Evidence map›Paper›PMID 39328222›Full record

ArticleFood science and biotechnology2024

Optimization of double-cooking condition for low potassium potatoes using response surface methodology (RSM).

Ji-Eun Lim, Sang-Jin Ye, Jae-Sung Shin, Hui-Yun Kim, Ji-Eun Bae, Seon-Min Oh, Moo-Yeol Baik

Abstract read
In one paragraph

Article in Food science and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

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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

1 citing paper in PubMed.

  1. Review
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.

Ji-Eun Lim *Department of Food Science and Biotechnology, Institute of Life Science and Resources, Graduate School of Biotechnology, Kyung Hee University, Kyung Hee University, Yongin, 17104 South Korea.
Sang-Jin Ye *Department of Food Science and Biotechnology, Institute of Life Science and Resources, Graduate School of Biotechnology, Kyung Hee University, Kyung Hee University, Yongin, 17104 South Korea.
Jae-Sung ShinDepartment of Food Science and Biotechnology, Institute of Life Science and Resources, Graduate School of Biotechnology, Kyung Hee University, Kyung Hee University, Yongin, 17104 South Korea.
Hui-Yun KimDepartment of Food Science and Biotechnology, Institute of Life Science and Resources, Graduate School of Biotechnology, Kyung Hee University, Kyung Hee University, Yongin, 17104 South Korea.
Ji-Eun BaeDepartment of Food Science and Biotechnology, Institute of Life Science and Resources, Graduate School of Biotechnology, Kyung Hee University, Kyung Hee University, Yongin, 17104 South Korea.
Seon-Min OhDepartment of Food Science and Biotechnology, Institute of Life Science and Resources, Graduate School of Biotechnology, Kyung Hee University, Kyung Hee University, Yongin, 17104 South Korea.
Moo-Yeol BaikDepartment of Food Science and Biotechnology, Institute of Life Science and Resources, Graduate School of Biotechnology, Kyung Hee University, Kyung Hee University, Yongin, 17104 South Korea.ORCID 0000-0003-3779-3369

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to establish optimal double-cooking condition using response surface methodology that maintained hardness while maximizing potassium reduction rate. The experimental design was based on the first cooking time (4.5-5.5 min) and rinsing time (20-60 s) through central composite design. This study suggested an optimal double-cooking condition of 5.5 min for first cooking and 57.57 s for rinsing. The model corroborated that the double-cooking condition significantly influenced dependent variables, including potassium reduction rate, hardness, and color (b-value). As the first cooking time increased, the potassium reduction rate increased and the hardness and b-value decreased. SEM revealed that double-cooked potato had more organized and netted structure. This structure could be helpful to maintain hardness, but relatively large amount of potassium could be leached out. The established optimal double-cooking condition for potatoes holds promise for broadening the dietary options for chronic kidney disease patients.

Indexed as

Chronic kidney disease (CKD)Double-cookingHardnessPotassiumPotatoResponse surface methodology (RSM)

Identifiers

PMID39328222
PMCPMC11422410

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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.