Physical stability, microstructure and antimicrobial properties of konjac glucomannan coatings enriched with Litsea cubeba essential oil nanoemulsion and its effect on citruses preservation

流变学 抗菌剂 涂层 化学 食品科学 剪切减薄 精油 材料科学 化学工程 有机化学 复合材料 工程类
作者
Shangrong Lou,Xuewen Ni,Weilu Xiao,Yanlei Li,Zhiming Gao
出处
期刊:International Journal of Biological Macromolecules [Elsevier BV]
卷期号:256 (Pt 1): 128306-128306 被引量:41
标识
DOI:10.1016/j.ijbiomac.2023.128306
摘要

This study purposed to develop konjac glucomannan (KGM) based antimicrobial coatings containing Litsea cubeba essential oil nanoemulsion (LNE) for citruses preservation. Physical stability, rheological, structural and antimicrobial properties of the coating solutions were investigated, along with the release characteristics of Litsea cubeba essential oil (LCO). Results showed that the coating solutions displayed shear thinning behavior. The oil droplets were distributed homogeneously in KGM phase with good stability. The coating structure became loose with increasing LNE content due to LNE interfering with molecular interactions and entanglement of KGM. The coating solutions showed stronger antibacterial activity against Escherichia coli than against Staphylococcus aureus and were effective in inhibiting the growth of Penicillium italicum on citrus surfaces. KGM-LNE 10 negatively affected citruses due to phytotoxicity caused by high levels of LCO. LCO was released slowly and continuously from the coatings, and its release was faster in deionized water than in an ethanol-water solution. KGM-LNE 2.5 coated citruses had the least weight loss, the greatest hardness, and kept the minimum changes in total soluble solids, total acid and vitamin C content, implying that KGM-LNE 2.5 best maintained the quality of citruses. The findings suggest that KGM-based coatings containing LNE have high potential for citruses preservation.
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
紫沫完成签到,获得积分10
1秒前
坚强枫完成签到,获得积分10
1秒前
坦率坤完成签到,获得积分10
1秒前
留胡子的凡松完成签到,获得积分20
2秒前
英俊的铭应助绫小路采纳,获得10
2秒前
彩虹大侠发布了新的文献求助30
2秒前
Yasmine发布了新的文献求助10
2秒前
2秒前
清爽慕山发布了新的文献求助10
2秒前
max完成签到 ,获得积分10
3秒前
3秒前
英姑应助Emilio采纳,获得10
4秒前
zhangbaolong发布了新的文献求助10
4秒前
新小pi发布了新的文献求助10
4秒前
ali完成签到,获得积分10
5秒前
orixero应助zuijiasunyou采纳,获得10
5秒前
章氟承完成签到,获得积分10
5秒前
5秒前
5秒前
跳跃的访曼完成签到,获得积分10
5秒前
sherlym发布了新的文献求助10
5秒前
CipherSage应助mlx采纳,获得10
5秒前
李爱国应助孔凡悦采纳,获得10
6秒前
6秒前
打打应助最专业采纳,获得10
6秒前
6秒前
1123048683wm发布了新的文献求助10
6秒前
7秒前
7秒前
乐乐应助AoAoo采纳,获得10
7秒前
TGH发布了新的文献求助10
7秒前
8秒前
隔壁小孩完成签到,获得积分10
8秒前
8秒前
七颗小葡萄完成签到,获得积分10
8秒前
头哥完成签到,获得积分10
8秒前
Lucas应助要减肥的宛儿采纳,获得30
9秒前
catank应助Silverexile采纳,获得10
9秒前
成就笑寒发布了新的文献求助10
9秒前
汉堡包应助tyx采纳,获得10
9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
Römisch-Germanische Forschungen 1000
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7609387
求助须知:如何正确求助?哪些是违规求助? 9184955
关于积分的说明 19674839
捐赠科研通 7183043
什么是DOI,文献DOI怎么找? 3270180
关于科研通互助平台的介绍 2433897
邀请新用户注册赠送积分活动 2264692