MétaCan
Menu
Back to cohort
Record W2526377684 · doi:10.11159/icepr16.108

Removal of Mixed Heavy Metals and Pahs by Immobilized Selenastrum Capricornutum

2016· article· en· W2526377684 on OpenAlex
N.F.Y. Tam, Ping Wang, Dan Deng, Yuk-Shan Wong

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

VenueProceedings of the World Congress on New Technologies · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMineralogy and Gemology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSelenastrumHeavy metalsEnvironmental chemistryEnvironmental scienceChemistryToxicityOrganic chemistry

Abstract

fetched live from OpenAlex

Due to rapid industrialization and urbanization, toxic pollutants are found in industrial discharges causing serious environmental problems. Polycyclic aromatic hydrocarbons (PAHs) from all combustion and industrial activities are released into environments and biomagnified through food chains resulting hazards to humans and wildlife due to their persistence and toxicity. PAHs from industries such as hydrocarbon processing, iron/steel manufacturing, electronic manufacturing, dye manufacturing, electroplating, smelting, etc. are often co-contaminated with high levels of toxic heavy metals (HMs), particularly, cadmium (Cd), copper (Cu), zinc (Zn) and nickel (Ni). These pollutants must be removed prior to discharge. However, the removal of single pollutant could be different from that that under co-contamination with other pollutants, as interactions could occur between pollutants. Microalgae have been reported to have the ability to remove and degrade organic and inorganic pollutants in wastewater. Nevertheless, previous research mainly reported the removal of single pollutant with little consideration on the wastewater containing mixed pollutants. One of the major operation problems encountered in microalgal-wastewater treatment is the difficulty in separating the biomass from the treated effluent, due to the small particle size and low strength and density of the microalgal cell. Such harvesting problem in wastewater could be overcome by the immobilization of microalgal cells within a suitable matrix. However, the removal efficiency of immobilized cells may not be the same as that by the free cells. The present study aimed to investigate the simultaneous removal of mixed heavy metals (Cu, Zn, Ni and Cd) and polycyclic aromatic hydrocarbons (PAHs) of different molecular weights (fluorene, phenanthrene, fluoranthene, pyrene and benzo[a]pyrene) by alginate-immobilized beads of a freshwater commercial green microalgal species, Selenastrum capricornutum, and the feasibility of using immobilized microalgal beads for wastewater treatment.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.783
Threshold uncertainty score0.399

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 studies0.0000.001
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 head0.011
GPT teacher head0.208
Teacher spread0.197 · 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