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Record W2596855473 · doi:10.30635/2415-0142.2015.01.3

Bioaccumulation of Trivalent Chromium in the Aquatic Macrophytes Typha domingensis L. and Pontederia parviflora Alexander

2018· article· en· W2596855473 on OpenAlexvenueno aff
Débora Cristina de Souza

Bibliographic record

VenueJournal of Agriculture Food and Development · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicConstructed Wetlands for Wastewater Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsBioaccumulationPhytoremediationChromiumMacrophyteEnvironmental chemistryAquatic plantShootChemistryBotanyBiologyHeavy metalsEcology

Abstract

fetched live from OpenAlex

The phytoremediation employs the use of plants and is rapidly gaining interest due to effective and inexpensive cleanup of wastewater contaminated with metals, hydrocarbons, pesticides and chlorinated solvents. This study compares the performance of the Typha domingensis and Pontederia parviflora under similar conditions, in the absorption of trivalent chrome. The determination of the absorption capacity of the species was set in four tests of survival. The aquatic macrophytes were maintained in solution of 1.5L with concentration of trivalent chromium of 70mg.L. -1 for 72 hours. At the end of the experiment the concentration of chromium in T. domingensis was 85% and 60% in P. parviflora . The concentration of Cr in P. parviflora was high in shoots and high levels of Cr were found in roots of T. domingensis indicating that the plants have difficulties to translocate Cr from the roots to shoots. Thereby, our findings indicate P. parviflora for treatment of wastewater with high concentrations of chromium and T. domingensis has its use limited in this type of 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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.301
Threshold uncertainty score0.213

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 head0.011
GPT teacher head0.209
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

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 designObservational
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
Published2018
Admission routes1
Has abstractyes

Explore more

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