MétaCan
Menu
Back to cohort
Record W4414920663 · doi:10.1016/j.clet.2025.101092

Thermodynamic and experimental insights toward an eco-friendly phosphorus production

2025· article· en· W4414920663 on OpenAlex

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.

Bibliographic record

VenueCleaner Engineering and Technology · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicPhosphorus and nutrient management
Canadian institutionsPolytechnique Montréal
FundersOCP Group
KeywordsPhosphorusSmeltingSlag (welding)PhosphateCarbon fibersLead smeltingPyrometallurgyMetalVanadium

Abstract

fetched live from OpenAlex

High-purity phosphorus production from varying grades of phosphate ore typically involves energy-intensive and operationally complex processes. In this study, thermodynamic analyses and experimental validations were performed to evaluate the feasibility of phosphorus gas production through a sustainable process comprising thermal decomposition and smelting of phosphate ores. The thermal treatment, conducted without a reducing agent, facilitated the removal of carbon dioxide (CO 2 ) and heavy metals from the ore, simplifying downstream processing and reducing the size of required equipment. Experimental results confirmed that fluorapatite remains stable up to 900 °C and begins decomposing at higher temperatures, aligning closely with thermodynamic predictions. The subsequent smelting step, conducted with carbon as the reducing agent and silica as the fluxing agent, enabled over 95 % recovery of gaseous phosphorus at 1500 °C under optimal conditions. Thermodynamic and experimental findings demonstrated that higher-grade phosphate ores necessitate higher operating temperatures for smelting. Optimal temperature ranges for thermal treatment and smelting of low-to high-grade phosphate ores were determined to be 800–1100 °C and 1300–1600 °C, respectively. Heavy metals such as cadmium, arsenic, and lead were fully removed during thermal treatment, while chromium, uranium, and vanadium predominantly remained in the slag phase during smelting. Zinc was the only heavy metal likely to co-mingle with gaseous phosphorus in the proposed process. The results validate the importance of fluxing and reducing agents in optimizing phosphorus recovery and highlight the potential for sustainable high-temperature processes. The influence of temperature, fluxing agents, and gaseous reactants on phosphorus recovery is thoroughly discussed, providing critical insights for process optimization. • Sustainable two-step process recovers phosphorus from low-to high-grade ores. • Experiments agree with thermodynamic predictions across tested conditions. • Two-step method efficiently removes heavy metals and CO 2 from phosphorus products. • Ore grade controls slag viscosity, where higher grades require more fluxing agent. • Higher-grade ores need higher temperatures for complete phosphorus recovery.

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)0.000
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 score0.322
Threshold uncertainty score0.451

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.003
GPT teacher head0.190
Teacher spread0.187 · 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