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Record W2795600199 · doi:10.5004/dwt.2018.21931

Biosorptive removal of cobalt from aqueous solution by using native and thiourea modified Pennisetum glaucum

2018· article· en· W2795600199 on OpenAlexaff
Amna Yousaf, Makshoof Athar, Muhammad Salman, Umar Farooq, Nouman Makshoof, Zoya Zaman, Mahnoor Sohail

Bibliographic record

VenueDesalination and Water Treatment · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicAdsorption and biosorption for pollutant removal
Canadian institutionsYork University
Fundersnot available
KeywordsPennisetumThioureaCobaltAqueous solutionChemistryNuclear chemistryAgronomyInorganic chemistryBiologyOrganic chemistry

Abstract

fetched live from OpenAlex

ABSTRACT The purpose of this investigative research is to find the acceptable solution for the removal of Co(II) by using native and modified Pennisetum glaucum. Comparison of biosorption parameters for native and modified material confirmed the promising efficiency of modified material due to active functionalities and exposed surface area. Physiological characteristics were observed by SEM, EDX and FT-IR analysis. Biosorption batch process was performed as function of biosorbent dose, contact time, initial Co(II) ion concentration, solution temperature and pH. Experimental data was investigated by known isothermal models. The Langmuir isotherm fitted well and the RMSE value was calculated using the non-linear approach. Kinetic studies followed the pseudo-second order and thermodynamic parameters ensured the appreciable biosorption behavior of thiourea modified Pennisetum glaucum.

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 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 score0.056
Threshold uncertainty score0.449

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 head0.019
GPT teacher head0.246
Teacher spread0.227 · 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 teacher head, 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

Citations3
Published2018
Admission routes1
Has abstractyes

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