LSPR‐based colorimetric biosensing for food quality and safety

生物传感器 纳米技术 表面等离子共振 计算机科学 食品安全 生化工程 分析物 材料科学 化学 纳米颗粒 工程类 食品科学 物理化学
作者
Weizheng Wang,Youngsang You,Sundaram Gunasekaran
出处
期刊:Comprehensive Reviews in Food Science and Food Safety [Wiley]
卷期号:20 (6): 5829-5855 被引量:50
标识
DOI:10.1111/1541-4337.12843
摘要

Abstract Ensuring consistently high quality and safety is paramount to food producers and consumers alike. Wet chemistry and microbiological methods provide accurate results, but those methods are not conducive to rapid, onsite testing needs. Hence, many efforts have focused on rapid testing for food quality and safety, including the development of various biosensors. Herein, we focus on a group of biosensors, which provide visually recognizable colorimetric signals within minutes and can be used onsite. Although there are different ways to achieve visual color‐change signals, we restrict our focus on sensors that exploit the localized surface plasmon resonance (LSPR) phenomenon of metal nanoparticles, primarily gold and silver nanoparticles. The typical approach in the design of LSPR biosensors is to conjugate biorecognition ligands on the surface of metal nanoparticles and allow the ligands to specifically recognize and bind the target analyte. This ligand–target binding reaction leads to a change in color of the test sample and a concomitant shift in the ultraviolet‐visual absorption peak. Various designs applying this and other signal generation schemes are reviewed with an emphasis on those applied for evaluating factors that compromise the quality and safety of food and agricultural products. The LSPR‐based colorimetric biosensing platform is a promising technology for enhancing food quality and safety. Aided by the advances in nanotechnology, this sensing technique lends itself easily for further development on field‐deployable platforms such as smartphones for onsite and end‐user applications.
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
刚刚
刚刚
王蝶完成签到 ,获得积分10
刚刚
1秒前
zz完成签到 ,获得积分10
1秒前
waddles完成签到,获得积分10
1秒前
1秒前
1秒前
Katyusha发布了新的文献求助20
1秒前
内向口红发布了新的文献求助10
2秒前
田様应助大陆采纳,获得10
2秒前
斯文败类应助yyy采纳,获得10
2秒前
羽翼应助欣喜皓轩采纳,获得10
3秒前
李某某完成签到,获得积分10
3秒前
Lucas应助玛卡巴卡小心点采纳,获得10
3秒前
爬得飞快的仲文博完成签到,获得积分10
4秒前
4秒前
无聊完成签到,获得积分10
4秒前
4秒前
4秒前
5秒前
Lucas应助彩虹小马采纳,获得10
5秒前
欢欢发布了新的文献求助10
5秒前
yqt完成签到,获得积分10
5秒前
距破之舞完成签到,获得积分10
5秒前
6秒前
牟玲艺发布了新的文献求助20
6秒前
研友_VZG7GZ应助爱听歌代芙采纳,获得10
6秒前
王五发布了新的文献求助10
6秒前
大大小小发布了新的文献求助10
7秒前
希望天下0贩的0应助Tsuki采纳,获得10
7秒前
充电宝应助猪猪猪采纳,获得10
7秒前
syy080837发布了新的文献求助10
8秒前
小蘑菇应助1947188918采纳,获得10
8秒前
合适冷霜发布了新的文献求助10
8秒前
yuliuism应助TPJH采纳,获得20
9秒前
wwwanfg完成签到,获得积分10
9秒前
orrrr发布了新的文献求助10
9秒前
10秒前
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
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Exploring Nostalgia 500
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 500
Advanced Memory Technology: Functional Materials and Devices 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5667567
求助须知:如何正确求助?哪些是违规求助? 4886514
关于积分的说明 15120741
捐赠科研通 4826376
什么是DOI,文献DOI怎么找? 2583992
邀请新用户注册赠送积分活动 1538029
关于科研通互助平台的介绍 1496163