Evidence map›Paper›PMID 42631459›Full record

ReviewComprehensive reviews in food science and food safety2026

Advancements in Intelligent Thawing Systems for Protein-Based Foods: An Industry 5.0 Perspective.

Fangye Zeng, Min Zhang, Chung Lim Law, Luming Rui

Abstract readReview
In one paragraph

Review in Comprehensive reviews in food science and food safety, 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

4 authors.

Fangye ZengState Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, Jiangsu, China.
Min ZhangState Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, Jiangsu, China.ORCID https://orcid.org/0000-0001-8107-5212
Chung Lim LawFaculty of Innovation and Technology, Taylor's University, Subang Jaya, Selangor, Malaysia.
Luming RuiState Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, Jiangsu, China.

Funding

China Key R&D Program (Contract No. 2022YFD2100601)Fundamental Research Funds for the Central Universities JUSRP202416005Jiangsu Province (China) Science and Technology Plan Special Fund Project (No: BZ2024026)Postgraduate Research & Practice Innovation Program of Jiangsu Province (No. KYCX25_2761)
6 · The paper itself

Abstract

Freezing is essential for maintaining the stability of the global supply chain for protein-based foods such as meat and aquatic products. However, traditional thawing technologies suffer from low efficiency and severe quality deterioration. Aligned with the principles of Industry 5.0, next-generation food thawing increasingly prioritizes intelligence, human-centricity, sustainability, and resilience. This paper systematically examines the entire technological chain from freezing pretreatment to intelligent integration. Rather than providing a technology-by-technology summary, this review establishes a progressive analytical framework that connects freezing pretreatment, thawing strategies, intelligent systems, and Industry 5.0 enabling technologies. It first discusses freezing pretreatment strategies that establish a quality foundation for subsequent thawing, then reviews individual thawing technologies and synergistic thawing strategies through critical evaluation of their mechanisms, technological advantages, limitations, evidence quality, and industrial applicability. It further analyzes the architecture of intelligent thawing units, including multidimensional sensing networks, intelligent control, and digital twins, and highlights their role as the digital infrastructure for adaptive and data-driven thawing systems. Then it further discusses the roles of Industry 5.0 enabling technologies in building human-centric, sustainable, and resilient thawing systems. These technologies include augmented reality, collaborative robots, low-code platforms, blockchain, edge-cloud collaboration, and closed-loop feedback optimization. Finally, core challenges and future directions are outlined. This review proposes a whole-chain optimization framework from freezing pretreatment to intelligent thawing systems and provides critical insights into the transition toward Industry 5.0-oriented food processing.

Indexed as

Food HandlingFreezingHumansfreezing technologyhuman‐centricityIndustry 5.0intelligent thawing systemresiliencesustainabilitythawing technology

Identifiers

PMID42631459
PMCPMC13499088

What OpenQuestion holds

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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.