ArticleFoods (Basel, Switzerland)2026
Integration of UV Stability and Shelf-Life Prediction in a Colorimetric Intelligent Label for Real-Time Monitoring of Shrimp Freshness.
Xiujin Chen, Shiqiang Yu, Yang Qu, Jing Wang, Minghui Dai, Weiguo Song, Peihong Liu, Yujuan Suo
Abstract read
In one paragraphArticle 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
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
8 authors.
Xiujin ChenHenan International Joint Laboratory of Green Food Processing and Quality and Safety Control, College of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471000, China.ORCID 0000-0001-9063-7221 Shiqiang YuHenan International Joint Laboratory of Green Food Processing and Quality and Safety Control, College of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471000, China.
Yang QuInstitute for Agro-Food Standards and Testing Technology, Laboratory of Quality & Safety Risk Assessment for Agro-Products (Shanghai), Ministry of Agriculture and Rural Affairs, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China.ORCID 0000-0002-9467-8538 Jing WangInstitute for Agro-Food Standards and Testing Technology, Laboratory of Quality & Safety Risk Assessment for Agro-Products (Shanghai), Ministry of Agriculture and Rural Affairs, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China.
Minghui DaiInstitute for Agro-Food Standards and Testing Technology, Laboratory of Quality & Safety Risk Assessment for Agro-Products (Shanghai), Ministry of Agriculture and Rural Affairs, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China.
Weiguo SongInstitute for Agro-Food Standards and Testing Technology, Laboratory of Quality & Safety Risk Assessment for Agro-Products (Shanghai), Ministry of Agriculture and Rural Affairs, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China.
Peihong LiuInstitute for Agro-Food Standards and Testing Technology, Laboratory of Quality & Safety Risk Assessment for Agro-Products (Shanghai), Ministry of Agriculture and Rural Affairs, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China.
Yujuan SuoInstitute for Agro-Food Standards and Testing Technology, Laboratory of Quality & Safety Risk Assessment for Agro-Products (Shanghai), Ministry of Agriculture and Rural Affairs, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China.ORCID 0000-0001-8708-1250 Funding
National Natural Science Foundation of China No. 32572724
6 · The paper itselfAbstract
The instability of pigments and non-quantitative indication limit the application of intelligent labels in food freshness monitoring. Natural anthocyanins face challenges including photodegradation and difficulty in quantifying shrimp freshness. To solve these problems, this study prepared a colorimetric intelligent label with UV-shielding and real-time monitoring functions. Carbon-coated nano-TiO
Indexed as
anthocyaninscarbon-coated nano-TiO2intelligent labelsremaining shelf-lifeUV shielding
Identifiers
PMID42073277
PMCPMC13115143
What OpenQuestion holds
Textmetadata
LicenceCC BY
Read underepoch 390