Hybrid Sensor Array Electronic Nose for Pork Quality Monitoring.

Yijie Zhao, Shuyao An, Wenjuan Lu, Zewei Hu, Xiaosa Duan, Yanbo Song, Zhenyu Liu

Abstract read

In one paragraph

Article in Foods (Basel, Switzerland), 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

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yijie ZhaoCollege of Information Science and Engineering, Shanxi Agricultural University, Taigu, Jinzhong 030801, China.

Shuyao AnCollege of Agricultural Engineering, Shanxi Agricultural University, Taigu, Jinzhong 030801, China.

Wenjuan LuCollege of Information Science and Engineering, Shanxi Agricultural University, Taigu, Jinzhong 030801, China.

Zewei HuCollege of Agricultural Engineering, Shanxi Agricultural University, Taigu, Jinzhong 030801, China.

Xiaosa DuanCollege of Agricultural Engineering, Shanxi Agricultural University, Taigu, Jinzhong 030801, China.

Yanbo SongCollege of Life Sciences, Shanxi Agricultural University, Taigu, Jinzhong 030801, China.

Zhenyu LiuCollege of Agricultural Engineering, Shanxi Agricultural University, Taigu, Jinzhong 030801, China.

Funding

Department of Science and Technology of Shanxi Province 202102140604005, 202302010101002Shanxi Scholarship Council of China 2023-092

6 · The paper itself

Abstract

Efficient monitoring of pork freshness is essential to minimize spoilage-related losses in the meat industry. To address the limitations of existing detection technologies, namely high cost, poor timeliness and high environmental sensitivity, this study developed a novel electronic nose system integrating a hybrid sensor array with dynamic gas path control. By combining metal oxide semiconductor (MOS) and electrochemical sensors (e.g., MQ137, MQ136), the system exhibits high sensitivity to the key volatile organic compounds (VOCs) released during pork spoilage, achieving a detection accuracy of over 90% in identifying spoilage stages. Combined with a dual-mode gas circuit design (solenoid valve switching time: 0.85 s), the reliability of the system was further demonstrated. This technology offers an economical and efficient real-time monitoring solution for slaughterhouses and cold chain logistics, providing a new low-cost scientific approach for pork freshness assessment.

Indexed as

dynamic gas pathelectronic nosegas sensor arraypork freshnessreal-time detection

Identifiers

PMID42354187

DOI10.3390/foods15122219

PMCPMC13298009

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LicenceCC BY

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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.