Evidence map›Paper›PMID 35854045›Full record

ArticleApplied microbiology and biotechnology2022

Characterization of a novel thermostable phospholipase C from T. kodakarensis suitable for oil degumming.

Fiorela Marchisio, Luisina Di Nardo, Diego Sebastián Val, Sebastián Cerminati, Martín Espariz, Rodolfo Maximiliano Rasia, Hugo Gabriel Menzella, María Eugenia Castelli

Abstract read
PubMed Publisher
In one paragraph

Article in Applied microbiology and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 24% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. ImmobilizedFrontiers in bioengineering and biotechnology · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Fiorela MarchisioInstituto de Procesos Biotecnológicos Y Químicos (IPROBYQ), Facultad de Ciencias, Bioquímicas Y Farmacéuticas, Universidad Nacional de Rosario (UNR), CONICET. Mitre 1998, S2000FWF, Rosario, Argentina.
Luisina Di NardoFacultad de Ciencias, Bioquímicas Y Farmacéuticas, Instituto de Biología Celular Y Molecular de Rosario (IBR), Universidad Nacional de Rosario (UNR), CONICET. Ocampo Y Esmeralda S/N, 2000, Rosario, Argentina.
Diego Sebastián ValInstituto de Procesos Biotecnológicos Y Químicos (IPROBYQ), Facultad de Ciencias, Bioquímicas Y Farmacéuticas, Universidad Nacional de Rosario (UNR), CONICET. Mitre 1998, S2000FWF, Rosario, Argentina.
Sebastián CerminatiInstituto de Procesos Biotecnológicos Y Químicos (IPROBYQ), Facultad de Ciencias, Bioquímicas Y Farmacéuticas, Universidad Nacional de Rosario (UNR), CONICET. Mitre 1998, S2000FWF, Rosario, Argentina.
Martín EsparizInstituto de Procesos Biotecnológicos Y Químicos (IPROBYQ), Facultad de Ciencias, Bioquímicas Y Farmacéuticas, Universidad Nacional de Rosario (UNR), CONICET. Mitre 1998, S2000FWF, Rosario, Argentina.
Rodolfo Maximiliano RasiaFacultad de Ciencias, Bioquímicas Y Farmacéuticas, Instituto de Biología Celular Y Molecular de Rosario (IBR), Universidad Nacional de Rosario (UNR), CONICET. Ocampo Y Esmeralda S/N, 2000, Rosario, Argentina.
Hugo Gabriel MenzellaInstituto de Procesos Biotecnológicos Y Químicos (IPROBYQ), Facultad de Ciencias, Bioquímicas Y Farmacéuticas, Universidad Nacional de Rosario (UNR), CONICET. Mitre 1998, S2000FWF, Rosario, Argentina.
María Eugenia CastelliInstituto de Procesos Biotecnológicos Y Químicos (IPROBYQ), Facultad de Ciencias, Bioquímicas Y Farmacéuticas, Universidad Nacional de Rosario (UNR), CONICET. Mitre 1998, S2000FWF, Rosario, Argentina. castelli@iprobyq-conicet.gob.ar.
National University of Rosario · ARConsejo Nacional de Investigaciones Científicas y Técnicas · AR

Funding

Fondo para la Investigación Científica y Tecnológica PICT2015-0303Fondo para la Investigación Científica y Tecnológica PICT2016-4124Fondo para la Investigación Científica y Tecnológica PICT 2018-2569
6 · The paper itself

Abstract

The implementation of cleaner technologies that minimize environmental pollution caused by conventional industrial processes is an increasing global trend. Hence, traditionally used chemicals have been replaced by novel enzymatic alternatives in a wide variety of industrial-scale processes. Enzymatic oil degumming, the first step of the oil refining process, exploits the conversion catalyzed by phospholipases to remove vegetable crude oils' phospholipids. This enzymatic method reduces the gums' volume and increases the overall oil yield. A thermostable phospholipase would be highly advantageous for industrial oil degumming as oil treatment at higher temperatures would save energy and increase the recovery of oil by facilitating the mixing and gums removal. A thermostable phosphatidylcholine (PC) (and phosphatidylethanolamine (PE))-specific phospholipase C from Thermococcus kodakarensis (TkPLC) was studied and completely removed PC and PE from crude soybean oil at 80 °C. Due to these characteristics, TkPLC is an interesting promising candidate for industrial-scale enzymatic oil degumming at high temperatures. KEY POINTS: • A thermostable phospholipase C from T. kodakarensis (TkPLC) has been identified. • TkPLC was recombinantly produced in Pichia pastoris and successfully purified. • TkPLC completely hydrolyzed PC and PE in soybean oil degumming assays at 80 °C.

Indexed as

Soybean OilType C PhospholipasesLecithinsPhospholipasesPhospholipidsLecithinsPhospholipasesPhospholipidsSoybean OilType C PhospholipasesEnzymatic degummingPhosphatidylcholine phospholipase CThermococcus kodakarensisThermostable phospholipase C

Identifiers

PMID35854045
OpenAlexW4285891261

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.