Surface-Enhanced Raman Scattering (SERS) With Silver Nano Substrates Synthesized by Microwave for Rapid Detection of Foodborne Pathogens

银纳米粒子 拉曼散射 纳米技术 纳米颗粒 纳米银 沙门氏菌 化学 材料科学 细菌 拉曼光谱 纳米- 生物 光学 遗传学 物理 复合材料
作者
Caijiao Wei,Mei Li,Xihong Zhao
出处
期刊:Frontiers in Microbiology [Frontiers Media]
卷期号:9 被引量:79
标识
DOI:10.3389/fmicb.2018.02857
摘要

Rapid and sensitive methods have been developed to detect foodborne pathogens, a development that is important for food safety. The aim of this study is to explore Surface-enhanced Raman scattering (SERS) with silver nano substrates to detect and identify the following three foodborne pathogens: Escherichia coli O157: H7, Staphylococcus aureus and Salmonella. All the cells were resuspended with 10 mL silver colloidal nanoparticles, making a concentration of 107 CFU/mL, and were then exposed to 785 nm laser excitation. In this study, the results showed that all the bacteria can be sensitively and reproducibly detected directly by SERS. The distinctive differences can be observed in the SERS spectral data of the three food-borne pathogens, and the silver colloidal nanoparticles can be used as highly sensitive SERS-active substrates. In addition, the assay time required only a few minutes, which indicated that SERS coupled with the silver colloidal nanoparticles is a promising method for the detection and characterization of food-borne pathogens. At the same time, principle component analysis (PCA) and hierarchical cluster analysis (HCA) made the different bacterial strains clearly differentiated based on the barcode spectral data reduction. Therefore, the SERS methods hold great promise for the detection and identification of food-borne pathogens and even for applications in food safety.
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
1秒前
1秒前
科研通AI5应助个性的冰夏采纳,获得10
2秒前
zhu97发布了新的文献求助100
3秒前
kimk发布了新的文献求助10
4秒前
魔幻灯泡完成签到,获得积分10
5秒前
6秒前
小马过河应助神光采纳,获得10
6秒前
yx发布了新的文献求助10
6秒前
老实的小笼包完成签到,获得积分10
7秒前
坚强似狮发布了新的文献求助10
7秒前
踏实无敌应助出门见喜采纳,获得10
8秒前
罗伊黄完成签到 ,获得积分10
9秒前
认真柠檬完成签到,获得积分10
10秒前
erhan7完成签到,获得积分10
13秒前
机智傀斗完成签到,获得积分10
14秒前
华仔应助凯睿采纳,获得10
17秒前
善学以致用应助甜橙汁采纳,获得10
17秒前
Hanmos3624完成签到,获得积分10
18秒前
Orange应助Johnyang采纳,获得30
20秒前
文静的凡儿完成签到,获得积分10
21秒前
22秒前
桐桐应助平淡的烧鹅采纳,获得10
24秒前
神勇映安完成签到,获得积分10
24秒前
24秒前
25秒前
FashionBoy应助kimk采纳,获得10
27秒前
CATH发布了新的文献求助10
27秒前
memter发布了新的文献求助10
28秒前
斯文败类应助sajdhjas采纳,获得10
28秒前
大个应助GSQ采纳,获得10
29秒前
30秒前
香蕉觅云应助123采纳,获得10
31秒前
xcli完成签到,获得积分10
33秒前
青椒炒皮蛋完成签到 ,获得积分10
34秒前
ZYQ完成签到 ,获得积分10
36秒前
Lamis完成签到 ,获得积分10
37秒前
热心不凡完成签到,获得积分10
40秒前
柚子发布了新的文献求助10
41秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
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 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3737385
求助须知:如何正确求助?哪些是违规求助? 3281209
关于积分的说明 10023728
捐赠科研通 2997939
什么是DOI,文献DOI怎么找? 1644880
邀请新用户注册赠送积分活动 782304
科研通“疑难数据库(出版商)”最低求助积分说明 749762