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2023· peer-review· en· W4388032984 on OpenAlexafffund
David S. McLagan

Bibliographic record

Venuenot available
Typepeer-review
Languageen
FieldEnvironmental Science
TopicHeavy metals in environment
Canadian institutionsQueen's University
FundersNatural Sciences and Engineering Research Council of CanadaUniversität WienAustrian Science FundDeutsche Forschungsgemeinschaft
KeywordsSorptionDesorptionChemistrySoil waterAnalytical Chemistry (journal)Thermal desorptionEnvironmental chemistryAdsorptionGeologySoil scienceOrganic chemistry

Abstract

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Abstract. Sorption of mercury (Hg) in soils is suggested to be predominantly associated with organic matter (OM). However, there is a growing collection of research that suggests clay minerals and Fe/Mn-oxides are also important solid-phases for the sorption of soluble Hg in soil-groundwater systems. We use a series of (60 mL syringe based) column experiments to examine sorption and subsequent desorption of HgCl2 solutions (Experiment 1 [EXP1]: 46.1 ± 1.1 mg L-1; and Experiment 2 [EXP2]: 144 ± 6 mg L-1) in low OM (0.16 ± 0.02 %) solid-phase aquifer materials. Analyses of total Hg concentrations, Hg speciation (i.e., pyrolytic thermal desorption (PTD)), and Hg stable isotopes are performed on both solid- and liquid-phase samples across sorption and desorption phases. Sorption breakthrough curve best fitted a Freundlich model. Despite the very low OM content, the Hg equilibrium sorptive capacity in these columns is very high: 1510 ± 100 and 2320 ± 60 mg kg-1 for the EXP1 and EXP2, respectively, and is similar to those determined for high OM soils. Desorption fits exponential decay models and 46 ± 6 % and 58 ± 10 % of the sorbed Hg is removed from the solid-phase materials at the termination of desorption in EXP1 and EXP2, respectively. This desorption profile is linked to the initial release of easily exchangeable Hg(II) species physically sorbed to Fe/Mn-oxides and clay mineral surfaces and then slower release of Hg(II) species that have undergone secondary reaction to more stable/less soluble Hg(II) species and/or diffusion/transport into the mineral matrices. Hg stable isotope data support preferential sorption of lighter isotopes to the solid-phase materials with results indicating isotopically heavy liquid-phase and isotopically light solid-phase. The divergence of δ202Hg (describing mass dependent fractionation (MDF)) between liquid- and solid-phase continues into desorption and we attribute this to lighter isotopes being favoured in secondary processes occurring after initial sorption to the solid-phase materials (i.e., matrix diffusion, change in Hg(II) speciation, elemental Hg (Hg(0)) production) that lead to less exchangeable forms of Hg. Consequently, heavy isotopes are preferentially released during desorption. These observations agree with data from HgCl2 contaminated sites. The secondary production of Hg(0) within the columns is confirmed by PTD analyses that indicate distinct Hg(0) release peaks in solid-phase samples at <175 °C, which again agree with field observations. Retardation (RD) and distribution (KD) coefficients are 77.9 ± 5.5 and 26.1 ± 3.0 mL g-1 in EXP1, respectively, and 38.4 ± 2.7 and 12.4 ± 0.6 mL g-1 in EXP2, respectively. These values are similar to values derived from column experiments on high OM soil and provide the basis for future Hg fate and transport modelling in soil-groundwater systems.

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)0.003
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.178
Threshold uncertainty score0.596

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0050.004
Open science0.0040.003
Research integrity0.0290.025
Insufficient payload (model declined to judge)0.1780.140

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 head0.047
GPT teacher head0.312
Teacher spread0.265 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2023
Admission routes2
Has abstractyes

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