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Record W2749189901 · doi:10.25242/886872420171168

DEGRADAÇÃO DE POLIURETANO POR FUNGOS: PERSPECTIVAS PARA PRESERVAÇÃO AMBIENTAL

2017· article· pt· W2749189901 on OpenAlexaff
Vicente Mussi‐Dias, Adão Valmir Dos Santos, Luana Pinto de Souza Tavares, Glória Andreia Ferreira Hernández, Maria das Graças Machado Freire

Bibliographic record

VenueBiológicas & Saúde · 2017
Typearticle
Languagept
FieldEnvironmental Science
TopicMicroplastics and Plastic Pollution
Canadian institutionsWSP (Canada)
Fundersnot available
KeywordsBiology

Abstract

fetched live from OpenAlex

Alternativas buscando minimizar os problemas ambientais, sendo estas menos agressivas ao homem, têm sido foco de pesquisas realizadas no Laboratório de Química e Biomoléculas (LAQUIBIO)/ISECENSA. Possuidor de uma micoteca com quase dois mil fungos de restinga da região norte fluminense, podendo alguns destes, apresentarem-se promissores na biorremediação de diversos poluentes, como aqueles à base de poliuretano, um dos mais vendidos no mundo, que é descartado em grandes quantidades na natureza. Dessa forma, o objetivo deste trabalho foi desenvolver um meio de cultura para a seleção de fungos da coleção biológica do LAQUIBIO com capacidade de degradação de poliuretano. Para tal, foi preparado um meio de cultura com este polímero e 16 isolados de fungos foram cultivados e avaliados com relação à colonização de fragmentos de poliuretano. Observou-se o crescimento micelial de todos os fungos testados. No entanto, até o momento, apenas um isolado foi capaz de colonizar os fragmentos do polímero. Os resultados são promissores e novos ensaios devem ser conduzidos a fim de se detectar a produção enzimática degradadora de poliuretano por estes fungos.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.525
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.003

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 head0.038
GPT teacher head0.282
Teacher spread0.244 · 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; both teacher heads agree on what is shown here.

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
Published2017
Admission routes1
Has abstractyes

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