Detection and absolute quantification biosensing tools for food authentication: CRISPR/Cas, digital CRISPR and beyond

清脆的 数字聚合酶链反应 认证(法律) 计算机科学 计算生物学 生化工程 生物技术 计算机安全 生物 工程类 聚合酶链反应 遗传学 基因
作者
Xiaolin Wu,Xuanming Lou,Hanzhang Zhou,Joshua Jebaraj Raymond,Leng Gek Kwang,F. Ong,Stacy L. Springs,Hanry Yu
出处
期刊:Trends in Food Science and Technology [Elsevier BV]
卷期号:145: 104349-104349 被引量:26
标识
DOI:10.1016/j.tifs.2024.104349
摘要

Food authenticity is essential to protect against fraudulent activities and ensure food safety. However, traditional authentication methods have limited capabilities due to lengthy testing period, bulky equipment, and low sensitivity and specificity. To address this, CRISPR/Cas and digital CRISPR (dCRISPR) have emerged as potential tools for quick and reliable food authentication. This review focuses on the CRISPR/Cas system and absolute quantification technologies, like sample partitioning-based dCRISPR, for food authentication. It provides a detailed overview of various Cas proteins for detection, diverse amplification methods to enhance signal, and different digital sample partitioning techniques facilitating absolute quantification. Notably, it explores the latest advancements of CRISPR/Cas and digital assays for food authentication applications. Furthermore, it discusses the potential opportunities and challenges that CRISPR/Cas and dCRISPR present in food authentication. CRISPR/Cas and dCRISPR are ground breaking technologies for food authentication. When combined with digital sample partitioning, dCRISPR become even more sensitive and accurate than normal CRISPR/Cas-based detection, while also providing absolute quantification. These techniques can detect and quantify food adulterants, identify genetically modified food, distinguish closely-related species, and authenticate clean labels. With improved performance, CRISPR/Cas and dCRISPR have the potential to revolutionize the food supply chain.
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
yixin完成签到,获得积分20
刚刚
Aline发布了新的文献求助10
刚刚
魔幻的如冰完成签到,获得积分10
刚刚
Hello应助轻松元珊采纳,获得10
刚刚
刚刚
高高兴兴发布了新的文献求助10
1秒前
星辰大海应助liyuwei采纳,获得30
1秒前
lingling发布了新的文献求助10
1秒前
1秒前
orixero应助ccc采纳,获得30
2秒前
个性的电源完成签到,获得积分10
2秒前
爆米花应助Ann采纳,获得10
2秒前
2秒前
2秒前
2秒前
成就的沛菡完成签到 ,获得积分10
3秒前
dan发布了新的文献求助10
3秒前
靓丽忆灵完成签到,获得积分10
3秒前
LS发布了新的文献求助10
4秒前
寞失发布了新的文献求助10
4秒前
科研通AI6.4应助认真幼萱采纳,获得10
4秒前
田12发布了新的文献求助10
5秒前
5秒前
傲娇梦旋发布了新的文献求助10
5秒前
5秒前
SciGPT应助linqishi采纳,获得10
5秒前
6秒前
6秒前
6秒前
6秒前
Yang_728发布了新的文献求助80
6秒前
小小鸟完成签到,获得积分10
7秒前
老毕登发布了新的文献求助10
7秒前
王明初发布了新的文献求助10
8秒前
8秒前
研友_VZG7GZ应助平淡冬亦采纳,获得10
8秒前
8秒前
Ann完成签到,获得积分10
8秒前
非常想毕业完成签到,获得积分20
9秒前
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
Autoparametric Resonance in Mechanical Systems 1000
Effects of Two Weeks of Red Light Therapy on Choroidal Thickness and Axial Length in Young Adults 700
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 600
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Rutherford's Vascular Surgery and Endovascular Therapy, 2‑Volume Set, 11th Edition 480
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 7665176
求助须知:如何正确求助?哪些是违规求助? 9235206
关于积分的说明 19871898
捐赠科研通 7234329
什么是DOI,文献DOI怎么找? 3283354
关于科研通互助平台的介绍 2442226
邀请新用户注册赠送积分活动 2284449