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Record W4241830067 · doi:10.22587/ajbas.2018.12.9.2

Enhancement of Cd2+ Ionsremoval Bymelamine-Modified Activated Carbon Made From Coconut Shells

2018· article· en· W4241830067 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAUSTRALIAN JOURNAL OF BASIC AND APPLIED SCIENCES · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicAdsorption and biosorption for pollutant removal
Canadian institutionsUniversité Laval
FundersUniversité Laval
KeywordsCarbon fibersActivated carbonChemistryFood sciencePulp and paper industryMaterials scienceComposite materialAdsorptionOrganic chemistryComposite number

Abstract

fetched live from OpenAlex

Current industrial development has led to an increase in dangerous substances particularly heavy metals in the environment. Especially cadmium comes mainly from anthropogenic sources, namely metal plating, manufacture and use of nickel-cadmium batteries, phosphate fertilizers, pigments, mining etc. Several studies have shown the toxicity of heavy metals to humans even at low concentrations For example, diseases such as itai-itai, kidney damage, emphysema, hypertension and testicular atrophy have been reported to the consumption of water containing an excess of cadmium However, eliminating toxic heavy metals from the environment remains a challenge. Importantly, a heavy metal removal process must be simple, efficient and inexpensive. So far, several processes have been proposed to remove heavy metals from wastewater, including chemical processes Activated carbons have been widely used as adsorbents, because of their developed porous structures, large internal surface area and their ability to be used for the adsorption of a wide range of species from gas or of liquid phases (Jiaet al., 2002). Importantly, it can be produced from cheaper and readily available resources like coke, peat, wood, sawdust, coconut shell (Nadeemet al., 2009). The different mechanisms for the removal of heavy metals by activated carbon are electrostatic attraction between metallic species and activated carbon surface or chemical interaction between metal ions and various surface functional groups (Ahnet al., 2009). Currently various modification methods have been introduced to improve the adsorption capacity of activated carbon. Recent studies have shown that the introduction of nitrogen into a carbon structure while increasing the basicity of carbonaceous materials improves the ability of heavy metals to attach to the activated carbon surface (Mahaniniaet al., 2015). This can be explained by the fact that nitrogen can easily share the pair of electrons to bind metal ions based on Lewis acid-base theory (Daset al., 2007). Thus, the surface modification of AC by nitrogen introduction was studied (Tanadaet al., 1999). Melamine (2,4,6-triamino-1,3,5-triazine) is often used as a modification agent for nitrogen enrichment due to its high nitrogen content

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 categoriesInsufficient payload (model declined to judge)
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 score0.016
Threshold uncertainty score0.999

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 studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.024
GPT teacher head0.256
Teacher spread0.232 · 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