<p>This article explores a high-performance surface plasmon resonance sensor for the detection of bacterial cells of <i>Escherichia coli</i> (<i>E. coli</i>), <i>Serratia marcescens</i>, and <i>Micrococcus lysodeikticus</i> employing lithium niobate and blue phosphorus/TMDC heterostructure. The Kretschmann configuration-based proposed sensor’s performance is analyzed by exploiting the transfer matrix method at a wavelength of 633&#xa0;nm. Results show that the maximum attained parameters are a quality factor of 163.46 <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11468_2025_2801_Article_IEq1.gif" Format="GIF" Height="17" Rendition="HTML" Resolution="72" Type="Linedraw" Width="52" /> </InlineMediaObject> <EquationSource Format="TEX">\({RIU}^{-1}\)</EquationSource> <EquationSource Format="MATHML"><math> <msup> <mrow> <mi mathvariant="italic">RIU</mi> </mrow> <mrow> <mo>-</mo> <mn>1</mn> </mrow> </msup> </math></EquationSource> </InlineEquation>, a detection accuracy of 60.30, and dip of figure of merit of 5809.12 for the proposed sensor. The comparative study confirms that the proposed sensor exhibits a significant improvement in terms of quality factor and detection accuracy and provides acceptable sensitivity.</p>

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High-Performance SPR Sensors for Waterborne Bacteria in Drinking Water Detection Using Lithium Niobate and BlueP/TDMC Heterostructure-Based Structure

  • Akash Katakamsetty,
  • Sahiti Vankayalapati,
  • Yesudasu Vasimalla,
  • Sourabh Jain,
  • Jyothsna Vaadaala,
  • Suman Maloji,
  • Santosh Kumar

摘要

This article explores a high-performance surface plasmon resonance sensor for the detection of bacterial cells of Escherichia coli (E. coli), Serratia marcescens, and Micrococcus lysodeikticus employing lithium niobate and blue phosphorus/TMDC heterostructure. The Kretschmann configuration-based proposed sensor’s performance is analyzed by exploiting the transfer matrix method at a wavelength of 633 nm. Results show that the maximum attained parameters are a quality factor of 163.46 \({RIU}^{-1}\) RIU - 1 , a detection accuracy of 60.30, and dip of figure of merit of 5809.12 for the proposed sensor. The comparative study confirms that the proposed sensor exhibits a significant improvement in terms of quality factor and detection accuracy and provides acceptable sensitivity.