MétaCan
Menu
Back to cohort
Record W2111324459 · doi:10.1002/jpln.201400601

Biochar‐induced formation of Zn–P‐phases in former sewage field soils studied by P <i>K</i>‐edge XANES spectroscopy

2015· article· en· W2111324459 on OpenAlexafffund
Anne Wagner, Martin Kaupenjohann, Yongfeng Hu, Jens Kruse, Peter Leinweber

Bibliographic record

VenueJournal of Plant Nutrition and Soil Science · 2015
Typearticle
Languageen
FieldChemistry
TopicRadioactive element chemistry and processing
Canadian institutionsCanadian Light Source (Canada)University of Saskatchewan
FundersNational Research Council CanadaNatural Sciences and Engineering Research Council of CanadaBerlin Institute of HealthTechnische Universität BerlinCanadian Light Source
KeywordsBiocharXANESSoil waterSpectroscopyEnvironmental chemistryChemistrySewage sludgeSewageEnvironmental scienceSoil sciencePyrolysisEnvironmental engineeringPhysics

Abstract

fetched live from OpenAlex

Abstract Biochar is proposed as a soil amendment for metal immobilization. Studies on former sewage field soils have indicated that biochar addition immobilized Zn, probably by the precipitation of Zn phosphates. Direct evidence of the presence of these mineral phases was still lacking. We investigated the colloidal precipitate obtained after ultracentrifugation of the soil‐water extract a biochar particle and a corresponding bulk soil sample from a sewage field soil that had been amended with 5% (w/w) biochar by P K ‐edge XANES spectroscopy. The P K ‐edge XANES spectrum of a colloidal precipitate visually resembled spectra of a synthetic Zn phosphate [Zn 3 (PO 4 ) 2 ] and of hopeite (Zn [6] Zn 2 [4] PO 4 ·4H 2 O). Spectra evaluation by principal component analysis (PCA) and linear combination fitting (LCF) confirmed the presence of Zn‐P‐phases in the colloidal precipitate and, to a lesser extent, in the biochar and bulk soil sample. The P speciations varying in differently sampled soil compartments point to a small‐scale heterogeneity of the biochar‐induced P transformation processes.

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)0.001
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 score0.002
Threshold uncertainty score0.281

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.032
GPT teacher head0.293
Teacher spread0.261 · 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

Citations23
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Plant Nutrition and Soil ScienceSame topicRadioactive element chemistry and processingFrench-language works237,207