Evidence map›Paper›PMID 37424578›Full record

ArticleJournal of food science and technology2023

Strain improvement, artificial intelligence optimization, and sensitivity analysis of asparaginase-mediated acrylamide reduction in sweet potato chips.

Ernest Akwagiobe, Maurice Ekpenyong, Atim Asitok, Andrew Amenaghawon, David Ubi, Eloghosa Ikharia, Heri Kusuma, Sylvester Antai

Open access · greenAbstract read
In one paragraph

Article in Journal of food science and technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

4 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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 3 institutions in 2 countries.

Ernest AkwagiobeFood and Industrial Microbiology Unit, Department of Microbiology, Faculty of Biological Sciences, University of Calabar, Calabar, Nigeria.
Maurice EkpenyongEnvironmental Microbiology and Biotechnology Unit, Department of Microbiology, University of Calabar, Calabar, Nigeria.ORCID 0000-0001-9601-5546
Atim AsitokEnvironmental Microbiology and Biotechnology Unit, Department of Microbiology, University of Calabar, Calabar, Nigeria.
Andrew AmenaghawonDepartment of Chemical Engineering, Faculty of Engineering, University of Benin, Benin City, Nigeria.
David UbiFood and Industrial Microbiology Unit, Department of Microbiology, Faculty of Biological Sciences, University of Calabar, Calabar, Nigeria.
Eloghosa IkhariaUniversity of Calabar Collection of Microorganisms (UCCM), University of Calabar, Calabar, Nigeria.
Heri KusumaDepartment of Chemical Engineering, Faculty of Industrial Technology, Universitas Pembangunan Nasional "Veteran" Yogyakarta, Yogyakarta, Indonesia.
Sylvester AntaiEnvironmental Microbiology and Biotechnology Unit, Department of Microbiology, University of Calabar, Calabar, Nigeria.
University of Calabar · NGUniversitas Pembangunan Nasional Veteran Yogyakarta · IDUniversity of Benin · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent times, L-asparaginase has emerged as a potential anti-carcinogen through hydrolysis of L-asparagine in the blood for anti-leukemic application, and in carbohydrate-based foods, for acrylamide reduction applications. In this study, Supplementary Information: The online version contains supplementary material available at 10.1007/s13197-023-05757-5.

Indexed as

Acrylamide mitigationANN-GA optimizationARTP mutagenesisL-asparaginaseSensitivity analysisSweet potato chips

Identifiers

PMID37424578
PMCPMC10326208
OpenAlexW4367848309

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.