Plasmonic filter paper substrates coated with antibacterial silver nanoparticles for the identification of trace Salmonella

IF 2.2 4区 化学 Q2 Engineering
Safaa Mustafa Hameed, Faten D. Mirjan, Akram Rostaminia, Sattar H. Abed, Hossein Khojasteh, Shaymaa Awad Kadhim, Peyman Aspoukeh, Vahid Eskandari
{"title":"Plasmonic filter paper substrates coated with antibacterial silver nanoparticles for the identification of trace Salmonella","authors":"Safaa Mustafa Hameed,&nbsp;Faten D. Mirjan,&nbsp;Akram Rostaminia,&nbsp;Sattar H. Abed,&nbsp;Hossein Khojasteh,&nbsp;Shaymaa Awad Kadhim,&nbsp;Peyman Aspoukeh,&nbsp;Vahid Eskandari","doi":"10.1007/s11696-024-03734-6","DOIUrl":null,"url":null,"abstract":"<div><p><i>Salmonella</i> is a common type of Gram-negative bacteria that is found in many food sources and can not only survive but also easily grow under unfavorable environmental conditions. Therefore, controlling <i>Salmonella</i> bacteria in agriculture, food, and processing industries is always a challenging issue, and the identification and detection of very small amounts of it are of great importance. Surface-enhanced Raman spectroscopy (SERS) has emerged as a reliable and accurate method for rapidly detecting small quantities of biological and chemical substances. In this study, a SERS biosensor was developed by utilizing a filter paper (FP) substrate that was coated with silver nanoparticles (AgNPs). The AgNPs were synthesized through a chemical reduction process and underwent characterization using DLS, UV–Vis, TEM, and FE-SEM. By coating the FP substrate with AgNPs, active plasmonic sites were created, enabling the detection of <i>Salmonella</i> molecular vibrations (MVs). When the FP substrate was exposed to <i>Salmonella</i>, an interaction occurred between the bacteria and the AgNPs, facilitating the identification of extremely low amounts of <i>Salmonella</i>. Additionally, the antibacterial properties of the AgNPs were observed. The SERS FP substrate exhibited the capability to detect <i>Salmonella</i> at concentrations as low as 10<sup>1</sup> CFU. Experimental measurements were conducted to obtain the Raman spectra and peak signals, and the reproducibility of the substrates was confirmed. The empirically calculated enhancement factor for identifying the <i>Salmonella</i> MVs was determined to be 1.448 × 10<sup>5</sup>; while, a numerical estimation yielded a value of 3.740 × 10<sup>5</sup>.</p></div>","PeriodicalId":513,"journal":{"name":"Chemical Papers","volume":"78 17","pages":"9147 - 9161"},"PeriodicalIF":2.2000,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemical Papers","FirstCategoryId":"92","ListUrlMain":"https://link.springer.com/article/10.1007/s11696-024-03734-6","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0

Abstract

Salmonella is a common type of Gram-negative bacteria that is found in many food sources and can not only survive but also easily grow under unfavorable environmental conditions. Therefore, controlling Salmonella bacteria in agriculture, food, and processing industries is always a challenging issue, and the identification and detection of very small amounts of it are of great importance. Surface-enhanced Raman spectroscopy (SERS) has emerged as a reliable and accurate method for rapidly detecting small quantities of biological and chemical substances. In this study, a SERS biosensor was developed by utilizing a filter paper (FP) substrate that was coated with silver nanoparticles (AgNPs). The AgNPs were synthesized through a chemical reduction process and underwent characterization using DLS, UV–Vis, TEM, and FE-SEM. By coating the FP substrate with AgNPs, active plasmonic sites were created, enabling the detection of Salmonella molecular vibrations (MVs). When the FP substrate was exposed to Salmonella, an interaction occurred between the bacteria and the AgNPs, facilitating the identification of extremely low amounts of Salmonella. Additionally, the antibacterial properties of the AgNPs were observed. The SERS FP substrate exhibited the capability to detect Salmonella at concentrations as low as 101 CFU. Experimental measurements were conducted to obtain the Raman spectra and peak signals, and the reproducibility of the substrates was confirmed. The empirically calculated enhancement factor for identifying the Salmonella MVs was determined to be 1.448 × 105; while, a numerical estimation yielded a value of 3.740 × 105.

Abstract Image

用于鉴定痕量沙门氏菌的涂有抗菌银纳米粒子的等离子滤纸基底
沙门氏菌是一种常见的革兰氏阴性菌,存在于许多食物来源中,在不利的环境条件下不仅可以存活,而且很容易生长。因此,控制农业、食品和加工业中的沙门氏菌始终是一个具有挑战性的问题,而识别和检测极少量的沙门氏菌则非常重要。表面增强拉曼光谱(SERS)已成为快速检测少量生物和化学物质的一种可靠而准确的方法。本研究利用涂有银纳米粒子(AgNPs)的滤纸(FP)基底开发了一种 SERS 生物传感器。AgNPs 是通过化学还原工艺合成的,并使用 DLS、UV-Vis、TEM 和 FE-SEM 进行了表征。在 FP 基质上涂覆 AgNPs 后,形成了活性等离子体位点,从而实现了对沙门氏菌分子振动(MV)的检测。当 FP 基底暴露于沙门氏菌时,细菌与 AgNPs 之间会发生相互作用,从而有助于识别极低量的沙门氏菌。此外,还观察到了 AgNPs 的抗菌特性。SERS FP 底物能够检测浓度低至 101 CFU 的沙门氏菌。通过实验测量获得了拉曼光谱和峰值信号,并确认了基底的可重复性。根据经验计算得出,识别沙门氏菌 MV 的增强因子为 1.448 × 105;而根据数值估算得出的值为 3.740 × 105。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Chemical Papers
Chemical Papers Chemical Engineering-General Chemical Engineering
CiteScore
3.30
自引率
4.50%
发文量
590
期刊介绍: Chemical Papers is a peer-reviewed, international journal devoted to basic and applied chemical research. It has a broad scope covering the chemical sciences, but favors interdisciplinary research and studies that bring chemistry together with other disciplines.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信