Triboelectric Nanogenerator-Based Electronic Sensor System for Food Applications

摩擦电效应 背景(考古学) 纳米发生器 领域(数学) 物联网 纳米技术 食品工业 系统工程 工程类 计算机科学 生化工程 电气工程 计算机安全 材料科学 法学 复合材料 纯数学 电压 古生物学 生物 数学 政治学
作者
Yutong Wang,Weifeng Jin,Lang‐Hong Wang,Zhiyuan Zhu
出处
期刊:Electronics [MDPI AG]
卷期号:12 (23): 4880-4880
标识
DOI:10.3390/electronics12234880
摘要

Triboelectric nanogenerators (TENGs) have garnered significant attention due to their ability to efficiently harvest energy from the surrounding environment and from living organisms, as well as to enable the efficient utilization of various materials, such as organic polymers, metals, and inorganic compounds. As a result, TENGs represent an emerging class of self-powered devices that can power small sensors or serve as multifunctional sensors themselves to detect a variety of physical and chemical stimuli. In this context, TENGs are expected to play a pivotal role in the entire process of food manufacturing. The rapid development of the Internet of Things and sensor technology has built a huge platform for sensor systems for food testing. TENG-based sensor data provide novel judgment and classification features, offering a fast and convenient means of food safety detection. This review comprehensively summarizes the latest progress in the application of TENGs in the food field, mainly involving food quality testing, food monitoring, food safety, and agricultural production. We also introduce different TENG-based, self-powered devices for food detection and improvement from the perspective of material strategies and manufacturing solutions. Finally, we discuss the current challenges and potential opportunities for future development of TENGs in the food field. We hope that this work can provide new insights into the structural and electronic design of TENGs, thereby benefiting environmental protection and food health.
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
万能图书馆应助王亚茹采纳,获得10
1秒前
所所应助刘小小123采纳,获得10
4秒前
ALDRC完成签到,获得积分10
4秒前
banyingmm完成签到,获得积分10
4秒前
贼拉瘦的美神完成签到,获得积分10
4秒前
重要灵寒发布了新的文献求助10
5秒前
所所应助我就是KKKK采纳,获得10
6秒前
7秒前
7秒前
JYlYZ完成签到,获得积分10
8秒前
乐乐应助Paddi采纳,获得10
11秒前
饺子发布了新的文献求助10
11秒前
whyme完成签到,获得积分10
11秒前
13秒前
犹豫的箴完成签到,获得积分10
13秒前
14秒前
甜甜的以筠完成签到 ,获得积分10
15秒前
可爱的函函应助重要灵寒采纳,获得10
16秒前
脑洞疼应助穷逼学校采纳,获得10
16秒前
俭朴仇血完成签到,获得积分10
17秒前
雨打风吹去完成签到 ,获得积分10
18秒前
18秒前
科研通AI2S应助十一采纳,获得10
18秒前
phoenix完成签到,获得积分0
19秒前
Du完成签到,获得积分10
19秒前
北城发布了新的文献求助10
19秒前
刘小小123发布了新的文献求助10
20秒前
20秒前
科研通AI2S应助mbf采纳,获得10
21秒前
21秒前
小蘑菇应助整齐百褶裙采纳,获得10
21秒前
传奇3应助磬筱采纳,获得10
21秒前
勿昂完成签到 ,获得积分10
22秒前
只谈风月发布了新的文献求助10
23秒前
24秒前
24秒前
24秒前
24秒前
Ava应助Yang采纳,获得10
24秒前
OncE完成签到,获得积分10
24秒前
高分求助中
Solution Manual for Strategic Compensation A Human Resource Management Approach 1200
Natural History of Mantodea 螳螂的自然史 1000
Glucuronolactone Market Outlook Report: Industry Size, Competition, Trends and Growth Opportunities by Region, YoY Forecasts from 2024 to 2031 800
A Photographic Guide to Mantis of China 常见螳螂野外识别手册 800
Zeitschrift für Orient-Archäologie 500
Smith-Purcell Radiation 500
Autoregulatory progressive resistance exercise: linear versus a velocity-based flexible model 500
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 物理化学 催化作用 细胞生物学 免疫学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3342901
求助须知:如何正确求助?哪些是违规求助? 2970015
关于积分的说明 8642260
捐赠科研通 2649937
什么是DOI,文献DOI怎么找? 1451003
科研通“疑难数据库(出版商)”最低求助积分说明 672062
邀请新用户注册赠送积分活动 661374