ArticlePeerJ2020
Molecular, physiological, and biochemical characterization of extracellular lipase production by
Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 27 citations in OpenAlex.
- Screening for potent Polyethylene terephthalate (PET) degrading fungi: optimization of lipase production media and assessment of PET fabric waste degradation.Biodegradation · 2026Article
- Bio-surface modification of polyester containing fabrics using lipase for post-multifunctionalization.Scientific reports · 2025Article
- Production of alkaline lipase by Aspergillus terreus AUMC 15762 for laundry application.AMB Express · 2025Article
- Microbial Enzymes in Industrial Biotechnology: Sources, Production, and Significant Applications of Lipases.Journal of industrial microbiology & biotechnology · 2024Review
- Gas chromatography-mass spectrometry analysis of fatty acids in healthy and Aspergillus niger MH078571.1-infected Arabica coffee beans.PloS one · 2024Article
- An Appraisal on Prominent Industrial and Biotechnological Applications of Bacterial Lipases.Molecular biotechnology · 2023Review
- Optimization of Submerged Culture Parameters of the Aphid Pathogenic FungusMicroorganisms · 2023Article
- Industrial applications of fungal lipases: a review.Frontiers in microbiology · 2023Review
- Discovery of entomopathogenic fungi across geographical regions in southern China on pine sawyer beetleFrontiers in plant science · 2022Article
- An encapsulated report on enzyme-assisted transesterification with an allusion to lipase.3 Biotech · 2021Review
- Application and characterization of crude fungal lipases used to degrade fat and oil wastes.Scientific reports · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundExtracellular production of fungal lipases especially the lipases obtained from the
methodsA total of 256 fungal isolates were obtained from oil seeds. From each genus, one isolate was selected to evaluate lipase production using phenol red and tributyrin plate assays. Lipase activity was estimated using the spectrophotometric pNPP hydrolysis assay. The highest lipase producer isolates were identified using 18S ribosomal RNA gene sequencing. The genetic variability was determined by random amplified polymorphic DNA (RAPD) analysis and the dendrogram was constructed using the unweighted pair group method with arithmetic averages method. The isolates were examined in a submerged fermentation culture (Smf) to measure the effect of temperature, pH, incubation time, carbon source, nitrogen source, inoculum volume, and lipid source on lipase production.
resultsEleven isolates belonging to the genus
conclusionsThe current study provides a comprehensive characterization of the optimal conditions, which are essential to enhance lipase production in five
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.