Advances in 3D printed sensors for food analysis

计算机科学
作者
Danilo M. dos Santos,Rafael M. Cardoso,Fernanda L. Migliorini,Murilo H.M. Facure,Luiza A. Mercante,L. H. C. Mattoso,Daniel S. Corrêa
出处
期刊:Trends in Analytical Chemistry [Elsevier]
卷期号:154: 116672-116672 被引量:36
标识
DOI:10.1016/j.trac.2022.116672
摘要

Food quality control is of utmost importance for human safety and health, requiring efficient and reliable analytical methods for food analysis. The advantageous features such as versatility, simplicity, reproducibility, accuracy, and relatively low cost have enabled 3D printing techniques to be employed in the design of portable sensors for the detection of varied food contaminants. This review aims at discussing recent advances in the use of 3D printing technologies for the design of sensing platforms and providing comprehensive insights into the application of such platforms for the detection of food contaminants such as heavy metals, pesticides, pathogens, mycotoxins, spoilage, allergens and adulterations on food as well as for the food flavor analysis. We focus on two points: 1) an overview of the most explored 3D printing technologies and transduction sensing mechanisms, and 2) the current state-of-the-art 3D printing for the preparation of sensors for monitoring food safety and quality. Emphasis is also placed on the development of hand-held and consumer-friendly 3D printed sensors, while challenges and obstacles that must be overcome to enable their practical application in food safety control along the food supply chain are also summarized. • Emerging 3D printed (bio)sensors for food analysis are critically reviewed. • 3D printed devices operating under distinct transductions mechanism are presented. • Emphasis is given on sensing devices for food quality and food safety analyses. • The limitations and future perspectives for 3D printed food sensors are discussed.

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
善学以致用应助dengbing2000采纳,获得10
刚刚
刚刚
superchili完成签到,获得积分10
刚刚
龙傲天完成签到 ,获得积分10
刚刚
Elissa完成签到,获得积分10
1秒前
直率冰烟发布了新的文献求助10
1秒前
1秒前
刺猬完成签到,获得积分10
1秒前
stella完成签到,获得积分10
1秒前
zhiren完成签到 ,获得积分10
1秒前
陈相秀发布了新的文献求助10
2秒前
冷茗完成签到,获得积分10
2秒前
2秒前
3秒前
3秒前
草莓派完成签到,获得积分10
4秒前
马婷婷完成签到,获得积分10
4秒前
深情安青应助独特乘云采纳,获得10
4秒前
xiaobai发布了新的文献求助10
4秒前
5秒前
泡芙发布了新的文献求助10
5秒前
Adian完成签到,获得积分10
5秒前
隐形曼青应助铁臂阿童木采纳,获得10
5秒前
Celine完成签到,获得积分10
5秒前
皮卡丘发布了新的文献求助10
5秒前
高兴的煎饼完成签到,获得积分10
6秒前
思源应助大力依萱采纳,获得10
6秒前
崔崔崔发布了新的文献求助10
6秒前
Jane发布了新的文献求助10
6秒前
Shion完成签到,获得积分10
6秒前
7秒前
stiger应助菊花茶采纳,获得50
7秒前
科研通AI2S应助JJiang采纳,获得10
7秒前
复杂的含蕾完成签到 ,获得积分10
7秒前
JamesPei应助阔达如柏采纳,获得30
8秒前
憨憨哈完成签到,获得积分10
9秒前
camera发布了新的文献求助10
9秒前
汉堡包应助小施采纳,获得10
9秒前
于锦程发布了新的文献求助10
10秒前
哈哈哈哈呵完成签到,获得积分10
10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
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Propeller Design 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6013693
求助须知:如何正确求助?哪些是违规求助? 7584806
关于积分的说明 16142587
捐赠科研通 5161165
什么是DOI,文献DOI怎么找? 2763532
邀请新用户注册赠送积分活动 1743689
关于科研通互助平台的介绍 1634421