Efficient design and optimization of bio-photonic sensing cells (BICELLs) for label free biosensing

Lavin Hueros, Alvaro; Casquel del Campo, Rafael; Sanza Gutiérrez, Francisco Javier; Laguna Heras, Maria Fe y Holgado Bolaños, Miguel (2013). Efficient design and optimization of bio-photonic sensing cells (BICELLs) for label free biosensing. "Sensors and Actuators B: Chemical", v. 176 ; pp. 753-760. ISSN 0925-4005. https://doi.org/10.1016/j.snb.2012.09.058.

Descripción

Título: Efficient design and optimization of bio-photonic sensing cells (BICELLs) for label free biosensing
Autor/es:
  • Lavin Hueros, Alvaro
  • Casquel del Campo, Rafael
  • Sanza Gutiérrez, Francisco Javier
  • Laguna Heras, Maria Fe
  • Holgado Bolaños, Miguel
Tipo de Documento: Artículo
Título de Revista/Publicación: Sensors and Actuators B: Chemical
Fecha: Enero 2013
Volumen: 176
Materias:
Palabras Clave Informales: Label-free biosensors; Bio-photonic sensing cells; Optical simulation
Escuela: E.T.S.I. Industriales (UPM)
Departamento: Física Aplicada a la Ingeniería Industrial [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

In previous works we demonstrated the benefits of using micro–nano patterning materials to be used as bio-photonic sensing cells (BICELLs), referred as micro–nano photonic structures having immobilized bioreceptors on its surface with the capability of recognizing the molecular binding by optical transduction. Gestrinone/anti-gestrinone and BSA/anti-BSA pairs were proven under different optical configurations to experimentally validate the biosensing capability of these bio-sensitive photonic architectures. Moreover, Three-Dimensional Finite Difference Time Domain (FDTD) models were employed for simulating the optical response of these structures. For this article, we have developed an effective analytical simulation methodology capable of simulating complex biophotonic sensing architectures. This simulation method has been tested and compared with previous experimental results and FDTD models. Moreover, this effective simulation methodology can be used for efficiently design and optimize any structure as BICELL. In particular for this article, six different BICELL's types have been optimized. To carry out this optimization we have considered three figures of merit: optical sensitivity, Q-factor and signal amplitude. The final objective of this paper is not only validating a suitable and efficient optical simulation methodology but also demonstrating the capability of this method for analyzing the performance of a given number of BICELLs for label-free biosensing.

Más información

ID de Registro: 16734
Identificador DC: http://oa.upm.es/16734/
Identificador OAI: oai:oa.upm.es:16734
Identificador DOI: 10.1016/j.snb.2012.09.058
URL Oficial: http://www.sciencedirect.com/science/article/pii/S0925400512009719#
Depositado por: Memoria Investigacion
Depositado el: 12 Feb 2014 20:11
Ultima Modificación: 28 Jun 2016 07:01
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