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Record W4366146772 · doi:10.11159/icnnfc23.162

Synthesis and Characterization of Hydroxyapatite Nanoparticles for Environmental Applications

2023· article· en· W4366146772 on OpenAlexafffundvenue
Luis Ayala, Maribel Guzmán, Betty C. Galarreta, José E. Herrera, Ya-Huei Chin, William Broomhead

Bibliographic record

VenueProceedings of the World Congress on Recent Advances in Nanotechnology · 2023
Typearticle
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsUniversity of TorontoWestern University
FundersPontificia Universidad Católica del PerúGlobal Affairs Canada
KeywordsCharacterization (materials science)NanoparticleNanotechnologyMaterials scienceComputer science

Abstract

fetched live from OpenAlex

The present research presents the synthesis of nanoparticles of hydroxyapatite (Nps-Hap) and its potential uses for cadmium and chromium removal from contaminated effluents.The Nps-Hap obtained by chemical reaction were characterized with Scanning Electron Microscopy-Energy Dispersive X-Ray Spectroscopy (SEM-EDAX), X-ray Diffraction (XRD), Transmission Electron Microscopy (TEM) and Brunauer-Emmett-Teller (BET) isotherm analysis.The Ca/P calculated from EDAX analysis was 1.78.The synthesized nanoparticles show a surface area of 140.5 m 2 .g-1 and a pore radius of 7 nm.The results of XRD analysis showed the presence of Hap phases.TEM images show semispherical and elongated nanoparticles with mean diameter of 36.7 nm ± 13.5 nm.The removal kinetics showed that cadmium is removed more effectively than chromium, at pHs of 3 and 5 respectively.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.010
GPT teacher head0.252
Teacher spread0.241 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes3
Has abstractyes

Explore more

Same venueProceedings of the World Congress on Recent Advances in NanotechnologySame topicConducting polymers and applicationsFrench-language works237,207