Smartphone application-based colorimetric fish freshness monitoring using an indicator prepared by rub-coating of red cabbage on paper substrates

食物腐败 pH指示剂 红卷心菜 RGB颜色模型 肉眼 涂层 计算机科学 化学 食品科学 环境科学 材料科学 色谱法 纳米技术 渔业 生物 人工智能 有机化学 遗传学 检出限 细菌
作者
K. P. Chaithra,T. P. Vinod,Prasiddha Nagarajan
出处
期刊:Colloids and Surfaces A: Physicochemical and Engineering Aspects [Elsevier BV]
卷期号:679: 132553-132553 被引量:19
标识
DOI:10.1016/j.colsurfa.2023.132553
摘要

This work developed a simple, easy-to-prepare, and inexpensive indicator (R-Paper) based on rub-coating of red cabbage on readily available paper substrates to detect the freshness of fish in out-of-lab settings. A single-step rub-coating method was used to incorporate anthocyanins on paper substrates, without the extraction of the compound from red cabbage. The preparation of the indicator and its usage is quick and does not require additional chemicals, personnel expertise, or laboratory facilities. The functional colorimetric interface created by directly rubbing red cabbage on paper was used for fish quality monitoring, which displayed a naked-eye detectable color change from purple (for fresh fish) to blue (for spoiling fish) and then to blue-green (for spoiled fish), corresponding to total volatile basic nitrogen (TVB-N) and pH changes. To provide a user-friendly quantitative analysis of this color change, we used the free Android software Color Grab to quantify the color using L* , a* , b* , and RGB indices. To the best of our knowledge, this work is the first report on an indicator prepared by rub-coating red cabbage onto paper-based substrates for fish spoilage monitoring through smartphone-based analysis. To verify that the R-Paper indicator performs on a par with the indicators using extracted anthocyanins, its performance was compared with indicators prepared using anthocyanins extracted from red cabbage (AR-Paper). Naked-eye analysis, simple preparation, ease of use, low cost, and free smartphone-based analysis make the R-Paper indicator an appropriate food quality indicator in resource-limited areas.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
vivi完成签到 ,获得积分10
1秒前
贪玩晟睿完成签到,获得积分10
2秒前
micaoqiqi发布了新的文献求助10
2秒前
2秒前
want完成签到,获得积分10
3秒前
Lacey发布了新的文献求助10
4秒前
jujuju发布了新的文献求助10
4秒前
5秒前
隐形曼青应助对对对采纳,获得10
5秒前
6秒前
阿喵完成签到 ,获得积分10
7秒前
科研小白完成签到 ,获得积分10
7秒前
MFiWanting发布了新的文献求助10
8秒前
chloe完成签到,获得积分10
8秒前
冷艳念真发布了新的文献求助10
8秒前
uulli发布了新的文献求助20
9秒前
彩色鹏煊发布了新的文献求助10
10秒前
11秒前
隐形萃发布了新的文献求助20
12秒前
angel发布了新的文献求助10
12秒前
14秒前
14秒前
活着完成签到,获得积分10
14秒前
香蕉觅云应助彩色鹏煊采纳,获得10
14秒前
李健应助鲤鱼不二采纳,获得10
17秒前
对对对发布了新的文献求助10
18秒前
18秒前
19秒前
无极微光应助隐形萃采纳,获得20
19秒前
元谷雪发布了新的文献求助10
19秒前
肚子咕咕叫完成签到,获得积分20
19秒前
Hello应助热心青易采纳,获得10
20秒前
星眠完成签到,获得积分10
21秒前
深情安青应助Lacey采纳,获得10
21秒前
斯文败类应助chendi20082009采纳,获得10
21秒前
心灵美复天完成签到,获得积分10
21秒前
jujuju完成签到,获得积分20
23秒前
24秒前
爱吃的月半猫完成签到,获得积分10
24秒前
24秒前
高分求助中
Ideology and Meaning-Making under the Putin Regime 750
Introduction to Industrial/Organizational Psychology 600
Prompt Engineering for Clinicians: Harnessing AI in Everyday Medical Practice 600
Handbook of Luminescence Dating 500
Safety Pharmacology 500
《KNN基无铅压电陶瓷电学性能优化与物理机理研究》 500
Isomerism In Coordination Compounds 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 计算机科学 化学工程 生物化学 物理 内科学 复合材料 催化作用 光电子学 物理化学 电极 细胞生物学 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6935452
求助须知:如何正确求助?哪些是违规求助? 8622314
关于积分的说明 18288151
捐赠科研通 6362969
什么是DOI,文献DOI怎么找? 3075283
关于科研通互助平台的介绍 2112786
邀请新用户注册赠送积分活动 2052723