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
1秒前
无花果应助双勾玉采纳,获得10
2秒前
核桃应助蓝天采纳,获得30
2秒前
一扁渔发布了新的文献求助20
2秒前
北斗发布了新的文献求助10
2秒前
3秒前
Hocheeyo完成签到,获得积分10
3秒前
4秒前
星星完成签到,获得积分10
4秒前
科研通AI6.3应助勿念采纳,获得10
4秒前
可爱的函函应助敏感的蓝采纳,获得10
4秒前
Hello应助千千采纳,获得10
4秒前
JinwenShi完成签到,获得积分10
4秒前
5秒前
peng完成签到,获得积分10
5秒前
AamirAli完成签到,获得积分10
5秒前
6秒前
HYH完成签到,获得积分10
6秒前
xiaoxioayixi发布了新的文献求助10
7秒前
内向安露发布了新的文献求助10
7秒前
tyoleputh发布了新的文献求助10
8秒前
xinxbaby发布了新的文献求助10
8秒前
9秒前
矿泉水发布了新的文献求助30
9秒前
9秒前
10秒前
阿谈完成签到 ,获得积分10
10秒前
静静完成签到,获得积分10
12秒前
ajie发布了新的文献求助10
13秒前
13秒前
搜集达人应助甘为采纳,获得10
13秒前
FAIRY完成签到,获得积分10
14秒前
14秒前
无私的香菇完成签到 ,获得积分10
14秒前
MZ完成签到,获得积分10
15秒前
明理的帆布鞋完成签到,获得积分10
16秒前
CipherSage应助ajie采纳,获得30
17秒前
爆米花应助矿泉水采纳,获得30
17秒前
Owen应助矿泉水采纳,获得30
18秒前
HUSH994发布了新的文献求助10
18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
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Founders of Experimental Physiology: biographies and translations 500
ON THE THEORY OF BIRATIONAL BLOWING-UP 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 6373403
求助须知:如何正确求助?哪些是违规求助? 8186833
关于积分的说明 17282216
捐赠科研通 5427398
什么是DOI,文献DOI怎么找? 2871437
邀请新用户注册赠送积分活动 1848213
关于科研通互助平台的介绍 1694523