Evidence map›Paper›PMID 35639290›Full record

ArticleBiotechnology letters2022

Citric acid production by a novel autochthonous Candida zeylanoides isolate: optimization of process parameters.

Bilge Sayın Börekçi, Mükerrem Kaya, Yekta Göksungur, Güzin Kaban

Abstract read
PubMed Publisher
In one paragraph

Article in Biotechnology letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. 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

4 authors.

Bilge Sayın BörekçiDepartment of Gastronomy and Culinary Arts, School of Tourism and Hotel Management, Ardahan University, 75000, Ardahan, Turkey. bilgesayin@ardahan.edu.tr.ORCID http://orcid.org/0000-0002-1898-0428
Mükerrem KayaDepartment of Food Engineering, Faculty of Agriculture, Atatürk University, 25240, Erzurum, Turkey.
Yekta GöksungurDepartment of Food Engineering, Faculty of Engineering, Ege University, 35040, İzmir, Turkey.
Güzin KabanDepartment of Food Engineering, Faculty of Agriculture, Atatürk University, 25240, Erzurum, Turkey.

Funding

Türkiye Bilimsel ve Teknolojik Araştirma Kurumu 119O739
6 · The paper itself

Abstract

In this study, citric acid (CA) production by autochthonous Candida zeylanoides 7.12 was investigated and optimized. Response surface methodology (RSM) was used for the analysis of simultaneous effects of the chosen factors and 2 experiment designs were applied. In the first experimental design, the effects of initial pH value (5.5, 6.0 and 6.5), fermentation time (4, 5 and 6 days) and initial glucose concentration (125, 150 and 175 g/L) on CA production were investigated. Initial pH value was adjusted periodically with NaOH. Results of the statistical analysis showed that the model was found to be not applicable sufficiently to the chosen data. A second experimental design was employed at the same levels of glucose concentration and fermentation time by disabling the pH factor. pH level was kept at 6.5 with CaCO

Indexed as

Citric AcidSaccharomycetalesFermentationGlucoseHydrogen-Ion ConcentrationCitric AcidGlucoseAutochthonousCandida zeylanoidesOptimizationOrganic acidResponse surface methodology

Identifiers

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.