Amplification-free quantitative detection of genomic DNA using lateral flow strips for milk authentication

核酸 DNA 乳品工业 变性(裂变材料) 计算生物学 生化工程 生物 食品科学 生物技术 化学 计算机科学 生物化学 工程类 核化学
作者
Nan Wang,Juan Zhang,Bin Xiao,Xiaoyun Sun,Jiaci Chen,Fengchun Huang,Ailiang Chen
出处
期刊:Biosensors and Bioelectronics [Elsevier]
卷期号:252: 116140-116140 被引量:3
标识
DOI:10.1016/j.bios.2024.116140
摘要

With the globalization and complexity of the food supply chain, the market is becoming increasingly competitive and food fraudulent activities are intensifying. The current state of food detection faced two primary challenges. Firstly, existing testing methods were predominantly laboratory-based, requiring complex procedures and precision instruments. Secondly, there was a lack of accurate and efficient quantitative detection methods. Taking cow's milk as an example, this study introduced a novel method for nucleic acid quantification in dairy products, based on lateral flow strips (LFS). The core idea of this method is to design single-stranded DNA (ssDNA) probes to hybridize with mitochondrial genes, which are abundant, stable, and species-specific in dairy products, as detection targets. Drawing inspiration from the principles of nucleic acid amplification, this research innovatively established a new DNA hybridization method, named LAMP-Like Hybridization (HybLAMP-Like). Leveraging the denaturation and DNA polymerization functions of the bst enzyme, efficient binding of the probe and template strand was achieved. This method eliminated the need for nucleic acid amplification, simplifying the procedure and mitigating aerosol contamination, thereby ensuring the accuracy of the detection results. The method exhibited exceptional sensitivity, capable of detecting extremely low to 12.5 ng in visual inspection and 3.125 ng when using a reader. In terms of practicality, it could achieve visual detection of cow's milk content as low as 1% in adulterated dairy products. When combined with a portable LFS reader, it also enabled precise quantitative analysis of milk adulteration.
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
一一发布了新的文献求助20
刚刚
刚刚
Aixia完成签到 ,获得积分10
1秒前
葡萄糖完成签到,获得积分10
1秒前
哈哈完成签到,获得积分10
1秒前
在水一方应助CC采纳,获得10
1秒前
1秒前
余笙完成签到 ,获得积分10
2秒前
神勇的雅香应助科研混子采纳,获得10
2秒前
TT发布了新的文献求助10
3秒前
李顺完成签到,获得积分20
4秒前
ayin发布了新的文献求助10
4秒前
wait发布了新的文献求助10
4秒前
我是站长才怪应助xg采纳,获得10
5秒前
童话艺术佳完成签到,获得积分10
5秒前
稀罕你完成签到,获得积分10
5秒前
junzilan发布了新的文献求助10
5秒前
anny.white完成签到,获得积分10
6秒前
科研通AI5应助平常的毛豆采纳,获得10
8秒前
SciGPT应助paul采纳,获得10
11秒前
13秒前
英姑应助书生采纳,获得10
14秒前
科研钓鱼佬完成签到,获得积分10
15秒前
17秒前
petrichor应助C_Cppp采纳,获得10
17秒前
nan完成签到,获得积分10
17秒前
17秒前
18秒前
18秒前
勤恳的雨文完成签到,获得积分10
18秒前
木森ab发布了新的文献求助10
19秒前
paul完成签到,获得积分10
19秒前
小鞋完成签到,获得积分10
20秒前
开心青旋发布了新的文献求助10
20秒前
fztnh发布了新的文献求助10
20秒前
无名花生完成签到 ,获得积分10
20秒前
22秒前
23秒前
23秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527990
求助须知:如何正确求助?哪些是违规求助? 3108173
关于积分的说明 9287913
捐赠科研通 2805882
什么是DOI,文献DOI怎么找? 1540119
邀请新用户注册赠送积分活动 716941
科研通“疑难数据库(出版商)”最低求助积分说明 709824