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Record W2103491058 · doi:10.1002/cjce.22208

Sorptive Removal of Hydrogen Sulfide from Gas Streams by an Mg‐Al Layered Double Hydroxide

2015· article· en· W2103491058 on OpenAlex
Qian Zhao, Senlin Tian, Jiaojiao Zhang, Shujiao Zhan, Tao Sheng, Ping Ning

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2015
Typearticle
Languageen
FieldMaterials Science
TopicLayered Double Hydroxides Synthesis and Applications
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsSorptionHydroxideHydrogen sulfideLayered double hydroxidesAdsorptionChemistrySulfideInorganic chemistryIon exchangeHydrogenAmmoniaIonSulfurOrganic chemistry

Abstract

fetched live from OpenAlex

Mg‐Al layered double hydroxides (Mg‐Al LDHs) were used as an adsorbent for hydrogen sulfide (H 2 S) removal. Removal efficiency of H 2 S by the Mg‐Al LDH has been investigated at different temperatures and humidity. The results have shown Mg‐Al LDH to be highly promising as an adsorbent for H 2 S removal. Research results about sorption mechanisms indicate that at lower temperatures (20 ºC), H 2 S removal by Mg‐Al LDHs is mainly a physical sorption process; however, at higher temperature (> 40 ºC), it is dominated by chemical reactions involving ion exchange. Confirmation of the redox reaction between H 2 S and Mg‐Al LDHs was provided by XPS data. The results obtained demonstrate that the H 2 S removal efficiency of Mg‐Al LDHs increases with the temperature increasing, and decreases with the water vapour content increasing.

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 score0.013
Threshold uncertainty score0.993

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 science0.0010.000
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 head0.021
GPT teacher head0.220
Teacher spread0.199 · 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