Evidence map›Paper›PMID 40646982›Full record

ReviewFoods (Basel, Switzerland)2025

Innovative Technologies Reshaping Meat Industrialization: Challenges and Opportunities in the Intelligent Era.

Qing Sun, Yanan Yuan, Baoguo Xu, Shipeng Gao, Xiaodong Zhai, Feiyue Xu, Jiyong Shi

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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.

Qing SunSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.ORCID 0009-0000-5132-7597
Yanan YuanSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.
Baoguo XuSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.ORCID 0000-0003-2582-0745
Shipeng GaoSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.ORCID 0009-0005-2437-7261
Xiaodong ZhaiSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.
Feiyue XuGuangdong Provincial Key Laboratory of Intelligent Food Manufacturing, Foshan University, Foshan 528225, China.
Jiyong ShiSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.

Funding

China Postdoctoral Science Foundation (2023TQ0138, 2023M731379
6 · The paper itself

Abstract

The Fourth Industrial Revolution and artificial intelligence (AI) technology are driving the transformation of the meat industry from mechanization and automation to intelligence and digitization. This paper provides a systematic review of key technological innovations in this field, including physical technologies (such as smart cutting precision improved to the millimeter level, pulse electric field sterilization efficiency exceeding 90%, ultrasonic-assisted marinating time reduced by 12 h, and ultra-high-pressure processing extending shelf life) and digital technologies (IoT real-time monitoring, blockchain-enhanced traceability transparency, and AI-optimized production decision-making). Additionally, it explores the potential of alternative meat production technologies (cell-cultured meat and 3D bioprinting) to disrupt traditional models. In application scenarios such as central kitchen efficiency improvements (e.g., food companies leveraging the "S2B2C" model to apply AI agents, supply chain management, and intelligent control systems, resulting in a 26.98% increase in overall profits), end-to-end temperature control in cold chain logistics (e.g., using multi-array sensors for real-time monitoring of meat spoilage), intelligent freshness recognition of products (based on deep learning or sensors), and personalized customization (e.g., 3D-printed customized nutritional meat products), these technologies have significantly improved production efficiency, product quality, and safety. However, large-scale application still faces key challenges, including high costs (such as the high investment in cell-cultured meat bioreactors), lack of standardization (such as the absence of unified standards for non-thermal technology parameters), and consumer acceptance (surveys indicate that approximately 41% of consumers are concerned about contracting illnesses from consuming cultured meat, and only 25% are willing to try it). These challenges constrain the economic viability and market promotion of the aforementioned technologies. Future efforts should focus on collaborative innovation to establish a truly intelligent and sustainable meat production system.

Indexed as

artificial intelligenceblockchain traceabilitymeat industrializationnon-thermal processingsmart cutting

Identifiers

PMID40646982
PMCPMC12248625

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.