Eggshell membrane as a novel and green platform for the preparation of highly efficient and reversible curcumin-based colorimetric sensor for the monitoring of chicken freshness

蛋壳膜 接触角 姜黄素 化学 蛋壳 食物腐败 纳米技术 材料科学 生物化学 生物 细菌 复合材料 生态学 遗传学
作者
Muhammad Iqbal,Sabeen Gohar,Chunhong Zhu,Mayakrishnan Gopiraman,Ick Soo Kim
出处
期刊:International Journal of Biological Macromolecules [Elsevier BV]
卷期号:266: 131089-131089 被引量:2
标识
DOI:10.1016/j.ijbiomac.2024.131089
摘要

Herein, for the very first time, we report a paper-like biomass, eggshell membrane (ESM), as a suitable platform for the fabrication of a colorimetric sensor (E-Cot). Green ethanolic extract, curcumin (CUR), was used as a sensing material to coat with the ESM. The present E-Cot effectively changed its color (yellow to red) in the real-time monitoring for chicken spoilage. The E-Cot exhibits barrier properties due to its inherent semi-permeability characteristics. Interestingly, the E-Cot showed a significant change in total color difference value (ΔE, 0 days - 0.0-39.6, after 1 day – 39.6-42.1, after 2 days – 42.1-53.6, after 3 days- 53.6-60.1, and after 4 days – 60.1-66.3, detectable by the naked eye) in the real-time monitoring for chicken freshness. In addition, the present E-Cot smart colorimetric sensor is reversible with a change in pH, and the sensor can be reused. Further, the hydrophobic nature of the E-Cot was confirmed by water contact angle analysis (WCA, contact angle of 101.21 ± 8.39). Good antibacterial, barrier, and optical properties of the present E-Cot were also found. Owing to the advantages such as green, efficient, cost-effective, biodegradable, reusable, sustainable, and simple preparation, we believe that the present E-Cot would be a more attractive candidate.

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
3秒前
liq发布了新的文献求助10
3秒前
3秒前
YG发布了新的文献求助10
4秒前
wanci应助ABC_IR采纳,获得10
4秒前
4秒前
6秒前
华仔应助David采纳,获得30
6秒前
7秒前
jt发布了新的文献求助10
8秒前
9秒前
10秒前
Lucas应助liq采纳,获得10
11秒前
解洙发布了新的文献求助10
12秒前
黑炭球完成签到,获得积分10
12秒前
fabian发布了新的文献求助10
12秒前
小二郎应助Jessie采纳,获得10
14秒前
007发布了新的文献求助10
14秒前
16秒前
fabian完成签到,获得积分10
17秒前
猪猪侠发布了新的文献求助10
17秒前
liq完成签到,获得积分20
19秒前
周周南完成签到 ,获得积分10
19秒前
娜娜完成签到 ,获得积分10
19秒前
斯文的楷瑞完成签到,获得积分10
22秒前
缓慢怜菡举报zhao求助涉嫌违规
22秒前
23秒前
Jasper应助kli采纳,获得10
25秒前
25秒前
隐形元绿发布了新的文献求助10
26秒前
jingjing完成签到,获得积分10
27秒前
wylwyl完成签到,获得积分10
27秒前
Jessie完成签到,获得积分10
28秒前
30秒前
研友_n0gVeL完成签到,获得积分10
31秒前
风兮完成签到,获得积分10
32秒前
007完成签到,获得积分10
36秒前
天天喝咖啡完成签到,获得积分10
39秒前
棠真发布了新的文献求助30
39秒前
43秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
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 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6356182
求助须知:如何正确求助?哪些是违规求助? 8171152
关于积分的说明 17203057
捐赠科研通 5412154
什么是DOI,文献DOI怎么找? 2864492
邀请新用户注册赠送积分活动 1842058
关于科研通互助平台的介绍 1690283