Detection of Cancer Type Cells Using Surface Plasmon Resonance Employing Copper, Perovskite, and MXene Layer with Sensitivity Enhancement

IF 4.3 4区 物理与天体物理 Q2 CHEMISTRY, PHYSICAL
Kishore Kumar Venkatesan, Sathiyan Samikannu, Shivam Singh
{"title":"Detection of Cancer Type Cells Using Surface Plasmon Resonance Employing Copper, Perovskite, and MXene Layer with Sensitivity Enhancement","authors":"Kishore Kumar Venkatesan,&nbsp;Sathiyan Samikannu,&nbsp;Shivam Singh","doi":"10.1007/s11468-024-02742-2","DOIUrl":null,"url":null,"abstract":"<div><p>One of the most common diseases in life, cancer cells are a major global health concern for people everywhere. An essential precondition for optimizing treatment outcomes is timely detection. Thus, it is imperative to address the issue of the quick and accurate identification of malignant cancer cells. This work proposes a theoretically surface plasmon resonance (SPR)-based sensor for the identification of various cancer type cells. It consists of prism (BK7), copper (Cu), hybrid organic–inorganic halide perovskites (<b><i>MAPbX</i></b><span>\\(_{\\varvec{3}}\\)</span> = <b><i>CH</i></b><span>\\(_{\\varvec{3}}\\)</span> <b><i>NH</i></b><span>\\(_{\\varvec{3}}\\)</span> <b><i>PbY</i></b><span>\\(_{\\varvec{3}}\\)</span>, with M=<b><i>CH</i></b><span>\\(_{\\varvec{3}}\\)</span>, A =<b><i>NH</i></b><span>\\(_{\\varvec{3}}\\)</span>, and Y = Br), and MXene layer. The perovskite-based sensor that is suggested performs more efficiently than the traditional one. For the optimal SPR sensor, layers of Cu, perovskite, and MXene have been optimized. The best thicknesses for Cu (33–43nm) and <b><i>MAPbBr</i></b><span>\\(_{\\varvec{3}}\\)</span> (10 nm) as with MXene layer lead to the highest achieved sensitivity of 307.18 deg/RIU with remarkable detection accuracy (DA) and figure of merit (FoM) of 0.161/deg and 49.45/RIU, respectively. Compared to the most recent work that makes use of SPR configuration, this sensitivity is extremely high. Consequently, the proposed SPR sensor is a strong candidate for various biosensing applications.</p></div>","PeriodicalId":736,"journal":{"name":"Plasmonics","volume":"20 9","pages":"6951 - 6961"},"PeriodicalIF":4.3000,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Plasmonics","FirstCategoryId":"101","ListUrlMain":"https://link.springer.com/article/10.1007/s11468-024-02742-2","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0

Abstract

One of the most common diseases in life, cancer cells are a major global health concern for people everywhere. An essential precondition for optimizing treatment outcomes is timely detection. Thus, it is imperative to address the issue of the quick and accurate identification of malignant cancer cells. This work proposes a theoretically surface plasmon resonance (SPR)-based sensor for the identification of various cancer type cells. It consists of prism (BK7), copper (Cu), hybrid organic–inorganic halide perovskites (MAPbX\(_{\varvec{3}}\) = CH\(_{\varvec{3}}\) NH\(_{\varvec{3}}\) PbY\(_{\varvec{3}}\), with M=CH\(_{\varvec{3}}\), A =NH\(_{\varvec{3}}\), and Y = Br), and MXene layer. The perovskite-based sensor that is suggested performs more efficiently than the traditional one. For the optimal SPR sensor, layers of Cu, perovskite, and MXene have been optimized. The best thicknesses for Cu (33–43nm) and MAPbBr\(_{\varvec{3}}\) (10 nm) as with MXene layer lead to the highest achieved sensitivity of 307.18 deg/RIU with remarkable detection accuracy (DA) and figure of merit (FoM) of 0.161/deg and 49.45/RIU, respectively. Compared to the most recent work that makes use of SPR configuration, this sensitivity is extremely high. Consequently, the proposed SPR sensor is a strong candidate for various biosensing applications.

利用铜、钙钛矿和MXene层表面等离子体共振检测癌型细胞的灵敏度增强
作为生命中最常见的疾病之一,癌细胞是世界各地人们关注的主要全球健康问题。优化治疗效果的一个必要前提是及时发现。因此,如何快速准确地识别恶性肿瘤细胞已成为迫切需要解决的问题。本工作提出了一种基于表面等离子体共振(SPR)的传感器,用于各种癌症类型细胞的识别。它由棱镜(BK7)、铜(Cu)、杂化有机-无机卤化物钙钛矿(MAPbX \(_{\varvec{3}}\) =CH \(_{\varvec{3}}\) NH \(_{\varvec{3}}\) PbY \(_{\varvec{3}}\),其中M=CH \(_{\varvec{3}}\), A =NH \(_{\varvec{3}}\), Y = Br)和MXene层组成。所提出的基于钙钛矿的传感器比传统的传感器效率更高。对于最佳的SPR传感器,优化了Cu,钙钛矿和MXene层。与MXene层相比,Cu (33-43nm)和MAPbBr \(_{\varvec{3}}\) (10 nm)的最佳厚度可获得最高灵敏度307.18 deg/RIU,检测精度(DA)和品质系数(FoM)分别为0.161/deg和49.45/RIU。与最近使用SPR配置的工作相比,这种灵敏度非常高。因此,所提出的SPR传感器是各种生物传感应用的有力候选者。
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
Plasmonics
Plasmonics 工程技术-材料科学:综合
CiteScore
5.90
自引率
6.70%
发文量
164
审稿时长
2.1 months
期刊介绍: Plasmonics is an international forum for the publication of peer-reviewed leading-edge original articles that both advance and report our knowledge base and practice of the interactions of free-metal electrons, Plasmons. Topics covered include notable advances in the theory, Physics, and applications of surface plasmons in metals, to the rapidly emerging areas of nanotechnology, biophotonics, sensing, biochemistry and medicine. Topics, including the theory, synthesis and optical properties of noble metal nanostructures, patterned surfaces or materials, continuous or grated surfaces, devices, or wires for their multifarious applications are particularly welcome. Typical applications might include but are not limited to, surface enhanced spectroscopic properties, such as Raman scattering or fluorescence, as well developments in techniques such as surface plasmon resonance and near-field scanning optical microscopy.
×
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:604180095
Book学术官方微信