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Record W7155518604 · doi:10.15120/gsi-2024-01213

High-Resolution Tandem Mass Spectrometry of complex mixtures with a Multiple-Reflection Time-of-Flight Mass-Spectrometer

2024· article· en· W7155518604 on OpenAlexaboutno aff
J. Bergmann

Bibliographic record

VenueGSI Repository (GSI Helmholtzzentrum für Schwerionenforschung) · 2024
Typearticle
Languageen
FieldChemistry
TopicMass Spectrometry Techniques and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsMass spectrometryCalibrationIsobaric processSoftwareAnalytical Chemistry (journal)Interface (matter)Atmospheric pressureIonResolution (logic)Tandem

Abstract

fetched live from OpenAlex

In this work, a multiple-reflection time-of-flight mass spectrometer (MR-TOF-MS) was adapted and employed, for the first time, for ultra-high resolution analytical tandem mass spectrometry. The device was deployed to analyze isobaric molecules in a heavy crude oil sample and to derive new structure formulas thanks to the device's ultra-high separation power and advanced data analysis techniques. A new atmospheric pressure interface (API) was built to operate multiple ion sources in parallel and to optimize the transmission for viscous samples, like crude oil residue. A radio-frequency carpet funnels the ions to the RFQ transport line, providing a compact, efficient, and fast method to combine ions from different sources in parallel to introduce calibrants, while avoiding chemical reactions with the analyte. Ion sources of three different types, nano-ESI, micro-ESI, and thermal 133Cs, were designed, built, coupled to the API, and operated to acquire the data shown in this thesis. A software package was developed for operating the device and for acquiring and analyzing mass spectra. The software allows automatically setting up the measurement by converting parameters like the desired mass range to voltages and HV pulse sequences in real time. Further automated measurement features are a time-of-flight drift correction, a scanning of measurement parameters, and an automatic gain control. In addition, its calibration technique and its enhanced elemental composition identification further assist in analysis. Furthermore, data analysis procedures were developed to increase the mass range, while retaining a high mass accuracy and mass resolving power for closed-path MR-TOF-MS. The software is also used together with MR-TOF-MS devices at particle accelerators, i.e. the MR-TOF-MS of the FRS Ion Catcher at GSI, Darmstadt, and the MR-TOF-MS of the TITAN experiment at TRIUMF in Vancouver. The device in this work features a mass resolving power (FWHM) of up to 300000, a sensitivity down to 10 mol/l, a linear dynamic range of five orders of magnitude, and mass accuracy of 0.3 ppm. Its re-trapping technique allows for a precursor mass separation power of up to 250000 at an efficiency of 10 % or up to 100000 with an efficiency of 80 % for tandem mass spectrometry. These capabilities were shown for tandem mass spectrometry measurements up to the fourth stage (MS^4). Furthermore, molecules as heavy as human insulin (5810 u) have been analyzed. Tandem mass spectrometry of a sample of medium-heavy crude oil residue was performed and four isobaric mass signals close to 322.2 u/e were isolated with an isolation window of 10 mu and a suppression factor of 200. This was only possible thanks to this device's ultra-high mass separation power. The resulting fragments within a mass range of 300 - 500 u were measured at a mass resolving power of 200000 and a mass accuracy of better than 1 ppm, and their elemental compositions were identified. With the help of our collaboration with the workgroup Mass Spectrometry of Prof. Dr. Wolfgang Schrader at the Max Planck Institute für Kohleforschung in Mülheim an der Ruhr, 26 molecular structures for the two isobaric precursor molecules, C23H32N+ and C23H28ON+, were identified. For future applications of the device, investigation of less understood crude oil samples as well as applications in life sciences are envisioned.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.249
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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