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Record W1481187840 · doi:10.3968/6477

Phialophora Melinii (NFCCI 3617): A Newly Isolated Psychrotolerant Fungus That Produces Enhanced Laccase Under the Influence of Organic Solvents

2015· article· en· W1481187840 on OpenAlexvenueno aff
Kusum Dhakar, Anita Pandey

Bibliographic record

VenueAdvances in natural science/Advances in natural sciences · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEnzyme-mediated dye degradation
Canadian institutionsnot available
Fundersnot available
KeywordsLaccaseMethanolAcetoneIncubationFungusEthanolLigninChemistryPropanolBiologyFood scienceBotanyChromatographyOrganic chemistryBiochemistryEnzyme

Abstract

fetched live from OpenAlex

A psychrotolerant fungus, isolated from decomposing pine needle debris, is investigated for laccase production under the influence of 5 organic solvents. The fungus was identified as Phialophora melinii and was able to grow between 4 to 35 °C (opt. 25 °C) and 2-14 pH (opt. 5-7). In quantitative estimations that were carried out at optimum growth temperature and pH, the fungal laccase was estimated to be 21.0 ± 4.0 U/L. Native PAGE study revealed 35 kDa molecular mass of the fungal laccase. Supplementation of organic solvents namely, methanol, ethanol, acetone, n-propanol and iso-propanol in varying concentrations (0.5%-2.0%, separately), significantly affected the production of fungal laccase. Out of 5 solvents used, n-propanol was found to be the most efficient enhancer of laccase production. n-Propanol (0.5%) resulted in maximum enhancement (7 folds) in laccase production at 18th day of incubation. Methanol, iso-propanol and ethanol were able to enhance laccase production up to 5-6 folds in comparison to control with respect to the varying concentration and incubation length. Age of the fungal culture (incubation days) was observed as an important factor for laccase production. Use of low molecular compounds in enhancing the fungal laccase production may be considered as an eco-friendly approach.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.455
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.011
Science and technology studies0.0010.004
Scholarly communication0.0000.009
Open science0.0030.000
Research integrity0.0000.001
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 head0.016
GPT teacher head0.291
Teacher spread0.275 · 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.

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

Citations2
Published2015
Admission routes1
Has abstractyes

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