Highly sensitive detection of Brucella in milk by cysteamine functionalized nanogold/4-Mercaptobenzoic acid electrochemical biosensor

检出限 生物传感器 线性范围 化学 色谱法 电极 核化学 材料科学
作者
Hongshuo Chen,Haibin Liu,Chuanjin Cui,Xuechao Zhang,Wei Yang,Yueming Zuo
出处
期刊:Journal of Food Measurement and Characterization [Springer Nature]
标识
DOI:10.1007/s11694-022-01428-9
摘要

To effectively cut off the transmission of Brucella to humans through milk, a novel biosensor for detection of Brucella was constructed using cysteamine functionalized nanogold (Cys-Au) and 4-Mercaptobenzoic acid (4-MBA) modified gold electrode as the platform. The morphology of the prepared nanomaterials was characterized by laser particle sizer, XPS and SEM, and the results showed the 4-MBA film was modified on the gold electrode surface, and the diameter of successfully prepared nanogold and Cys-Au are about 55 and 65 nm, respectively. The electrochemical performance of the biosensor was tested in Brucella antigen solution by square wave voltammetry (SWV). The results showed the reproducibility and stability of the biosensor were good, the spiked recovery in milk was in the range of 95.12–105.27%, and the minimum detection limit (S/N = 3) was 5.12 × 102 cfu/mL with a linear range from 1.6 × 102 to 1.6 × 108 cfu/mL. In addition, the minimum detection limit was reduced from 5.12 × 102 cfu/mL to 7.0 × 101 cfu/mL after processing the SWV data by second-order derivative transformation, which showed Second-order derivative transformation is very helpful to further optimize the performance of the sensor. Compared with the previously reported test methods, the prepared biosensors have a wider linear range and lower limit of detection (LOD). Therefore, the constructed biosensor can be used as a promising tool for the trace detection of Brucella in milk samples.
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
LLL完成签到 ,获得积分10
刚刚
sanyecao383完成签到,获得积分10
刚刚
Draeck完成签到,获得积分10
1秒前
cruise完成签到,获得积分10
1秒前
在水一方应助念念采纳,获得10
1秒前
1秒前
2秒前
万能图书馆应助动听导师采纳,获得10
2秒前
MADKAI发布了新的文献求助10
2秒前
科研通AI5应助蒋念寒采纳,获得10
3秒前
ric发布了新的文献求助200
3秒前
Li完成签到,获得积分10
3秒前
3秒前
min17完成签到,获得积分10
4秒前
4秒前
小黄发布了新的文献求助10
4秒前
Lucas应助dldddz采纳,获得10
5秒前
5秒前
柠木发布了新的文献求助10
5秒前
郭泓嵩完成签到,获得积分10
6秒前
自由刺猬发布了新的文献求助20
6秒前
weddcf发布了新的文献求助10
6秒前
江月年完成签到 ,获得积分10
6秒前
ZHANG_Kun完成签到 ,获得积分10
6秒前
bin0920完成签到,获得积分10
7秒前
8秒前
8秒前
cruise发布了新的文献求助10
8秒前
向日葵的Rui完成签到,获得积分10
8秒前
小xy发布了新的文献求助10
8秒前
9秒前
香蕉觅云应助青石采纳,获得10
9秒前
科目三应助yangyang采纳,获得10
9秒前
仄兀发布了新的文献求助10
9秒前
小小鱼发布了新的文献求助10
9秒前
孙成成完成签到 ,获得积分10
10秒前
ee完成签到,获得积分10
10秒前
刘德华完成签到,获得积分10
10秒前
Disci完成签到,获得积分10
10秒前
10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 3527469
求助须知:如何正确求助?哪些是违规求助? 3107497
关于积分的说明 9285892
捐赠科研通 2805298
什么是DOI,文献DOI怎么找? 1539865
邀请新用户注册赠送积分活动 716714
科研通“疑难数据库(出版商)”最低求助积分说明 709678