Evidence map›Paper›PMID 37430956›Full record

ReviewFoods (Basel, Switzerland)2022

Cutting Techniques in the Fish Industry: A Critical Review.

Wenbo Liu, Jiaqi Lyu, Di Wu, Yupeng Cao, Qingquan Ma, Yuzhen Lu, Xin Zhang

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Assessment of Tail-Cutting in Frozen Albacore (Foods (Basel, Switzerland) · 2024
    Article
  7. Review
  8. Article
  9. Article
  10. Processing and Preservation of Aquatic Products.Foods (Basel, Switzerland) · 2023
    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

7 authors.

Wenbo LiuCoastal Research & Extension Center & Department of Agricultural and Biological Engineering, Mississippi State University, Pascagoula, MS 39567, USA.ORCID 0000-0003-1136-9885
Jiaqi LyuDepartment of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, USA.ORCID 0000-0002-6259-1577
Di WuDepartment of Chemical Engineering and Materials Science, Stevens Institute of Technology, Hoboken, NJ 07030, USA.ORCID 0000-0002-4266-6375
Yupeng CaoDepartment of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, USA.
Qingquan MaDepartment of Civil and Environmental Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA.
Yuzhen LuDepartment of Agricultural and Biological Engineering, Mississippi State University, Starkville, MS 39762, USA.ORCID 0000-0002-3636-1137
Xin ZhangDepartment of Agricultural and Biological Engineering, Mississippi State University, Starkville, MS 39762, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fish and fishery products are among the most important sources of nutritional components for human health, including high-quality proteins, essential vitamins, minerals, and healthy polyunsaturated fatty acids. Fish farming and processing technologies are continuously evolving to improve and enhance the appearance, yield, and quality of fish and fish products from farm to fork throughout the fish supply chain, including growth, postharvest, treatment, storage, transportation, and distribution. Processing of fish involves a period of food withdrawal, collection and transportation, the process of stunning, bleeding, chilling, cutting, packaging, and byproduct recycling. Cutting is a set of crucial operations in fish processing to divide the whole fish into smaller pieces for producing fish products (e.g., fish fillets, steaks, etc.). Various techniques and machinery have been introduced in the field to advance and automate cutting operations. This review aims to provide a comprehensive review of fish cutting techniques, machine vision and artificial intelligence applications, and future directions in fish industries. This paper is expected to stimulate research on enhancing fish cutting yield, product diversity, safety and quality, as well as providing advanced solutions for engineering problems encountered in the fish industry.

Indexed as

artificial intelligencefish cuttingfish processingmachine visionwaterjet cutting

Identifiers

PMID37430956
PMCPMC9602022

What OpenQuestion holds

Textmetadata
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.