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Record W7127412928 · doi:10.46770/as.2025.124

An Alumina-based Method for the Preconcentration of Pd, Pt, and Au Determined by Flow Injection-ICPMS: A Fast and Accessible Approach

2025· article· W7127412928 on OpenAlex
Diane Beauchemin

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAtomic Spectroscopy · 2025
Typearticle
Language
FieldChemistry
TopicAnalytical chemistry methods development
Canadian institutionsQueen's University
FundersNatural Sciences and Engineering Research Council of CanadaQueen's University
KeywordsFlow (mathematics)Analytical Chemistry (journal)CalibrationFlow injection analysisContinuous flow

Abstract

fetched live from OpenAlex

A method for the preconcentration and determination of Pd, Pt, and Au in ore was developed.A basic alumina sorbent with an 0.01 M HCl conditioning wash was used for the retention of chloro-complexed noble metals, which were then eluted with a 3% thiourea and a 10% aqua regia mixture.Flow injection was used for introduction of eluates into inductively coupled plasma mass spectrometry to effectively mitigate signal drift typically caused by thiourea with direct nebulization.Using this method, complete recovery (i.e. a 25-fold preconcentration) was achieved for Pd and Pt with an 8-fold recovery for Au and effective removal of matrix interferences.The method was validated using CDN-PGMS-29 ore reference material: agreement with certified concentrations of Pd, Pt and Au was achieved based on a Student's t-test at the 95% confidence level.This simple, low-cost method enables efficient preconcentration of Pd, Pt and Au, making it well suited for trace determination of Pt, Pd and Au for geological applications.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.419
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.331
Teacher spread0.318 · 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