Evidence map›Paper›PMID 42828257›Full record

ArticleFood chemistry: X2026

Optimization of pressure-assisted enzymatic treatment for fiber solubilization and structural modification of Korean cabbage by-products.

Hee Sun Yang, Hyo Jun Won, Mi Jin Kim, Seung Yeob Song, Ae-Jin Choi

Abstract read
In one paragraph

Article in Food chemistry: X, 2026. 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
–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

0 citing papers in PubMed.

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

5 authors.

Hee Sun YangDivision of Food Resources Development, National Institute of Crop Science, Rural Development Administration, Jeonbuk 55365, Republic of Korea.
Hyo Jun WonDivision of Food Resources Development, National Institute of Crop Science, Rural Development Administration, Jeonbuk 55365, Republic of Korea.
Mi Jin KimDivision of Food Resources Development, National Institute of Crop Science, Rural Development Administration, Jeonbuk 55365, Republic of Korea.
Seung Yeob SongDivision of Food Resources Development, National Institute of Crop Science, Rural Development Administration, Jeonbuk 55365, Republic of Korea.
Ae-Jin ChoiDivision of Food Resources Development, National Institute of Crop Science, Rural Development Administration, Jeonbuk 55365, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Korean cabbage by-products were treated using high-pressure enzyme treatment (HPET) to improve the solubilization and structural characteristics of ethanol-precipitable polysaccharide (EPP) fractions. Response surface methodology (RSM) and artificial neural network (ANN) models were employed to optimize enzyme concentration (0.5-2.0%), pressure (40-100 MPa), and treatment time (30-240 min). The optimal HPET condition (2% enzyme, 100 MPa, 210 min, 50 °C) increased the water solubility index from 46.55% to 64.61% and EPP yield from 3.85% to 5.52%, while reducing the water absorption index from 8.08 to 6.76 g/g compared with hot-water treatment. The proportion of the ≤10 kDa fraction increased to 85.80%, indicating enhanced polysaccharide depolymerization. Fourier transform infrared spectroscopy (FT-IR) and X-ray diffraction (XRD) suggested structural modifications in the recovered polysaccharide fraction. ANN showed predictive performance comparable to RSM. These findings demonstrate the potential of HPET for valorizing Korean cabbage by-products as functional polysaccharide ingredients.

Indexed as

Artificial neural networkEthanol-precipitable polysaccharidesKorean cabbage by-productsPolysaccharides depolymerizationPressure-assisted enzymatic treatmentResponse surface methodology

Identifiers

PMID42828257
PMCPMC13632093

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.