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Record W7126338776

Determination of PFAS compounds in human serum using laminar flow tandem mass spectrometry

2022· other· en· W7126338776 on OpenAlexaboutno aff
Halia Heather Haynes

Bibliographic record

VenueOpenBU (Boston University) · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsCertified reference materialsExtraction (chemistry)AnalyteSolid phase extractionDetection limitMass spectrometryTandem mass spectrometryLaminar flow
DOInot available

Abstract

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Per- and polyfluoroalkyl substances (PFAS) encompass a large group of manufactured compounds that have been used in various production processes such as food packaging, commercial products, workplaces, homes, water supplies, and food. PFAS are persistent, resistant to degradation, and can bioaccumulate. Although an exposure limit that predicts adverse health effects has yet to be determined, the Center for Disease Control and Prevention’s 2015-16 health survey found average blood levels of 4.72 ng/ml for PFOS and 1.56 ng/ml for PFOA. The objective of this research was to evaluate the use of laminar flow tandem mass spectrometry following solid phase extraction (SPE) using weak anion exchange (WAX) properties on the detection and quantitation of PFAS compounds. Seven-point calibration standards applied to this research were prepared using certified reference materials (Wellington Laboratories, Ontario, CA), and calibrators were run without sample extraction. The concentrations varied slightly based on the PFAS analyte of interest. All samples and quality controls were prepared by spiking certified reference material (Wellington Laboratories) into pooled human serum (BioIVT, Westbury, NY, USA). A laminar flow QSight®220 ultra-high pressure liquid chromatography-tandem mass spectrometer (LC-MS/MS, PerkinElmer, Waltham, MA, USA) was equipped with a Selectra C18 100 x 2.1mm x 3μm (UCT, Bristol, PA, USA) column with a Brownlee C18 delay column (PerkinElmer) and followed the LC-MS/MS parameters developed for the method. Extraction was accomplished using a WAX SPE column (UCT, ECWAX053) by first conditioning the columns with 1 mL of methanol (Fisher Scientific, Fair Lawn, NJ, USA) followed by 1 mL of 100 mM pH 7 phosphate buffer (Acros Organics, Geel, Belgium, EU). Samples were loaded onto the column at a rate of 1-2 mL/min. The SPE cartridges were washed with 1 mL of 100 mM pH 7 phosphate buffer and 1 mL of millipore water (Millipore Milli- Q Ultrapure Type 1 water system, Millipore Sigma, Burlington, MA, USA), then dried under full flow for 5 minutes. Elution was carried out with 2.5mL of a 98:2 methanol: OptimaTM grade ammonium hydroxide (Fisher Scientific) solution. The eluted samples were then evaporated to dryness using a MULTIVAP® Nitrogen Evaporator (Organomation,Berlin,MA,USA) at 55°C and 5psi. All samples were reconstituted in 100 μL of a 96:4 methanol:water solution. The parameters assessed followed Academy Standards Board Standard 036: Standard Practices for Method Validation in Forensic Toxicology, including matrix interferences, limit of detection (LOD), limit of quantitation (LOQ), a recovery study, and a calibration model. The results of the study were gathered from the following eleven analytes: PFBA, PFBS, PFHxA, PFHpA, PFHxS, PFOA, PFOS, PFNA, PFDA, PFUnA, and PFDoA. Depending on the analyte, a lower LOQ was established at 0.16 – 1.75ng/mL and an upper LOQ at 43.75 – 51.41 ng/mL. Based on the established linear calibration model an LOD in the range of 0.11 - 0.51 ng/mL was achieved. All eleven PFAS analytes showed an acceptable bias of ±20%. All analytes showed a between-run precision (%CV) in an acceptable range of ±20%. No matrix interferences were detected. The average recovery for SPE ranges from 77.64- 104.73% with recovery of 77.64% for PFBS, 83.89% for PFBA, and 95.64-104.73% for PFHxA, PFHpA, PFHxS, PFOA, PFOS, PFNA, PFDA, PFUnA, and PFDoA. Utilizing the UCT WAX SPE column, good recovery for the PFAS compounds was demonstrated. Further, the extraction technique was efficient for high throughput analysis with the extraction time comparable to other traditional SPE methods. The total analytical run time of 11 minutes using the QSight®220 coupled with the UCT Selectra C18 100 x 2.1mm x 3μm column allowed for adequate re-equilibration and system washes to prevent carryover and contamination of these persistent pollutants with excellent chromatography. Having the ability to efficiently and accurately quantify PFAS compounds in biological matrices will allow for better understanding of prevalence, bioaccumulation in biological matrices, and will aid in understanding how these concentrations relate to various health outcomes.

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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)0.002
metaresearch head score (Gemma)0.002
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: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.022
GPT teacher head0.245
Teacher spread0.223 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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