<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 (<Emphasis Type="BoldItalic">MAPbX</Emphasis><InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11468_2024_2742_Article_IEq1.gif" Format="GIF" Height="10" Rendition="HTML" Resolution="72" Type="Linedraw" Width="8" /> </InlineMediaObject> <EquationSource Format="TEX">$_{\varvec{3}}$</EquationSource> <EquationSource Format="MATHML"><math> <mmultiscripts> <mrow /> <mrow> <mn mathvariant="bold">3</mn> </mrow> <mrow /> </mmultiscripts> </math></EquationSource> </InlineEquation> = <Emphasis Type="BoldItalic">CH</Emphasis><InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11468_2024_2742_Article_IEq1.gif" Format="GIF" Height="10" Rendition="HTML" Resolution="72" Type="Linedraw" Width="8" /> </InlineMediaObject> <EquationSource Format="TEX">$_{\varvec{3}}$</EquationSource> <EquationSource Format="MATHML"><math> <mmultiscripts> <mrow /> <mrow> <mn mathvariant="bold">3</mn> </mrow> <mrow /> </mmultiscripts> </math></EquationSource> </InlineEquation> <Emphasis Type="BoldItalic">NH</Emphasis><InlineEquation ID="IEq3"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11468_2024_2742_Article_IEq1.gif" Format="GIF" Height="10" Rendition="HTML" Resolution="72" Type="Linedraw" Width="8" /> </InlineMediaObject> <EquationSource Format="TEX">$_{\varvec{3}}$</EquationSource> <EquationSource Format="MATHML"><math> <mmultiscripts> <mrow /> <mrow> <mn mathvariant="bold">3</mn> </mrow> <mrow /> </mmultiscripts> </math></EquationSource> </InlineEquation> <Emphasis Type="BoldItalic">PbY</Emphasis><InlineEquation ID="IEq4"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11468_2024_2742_Article_IEq1.gif" Format="GIF" Height="10" Rendition="HTML" Resolution="72" Type="Linedraw" Width="8" /> </InlineMediaObject> <EquationSource Format="TEX">$_{\varvec{3}}$</EquationSource> <EquationSource Format="MATHML"><math> <mmultiscripts> <mrow /> <mrow> <mn mathvariant="bold">3</mn> </mrow> <mrow /> </mmultiscripts> </math></EquationSource> </InlineEquation>, with M=<Emphasis Type="BoldItalic">CH</Emphasis><InlineEquation ID="IEq5"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11468_2024_2742_Article_IEq1.gif" Format="GIF" Height="10" Rendition="HTML" Resolution="72" Type="Linedraw" Width="8" /> </InlineMediaObject> <EquationSource Format="TEX">$_{\varvec{3}}$</EquationSource> <EquationSource Format="MATHML"><math> <mmultiscripts> <mrow /> <mrow> <mn mathvariant="bold">3</mn> </mrow> <mrow /> </mmultiscripts> </math></EquationSource> </InlineEquation>, A =<Emphasis Type="BoldItalic">NH</Emphasis><InlineEquation ID="IEq6"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11468_2024_2742_Article_IEq1.gif" Format="GIF" Height="10" Rendition="HTML" Resolution="72" Type="Linedraw" Width="8" /> </InlineMediaObject> <EquationSource Format="TEX">$_{\varvec{3}}$</EquationSource> <EquationSource Format="MATHML"><math> <mmultiscripts> <mrow /> <mrow> <mn mathvariant="bold">3</mn> </mrow> <mrow /> </mmultiscripts> </math></EquationSource> </InlineEquation>, 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 <Emphasis Type="BoldItalic">MAPbBr</Emphasis><InlineEquation ID="IEq7"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11468_2024_2742_Article_IEq1.gif" Format="GIF" Height="10" Rendition="HTML" Resolution="72" Type="Linedraw" Width="8" /> </InlineMediaObject> <EquationSource Format="TEX">$_{\varvec{3}}$</EquationSource> <EquationSource Format="MATHML"><math> <mmultiscripts> <mrow /> <mrow> <mn mathvariant="bold">3</mn> </mrow> <mrow /> </mmultiscripts> </math></EquationSource> </InlineEquation> (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>

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

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发表日期：

2025年1月10日

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Kishore Kumar Venkatesan,
Sathiyan Samikannu,
Shivam Singh

摘要

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 $_{\varvec{3}}$ $_{3}$ = CH $_{\varvec{3}}$ $_{3}$ NH $_{\varvec{3}}$ $_{3}$ PbY $_{\varvec{3}}$ $_{3}$ , with M=CH $_{\varvec{3}}$ $_{3}$ , A =NH $_{\varvec{3}}$ $_{3}$ , 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 $_{\varvec{3}}$ $_{3}$ (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.