Evidence map›Paper›PMID 40870726›Full record

ReviewFoods (Basel, Switzerland)2025

Colorimetric Food Freshness Indicators for Intelligent Packaging: Progress, Shortcomings, and Promising Solutions.

Xiaodong Zhai, Yuhong Xue, Yue Sun, Xingdan Ma, Wanwan Ban, Gobinath Marappan, Haroon Elrasheid Tahir, Xiaowei Huang, Kunlong Wu, Zhilong Chen and 5 more

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 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 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

15 authors.

Xiaodong ZhaiSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.
Yuhong XueSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.
Yue SunSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.
Xingdan MaSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.
Wanwan BanSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.
Gobinath MarappanSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.ORCID 0000-0002-8393-2270
Haroon Elrasheid TahirSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.
Xiaowei HuangSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.
Kunlong WuInstitute of Modern Agriculture and Health Care Industry, Wencheng, Wenzhou 325300, China.
Zhilong ChenInstitute of Modern Agriculture and Health Care Industry, Wencheng, Wenzhou 325300, China.
Wenwu ZouInstitute of Modern Agriculture and Health Care Industry, Wencheng, Wenzhou 325300, China.
Biao LiuInstitute of Modern Agriculture and Health Care Industry, Wencheng, Wenzhou 325300, China.
Liang ZhangInstitute of Modern Agriculture and Health Care Industry, Wencheng, Wenzhou 325300, China.
Zhikun YangSchool of Tourism and Culinary Science, Yangzhou University, Yangzhou 225127, China.ORCID 0000-0001-5798-0327
Jaroslav KatonaFaculty of Technology Novi Sad, University of Novi Sad, Bul. cara Lazara 1, 21000 Novi Sad, Serbia.ORCID 0000-0003-4593-0554

Funding

Foundation of Jiangsu Specially-Appointed Professor 202074National Key Research and Development Program of China 2023YFE0105500National Key Research and Development Program of China 2024YFE0117000National Natural Science Foundation of China 1601360061National Natural Science Foundation of China 31801631National Natural Science Foundation of China 32102080National Natural Science Foundation of China 32150410347National Natural Science Foundation of China 32272407Natural Science Foundation of Jiangsu Province BK20200103Natural Science Foundation of Jiangsu Province BK20220058Natural Science Foundation of Jiangsu Province BK2022011Postdoctoral project of Institute of Modern Agriculture and Health Care Industry of Wencheng 2022NKY05Zhejiang Postdoctoral Programs ZJ2022135
6 · The paper itself

Abstract

The colorimetric food freshness indicator (CFFI) is a promising technology in intelligent food packaging, offering the capability for real-time monitoring of food freshness through colorimetric changes. This technology holds significant promise in mitigating food waste and enhancing transparency across the supply chain. This paper provides a comprehensive review of the classification system for the CFFI, encompassing colorimetric films and sensor arrays. It explores their applications across key perishable food categories, including meats, seafoods, fruits, and vegetables. Furthermore, this paper offers an in-depth analysis of three critical challenges currently hindering technological advancement: safety concerns, stability issues, and limitations in sensitivity and selectivity. In addressing these challenges, this paper proposes forward-looking solutions and outlines potential research directions aimed at overcoming these bottlenecks, thereby fostering substantial progress in the development of this field.

Indexed as

colorimetricfood freshnessfood safetyfreshness indicatorsintelligent packaging

Identifiers

PMID40870726
PMCPMC12385247

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.