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Advanced Photonic Biosensors 2023

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biosensors".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 5188

Special Issue Editor


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Guest Editor
Nanophotonics Technology Center, Universitat Politècnica de València, Camí de Vera s/n, 46022 Valencia, Spain
Interests: photonics; biosensors; nanotechnology; nanofabrication
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The next generation of biosensor systems must ensure the convergence of micro-/nano-, bio-, and ICT technologies to achieve smaller, faster, and cheaper devices that have superior performance, while still delivering highly reproducible results, exhibiting increased sensitivity, and being extremely reliable. In this scenario, photonic biosensors present several advantages compared to other sensing technologies, such as their compactness and high integration level, high sensitivities, high interaction between the optical field and target analytes, shorter times to produce results or the requirement of very low volumes to perform sensing. In this sense, the photonic sensing research field has quickly evolved in recent years, transitioning from traditional bulk technologies to integrated photonics with advanced performance, enhanced functionalities, increased reliability, and reduced costs.

The aim of this Special Issue is to discuss various types of photonic biosensors, based on different configurations and materials. Contributions can cover different aspects in terms of design, manufacturing, experimental testing and the application of new photonic devices, structures, functional materials, measurement methods, and signal processing, as well as their integration with biotechnology concepts to perform high-quality sensing (DNA, proteins, cell detection, etc.).

Submissions may cover many areas, ranging from new concepts that are still under examination in laboratories to sensing systems that will soon be made available on the market, even in highly differentiated sectors, such as biosensing, pharmaceutical and food sensing, environmental sensing, gas sensing, the automotive industry, security, defense, and space.

Dr. Amadeu Griol
Guest Editor

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Published Papers (2 papers)

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Research

22 pages, 3484 KiB  
Article
Development of Optical Label-Free Biosensor Method in Detection of Listeria monocytogenes from Food
by Ana Fernández Blanco, Manuel Hernández Pérez, Yolanda Moreno Trigos and Jorge García-Hernández
Sensors 2023, 23(12), 5570; https://doi.org/10.3390/s23125570 - 14 Jun 2023
Cited by 7 | Viewed by 2460
Abstract
The present work describes an alternative method for detecting and identifying Listeria monocytogenes in food samples by developing a nanophotonic biosensor containing bioreceptors and optical transducers. The development of photonic sensors for the detection of pathogens in the food industry involves the implementation [...] Read more.
The present work describes an alternative method for detecting and identifying Listeria monocytogenes in food samples by developing a nanophotonic biosensor containing bioreceptors and optical transducers. The development of photonic sensors for the detection of pathogens in the food industry involves the implementation of procedures for selecting probes against the antigens of interest and the functionalization of the sensor surfaces on which the said bioreceptors are located. As a previous step to functionalizing the biosensor, an immobilization control of these antibodies on silicon nitride surfaces was carried out to check the effectiveness of in plane immobilization. On the one hand, it was observed that a Listeria monocytogenes-specific polyclonal antibody has a greater binding capacity to the antigen at a wide range of concentrations. A Listeria monocytogenes monoclonal antibody is more specific and has a greater binding capacity only at low concentrations. An assay for evaluating selected antibodies against particular antigens of Listeria monocytogenes bacteria was designed to determine the binding specificity of each probe using the indirect ELISA detection technique. In addition, a validation method was established against the reference method for many replicates belonging to different batches of meat-detectable samples, with a medium and pre-enrichment time that allowed optimal recovery of the target microorganism. Moreover, no cross-reactivity with other nontarget bacteria was observed. Thus, this system is a simple, highly sensitive, and accurate platform for L. monocytogenes detection. Full article
(This article belongs to the Special Issue Advanced Photonic Biosensors 2023)
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18 pages, 5076 KiB  
Article
Numerical Analysis of Highly Sensitive Twin-Core, Gold-Coated, D-Shaped Photonic Crystal Fiber Based on Surface Plasmon Resonance Sensor
by Md. Ranju Sardar and Mohammad Faisal
Sensors 2023, 23(11), 5029; https://doi.org/10.3390/s23115029 - 24 May 2023
Cited by 9 | Viewed by 2218
Abstract
This research article proposes and numerically investigates a photonic crystal fiber (PCF) based on a surface plasmon resonance (SPR) sensor for the detecting refractive index (RI) of unknown analytes. The plasmonic material (gold) layer is placed outside of the PCF by removing two [...] Read more.
This research article proposes and numerically investigates a photonic crystal fiber (PCF) based on a surface plasmon resonance (SPR) sensor for the detecting refractive index (RI) of unknown analytes. The plasmonic material (gold) layer is placed outside of the PCF by removing two air holes from the main structure, and a D-shaped PCF-SPR sensor is formed. The purpose of using a plasmonic material (gold) layer in a PCF structure is to introduce an SPR phenomenon. The structure of the PCF is likely enclosed by the analyte to be detected, and an external sensing system is used to measure changes in the SPR signal. Moreover, a perfectly matched layer (PML) is also placed outside of the PCF to absorb unwanted light signals towards the surface. The numerical investigation of all guiding properties of the PCF-SPR sensor is completed using a fully vectorial-based finite element method (FEM) to achieve the finest sensing performance. The design of the PCF-SPR sensor is completed using COMSOL Multiphysics software, version 1.4.50. According to the simulation results, the proposed PCF-SPR sensor has a maximum wavelength sensitivity of 9000 nm/RIU, an amplitude sensitivity of 3746 RIU−1, a sensor resolution of 1 × 10−5 RIU, and a figure of merit (FOM) of 900 RIU−1 in the x-polarized direction light signal. The miniaturized structure and high sensitivity of the proposed PCF-SPR sensor make it a promising candidate for detecting RI of analytes ranging from 1.28 to 1.42. Full article
(This article belongs to the Special Issue Advanced Photonic Biosensors 2023)
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