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Record W4388528753 · doi:10.18280/ijdne.180525

Evaluation and Characterization of Lipase Production in Aspergillus niger Isolate Qurna for Biotechnological Applications

2023· article· en· W4388528753 on OpenAlexvenueno aff
Kadhim Fadhil Kadhim, Fatima Gaaid Ali, Adnan B. Al‐Hawash, Duaa Taher Rashid

Bibliographic record

VenueInternational Journal of Design & Nature and Ecodynamics · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEnzyme Catalysis and Immobilization
Canadian institutionsnot available
Fundersnot available
KeywordsAspergillus nigerLipaseBiotechnologyFood scienceBiologyEnzymeBiochemistry

Abstract

fetched live from OpenAlex

This study aims to investigate the lipase-producing capabilities of the isolated strain Aspergillus niger Qurna and to provide an analysis of contemporary scholarly contributions on the subject.Our objective is to offer a comprehensive survey of recent advancements in lipase production from Aspergillus niger, juxtaposing our findings with those from other relevant studies.Significant lipase activity was observed within the Aspergillus niger Qurna isolate, with a precipitation area exceeding 55 mm by the fifth day of tracking lipase activity via a chromogenic method.The variation in the precipitation zone size among different Aspergillus niger isolates might be attributable to genetic differences or environmental influences on gene expression.Upon comparing the Aspergillus niger Qurna isolate with international isolates, it was determined that the local Aspergillus niger isolate exhibited superior lipase activity.This makes it a promising candidate for biotechnological applications, including its potential use in food, pharmaceutical, detergent, and chemical industries.Therefore, the identification of Aspergillus niger strains with high lipase activity holds significant importance for biotechnological applications.

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)0.001
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 score0.271
Threshold uncertainty score0.228

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.013
GPT teacher head0.282
Teacher spread0.269 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Design & Nature and EcodynamicsSame topicEnzyme Catalysis and ImmobilizationFrench-language works237,207