated mono-olefins (COs), di-olefins (CdiOs), and tri-olefins (CtriOs) in both plastic materials. Based on these examples, it can be shown that RASER is an efficient and selective tool for evaluating high-resolution mass spectra of CP mixtures containing hundreds of homologues.
Keyphrases
- gas chromatography
- mass spectrometry
- high resolution
- tandem mass spectrometry
- liquid chromatography
- ionic liquid
- density functional theory
- high resolution mass spectrometry
- ultra high performance liquid chromatography
- polycyclic aromatic hydrocarbons
- machine learning
- simultaneous determination
- deep learning
- high throughput
- multiple sclerosis
- drinking water
- staphylococcus aureus
- magnetic resonance
- cystic fibrosis
- biofilm formation
- air pollution
- monte carlo