Evidence map›Paper›PMID 17566805›Full record

ArticleJournal of industrial microbiology & biotechnology2007

Removal of proteases from Clostridium perfringens fermented broth by aqueous two-phase systems (PEG/citrate).

Tatiana Souza Porto, Pedro Alcântara Pessôa-Filho, Benício Barros Neto, José Luiz Lima Filho, Attilio Converti, Ana Lúcia Figueiredo Porto, Adalberto Pessoa

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Article in Journal of industrial microbiology & biotechnology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
2.4field-weighted citation impact, top 13% 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

0 citing papers in PubMed, 33 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 1 institution in 1 country.

Tatiana Souza PortoDepartment of Biochemical and Pharmaceutical Technology, University of São Paulo, 05508-000 Sio Paulo, SP, Brazil. portots@usp.br
Pedro Alcântara Pessôa-Filho
Benício Barros Neto
José Luiz Lima Filho
Attilio Converti
Ana Lúcia Figueiredo Porto
Adalberto Pessoa
Universidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to reduce the toxicity of Clostridium perfringens fermentation broths used in vaccine preparation, we developed two-phase aqueous systems for removal of toxin-activating proteases. Removal of the proteases inhibits the conversion of protoxin to active toxin. In order to establish the conditions under which the phase separation occurs, binodal curves, formed by poly(ethylene glycol) (PEG) and sodium citrate, were investigated at different values of pH and PEG molar mass. A 2(4)-experimental design was used to evaluate the influence of PEG molar mass and concentration, citrate concentration and pH on protease partition coefficient, removal.factor and protease removal yield. It has been found that simultaneous increase in PEG molar mass and decrease in citrate concentration remarkably improved the removal factor, whereas the protease removal yield showed an opposite trend. The best conditions for the system under consideration (removal factor of 2.69 and yield of 116%) were obtained at pH 8.0 using PEG molar mass of 8000 g mol(-1) and concentrations of PEG and citrate of 24 and 15%, respectively.

Indexed as

Phase TransitionBacterial ToxinsCalcium-Binding ProteinsChemistry Techniques, AnalyticalCitratesClostridium perfringensCulture MediaFermentationHydrogen-Ion ConcentrationPeptide HydrolasesPolyethylene GlycolsSodium CitrateBacterial ToxinsCalcium-Binding ProteinsCitratesCulture MediaPeptide HydrolasesPolyethylene GlycolsSodium Citrate

Identifiers

PMID17566805
OpenAlexW2052540958

What OpenQuestion holds

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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.