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Record W4397007289 · doi:10.1021/acsomega.4c02629

Rapid and Convenient Potentiometric Method for Determining Fluorosulfate, a Byproduct of the Fumigant and Greenhouse Gas Sulfuryl Fluoride

2024· article· en· W4397007289 on OpenAlexaff
Zhihao Chen, Chengjin Wang, Joseph J. Pignatello

Bibliographic record

VenueACS Omega · 2024
Typearticle
Languageen
FieldEngineering
TopicAdvanced Chemical Sensor Technologies
Canadian institutionsUniversity of Manitoba
FundersU.S. Department of Agriculture
KeywordsPotentiometric titrationFluorideChemistryOrganic chemistryInorganic chemistryIon

Abstract

fetched live from OpenAlex

High Resolution Image Download MS PowerPoint Slide A fluorosulfate ion (FSO 3 – ) is a hydrolysis product of sulfuryl fluoride (SO 2 F 2 ), which is widely used to fumigate buildings, soil, construction materials, and postharvest commodities, and is a potent greenhouse gas. It is a potential marker for biological exposure to SO 2 F 2 and for monitoring the progress of reactions used to scrub SO 2 F 2 from fumigation vent gases. Here, we report a simple and inexpensive potentiometric method for determining FSO 3 – using a commercial nitrate-selective electrode and discuss its application. The method is suitable for solutions between 0.0025 mM and 660 mM FSO 3 – at initial pH between 5 and 9. Halide interference depends on its molar ratio to FSO 3 – and follows the sequence, F – < Cl – < Br – ≪ I – . Halide interference can be eliminated by adding silver sulfate. Interference by bicarbonate can be eliminated by H 2 SO 4 pretreatment, and interference by phosphate or pyrophosphate by MgSO 4 addition. Sulfate does not interfere, as it does in ion chromatography. Satisfactory method detection limits for FSO 3 – in spiked aqueous extracts of 11 fruits were obtained. The method accurately quantified the yield of FSO 3 – relative to that of F – in base hydrolysis of SO 2 F 2 . This study demonstrates that the developed method is highly selective, convenient, and sensitive and thus can be of great value in practice.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.202
Threshold uncertainty score0.468

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.243
Teacher spread0.230 · 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 teacher head, 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

Citations4
Published2024
Admission routes1
Has abstractyes

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