Evidence map›Paper›PMID 42147966›Full record

ReviewInternational journal of food science2026

Optimization of Mechanical Structure for Pomegranate Peeling and Low-Damage Seed Extraction Technology Based on Mechanical Property Analysis: A Comprehensive Review.

Enlong Zhu, Jinkun Ran, Li Li, Junwei Zhu

Abstract readReview
In one paragraph

Review in International journal of food science, 2026. 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

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

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

4 authors.

Enlong ZhuDepartment of Mechanical Engineering, Tianjin University of Science and Technology, Tianjin, China, tust.edu.cn.ORCID https://orcid.org/0000-0003-4335-4741
Jinkun RanDepartment of Mechanical Engineering, Tianjin University of Science and Technology, Tianjin, China, tust.edu.cn.
Li LiTianjin Ruijing Tianyuan Farm, Tianjin, China.
Junwei ZhuYanShan University, Qinhuangdao, Hebei, China, ysu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With a rich history of cultivation, pomegranates are an essential cash crop planted extensively, offering considerable economic gains in the fruit industry. Within the pomegranate processing industry, pomegranate processing equipment enhances seed extraction efficiency and liberates labor. This paper reviews the current state of development in pomegranate processing technology and equipment both domestically and internationally, covering various mechanical structures, the current application status of equipment, and the principles of mechanical peeling mechanisms. It analyzes the limitations present in the existing pomegranate processing equipment. This study explores key technical pathways for automating pomegranate peeling and seed extraction. It encompasses conducting mechanical property tests to determine physical parameters and mechanical characteristics, designing an adjustable mechanism, and establishing preprocessing steps for removing calyx and leaves. Consequently, a multistage pomegranate seed extraction technical solution incorporating preprocessing procedures is proposed. This method involves removing the calyx leaves from pomegranates to reduce the difficulty of opening them, thereby increasing seed extraction rates and minimizing seed damage. The calyx removal success rate exceeds 98%, with pomegranate damage rates ≤ 5%. This study provides guidance for the upgrading of the pomegranate processing equipment industry.

Indexed as

peeling mechanical structurepeeling schemestructure optimizationtexture characteristicsXinjiang pomegranate

Identifiers

PMID42147966
PMCPMC13179539

What OpenQuestion holds

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LicenceCC BY
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.