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<p>In this paper, we propose a simple 2D-colloidal photonic crystal (CPhC) based biosensor to detect cancer infected cells (Jurkat, HeLa, PC12, MDA-MB-231, MCF-7, White matter, Low grade glioma and Glioblastoma) in human body. The structure of the proposed biosensor consists of 13 × 13 array of titania (TiO<sub>2</sub>) nanospheres embedded in an air matrix featured by a nanocavity within the lattice. The incorporation of nanocavity in the CPhC template results in a sharp confinement of electric field, makes it effective for detecting diseased cells. Detection is based on the resonance peak shifts when the cancer cells are introduced into the nanocavity. The reflection spectrum and electric field distribution of the biosensor are investigated by performing numerical electromagnetic simulations based on finite element method (FEM). We calculated the sensitivity (<InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\:S\)</EquationSource> </InlineEquation>) and quality factor (<InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(\:Q\)</EquationSource> </InlineEquation>) of the proposed biosensor for CPhC templates with both hexagonal and square lattice arrangements. A performance comparison with previously reported cancer sensors for Jurkat cancer cells reveals that our hexagonally arranged biosensor achieves an optimal balance between <InlineEquation ID="IEq3"> <EquationSource Format="TEX">\(\:Q\)</EquationSource> </InlineEquation> and <InlineEquation ID="IEq4"> <EquationSource Format="TEX">\(\:S\)</EquationSource> </InlineEquation>, with maximum values reaching <InlineEquation ID="IEq5"> <EquationSource Format="TEX">\(\:0.97\times\:{10}^{5}\)</EquationSource> </InlineEquation> and 318.000&#xa0;nm/RIU, respectively. Moreover, our biosensor design utilizes the self-assembly of colloidal particles, offering a time-efficient and cost effective fabrication process. Hence, eliminates the need for expensive lithographic techniques commonly employed in many previous biosensor models.</p>

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Two-dimensional colloidal photonic crystal biosensor for refractive index-based cancer detection

  • 期刊论文

  • 发表日期：

    2025年11月19日

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  • Saisavadas M. V,
  • Saranya Narayanan,
  • B. V. R. Tata

摘要

In this paper, we propose a simple 2D-colloidal photonic crystal (CPhC) based biosensor to detect cancer infected cells (Jurkat, HeLa, PC12, MDA-MB-231, MCF-7, White matter, Low grade glioma and Glioblastoma) in human body. The structure of the proposed biosensor consists of 13 × 13 array of titania (TiO2) nanospheres embedded in an air matrix featured by a nanocavity within the lattice. The incorporation of nanocavity in the CPhC template results in a sharp confinement of electric field, makes it effective for detecting diseased cells. Detection is based on the resonance peak shifts when the cancer cells are introduced into the nanocavity. The reflection spectrum and electric field distribution of the biosensor are investigated by performing numerical electromagnetic simulations based on finite element method (FEM). We calculated the sensitivity ( \(\:S\) ) and quality factor ( \(\:Q\) ) of the proposed biosensor for CPhC templates with both hexagonal and square lattice arrangements. A performance comparison with previously reported cancer sensors for Jurkat cancer cells reveals that our hexagonally arranged biosensor achieves an optimal balance between \(\:Q\) and \(\:S\) , with maximum values reaching \(\:0.97\times\:{10}^{5}\) and 318.000 nm/RIU, respectively. Moreover, our biosensor design utilizes the self-assembly of colloidal particles, offering a time-efficient and cost effective fabrication process. Hence, eliminates the need for expensive lithographic techniques commonly employed in many previous biosensor models.