Evidence map›Paper›PMID 36359984›Full record

ArticleFoods (Basel, Switzerland)2022

A Facile Strategy for Development of pH-Sensing Indicator Films Based on Red Cabbage Puree and Polyvinyl Alcohol for Monitoring Fish Freshness.

Hejun Wu, Chun Jiao, Shasha Li, Qingye Li, Zhiqing Zhang, Man Zhou, Xiangyang Yuan

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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.

Hejun WuCollege of Science, Sichuan Agricultural University, Ya'an 625014, China.ORCID 0000-0002-2596-5736
Chun JiaoCollege of Food Science, Sichuan Agricultural University, Ya'an 625014, China.
Shasha LiCollege of Food Science, Sichuan Agricultural University, Ya'an 625014, China.
Qingye LiCollege of Food Science, Sichuan Agricultural University, Ya'an 625014, China.
Zhiqing ZhangCollege of Food Science, Sichuan Agricultural University, Ya'an 625014, China.
Man ZhouCollege of Food Science, Sichuan Agricultural University, Ya'an 625014, China.
Xiangyang YuanCollege of Science, Sichuan Agricultural University, Ya'an 625014, China.

Funding

Ministry of Education 202110626035Science and Technology Department of Sichuan Province 2022YFS0517
6 · The paper itself

Abstract

This study aimed to develop a novel pH-sensing biopolymer film based on red cabbage puree (RCP) incorporated with polyvinyl alcohol (PVA), which was utilized for monitoring fish freshness during storage at 25 °C. A homogenized RCP suspension with a mean particle size of 12.86 ± 0.03 μm and a total anthocyanin concentration of 292.17 ± 2.65 mg/L was directly used as a film-forming substance and anthocyanin source to blend with PVA, showing visual changes in color and ultraviolet-visible spectra within a pH of 2-12. Rheological and microstructural studies certified the strong interactions and good compatibility between the RCP and PVA, resulting in better mechanical properties and water resistance of the composite film than those of a pure RCP film, but without affecting its pH sensitivity. When used for fish freshness monitoring at 25 °C, the developed RCP/PVA film presented visible color differences from purple to yellow, which corresponded to the spoilage threshold of the total volatile basic nitrogen and the total viable count in fish samples. The study highlights that anthocyanin-rich purees of fruits and vegetables, in this case red cabbage puree, can be fully utilized to develop eco-friendly pH-sensing indicator films for intelligent food packaging.

Indexed as

anthocyaninsfish freshnessintelligent packagingpH sensitivitypolyvinyl alcoholred cabbage puree

Identifiers

PMID36359984
PMCPMC9653917

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Registered trials

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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.