已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Recent advances on natural colorants-based intelligent colorimetric food freshness indicators: fabrication, multifunctional applications and optimization strategies

活性包装 食品包装 生化工程 计算机科学 食品工业 天然食品 工艺工程 工程类 化学 食品科学
作者
Deyang Yu,Shasha Cheng,Yu Li,Wentao Su,Mingqian Tan
出处
期刊:Critical Reviews in Food Science and Nutrition [Informa]
卷期号:64 (33): 12448-12472 被引量:15
标识
DOI:10.1080/10408398.2023.2252904
摘要

AbstractWith the increasing concerns of food safety and public health, tremendous efforts have been concentrated on the development of effective, reliable, nondestructive methods to evaluate the freshness level of different kinds of food. Natural colorants-based intelligent colorimetric indicators which are typically constructed with natural colorants and polymer matrices has been regarded as an innovative approach to notify the customers and retailers of the food quality during the storage and transportation procedure in real-time. This review briefly elucidates the mechanism of natural colorants used for intelligent colorimetric indicators and fabrication methodologies of natural colorants-based food freshness indicators. Subsequently, their multifunctional applications in intelligent food packaging systems like antioxidant packaging, antimicrobial packaging, biodegradable packaging, UV-blocking packaging and inkless packaging are well introduced. This paper also summarizes several optimizing strategies for the practical application of this advanced technology from different perspectives. Strategies like adopting a hydrophobic matrix, constructing double-layer film and encapsulation have been developed to improve the stability of the indicators. Co-pigmentation, metal ion complexation, pigment-mixing and using substrates with high surface area are proved to be effective to enhance the sensitivity of the indicators. Approaches include multi-index evaluation, machine learning and smartphone-assisted evaluation have been proven to improve the accuracy of the intelligent food freshness indicators. Finally, future research opportunities and challenges are proposed. Based on the fundamental understanding of natural colorants-based intelligent colorimetric food freshness indicators, and the latest research and findings from literature, this review article will help to develop better, lower cost and more reliable food freshness evaluation technique for modern food industry.Keywords: Food freshness indicatornatural colorantcolorimetric sensorfood safety Disclosure statementNo potential conflict of interest was reported by the authors.Additional informationFundingThis research was funded by the National Natural Science Foundation of China [32202163], National Key Research and Development Program of China [2022YFD2100603], Doctoral Starting-up Foundation of Liaoning Science and Technology Department [2022-BS-268], Youth Science and Technology Star Program of Dalian [2022RQ046].
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
还单身的尔琴完成签到,获得积分10
1秒前
yilin完成签到,获得积分10
2秒前
YincLin发布了新的文献求助30
3秒前
天天快乐应助小伟采纳,获得10
5秒前
6秒前
7秒前
bkagyin应助魔幻垣采纳,获得10
7秒前
8秒前
11秒前
我不完成签到,获得积分10
11秒前
12秒前
13秒前
彭于晏应助xuanxuan采纳,获得10
15秒前
乐乐应助YincLin采纳,获得10
15秒前
15秒前
呆瓜发布了新的文献求助10
17秒前
万能图书馆应助zyx采纳,获得10
19秒前
20秒前
悦耳夜山发布了新的文献求助30
22秒前
调研昵称发布了新的文献求助20
23秒前
正直的鸭子完成签到,获得积分10
23秒前
zjspidany完成签到,获得积分10
24秒前
为十发布了新的文献求助10
25秒前
26秒前
27秒前
28秒前
29秒前
30秒前
30秒前
毛豆应助呆瓜采纳,获得10
33秒前
zyx发布了新的文献求助10
33秒前
一得发布了新的文献求助10
34秒前
魔幻垣发布了新的文献求助10
34秒前
vivia完成签到,获得积分10
39秒前
42秒前
zjspidany发布了新的文献求助10
43秒前
44秒前
44秒前
流落凡间的迪斯尼王子完成签到,获得积分10
45秒前
46秒前
高分求助中
Rock-Forming Minerals, Volume 3C, Sheet Silicates: Clay Minerals 2000
The late Devonian Standard Conodont Zonation 2000
Nickel superalloy market size, share, growth, trends, and forecast 2023-2030 2000
The Lali Section: An Excellent Reference Section for Upper - Devonian in South China 1500
Encyclopedia of Computational Mechanics,2 edition 800
The Healthy Socialist Life in Maoist China 600
The Vladimirov Diaries [by Peter Vladimirov] 600
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3271337
求助须知:如何正确求助?哪些是违规求助? 2910530
关于积分的说明 8354762
捐赠科研通 2580942
什么是DOI,文献DOI怎么找? 1403960
科研通“疑难数据库(出版商)”最低求助积分说明 656038
邀请新用户注册赠送积分活动 635468