Label-Free Biosensors Based onto Monolithically Integrated onto Silicon Optical Transducers

Angelopoulou, Μichailia; Kakabakos, Sotirios; Petrou, Panagiota

doi:10.3390/chemosensors6040052

Cited by 16 publications

(11 citation statements)

References 138 publications

(185 reference statements)

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“…Most planar sensors still rely on external light sources and detectors that are coupled to the waveguides with gratings, at the expense of a reduced optical bandwidth. There are successful research and commercial examples of silicon-based integrated sensors that use conventional waveguides and optical microresonators, such as microrings and photonic crystal cavities 18,19,[103][104][105] . The inclusion of subwavelength nanostructures and nanopatterns on low-loss waveguides is a promising route to both increase the sensor performance and also benefit from the light-guiding function of the waveguides.…”

Section: Future Perspectives and Challengesmentioning

confidence: 99%

Advances and applications of nanophotonic biosensors

et al. 2022

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Section: Future Perspectives and Challengesmentioning

confidence: 99%

Advances and applications of nanophotonic biosensors

et al. 2022

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“…In recent years, various developed laboratory prototypes further approach the envisaged goal of miniaturized and multi‐functional lab‐on‐a‐chip optical bioanalytical systems. [ 188 ] Integrating a biosensor chip with advanced microfluidic processing units and optoelectronic components render the technology closer to commercialization. Table 3 summarizes the state‐of‐the‐art laboratory prototypes with integrated microfluidic modules or optoelectronic components.…”

Section: Laboratory Prototypes Toward Poc Applicationsmentioning

confidence: 99%

Silicon‐Based Integrated Label‐Free Optofluidic Biosensors: Latest Advances and Roadmap

Wang

Sánchez

Yin

et al. 2020

Adv Materials Technologies

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By virtue of the well‐developed micro‐ and nanofabrication technologies and rapidly progressing surface functionalization strategies, silicon‐based devices have been widely recognized as a highly promising platform for the next‐generation lab‐on‐a‐chip bioanalytical systems with a great potential for point‐of‐care medical diagnostics. Herein, an overview of the latest advances in silicon‐based integrated optofluidic label‐free biosensing technologies relying on the efficient interactions between the evanescent light field at the functionalized surface and specifically bound analytes is presented. State‐of‐the‐art technologies demonstrating label‐free evanescent wave‐based biomarker detection mainly encompass three device configurations, including on‐chip waveguide‐based interferometers, microring resonators, and photonic‐crystal‐based cavities. Moreover, up‐to‐date strategies for elevating the sensitivities and also simplifying the sensing processes are discussed. Emerging laboratory prototypes with advanced integration and packaging schemes incorporating automatic microfluidic components or on‐chip optoelectronic devices lead to one significant step forward in real applications of decentralized diagnostics. Besides, particular attention is paid to currently commercialized label‐free optical bioanalytical models on the market. Finally, the prospects are elaborated with several research routes toward chip‐scale, low‐cost, highly sensitive, multi‐functional, and user‐friendly bioanalytical systems benefiting to global healthcare.

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“…However, RI sensors are not selective as they only detect the change in the medium (clad) refractive index which can occur due to different substances. A widely used technique to solve this problem in bio-sensing is surface functionalization [9][10][11]. In surface functionalization, the surface of the sensing waveguide is coated with speci c molecules called binder or capture molecules and immobilized through a certain process.…”

Section: Introductionmentioning

confidence: 99%

Study of Silicon Nitride Waveguide Platform for On-Chip Virus Detection: Prospects for COVID-19

Shamy

Swillam

2021

Preprint

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This work presents a rigorous sensitivity analysis of silicon nitride on silicon dioxide strip waveguide for virus detection, focusing on COVID-19. In general, by functionalizing the waveguide surface with specific antibodies layer, we make the optical sensor sensitive only to a particular virus. Unlike conventional virus detection methods such as polymerase chain reaction (PCR), integrated refractive index (RI) optical sensors offer cheap and mass-scale fabrication of compact devices for fast and straightforward detection with high sensitivity and selectivity. Our analysis includes a wide range of wavelengths from visible to mid-infrared. We determined the strip waveguide's single-mode dimensions and the optimum dimensions that maximize the sensitivity to the virus layer attached to its surface at each wavelength. We also compared the strip waveguide to the widely used slot waveguide. Our study shows that silicon nitride strip waveguide working at lower wavelengths is the optimum choice for virus detection as it maximizes both the waveguide sensitivity (Swg) and the figure of merit (FOM) of the sensor. Furthermore, the optimized waveguide can work for a range of viruses. Balanced Mach-Zehnder interferometer (MZI) sensors were designed at different wavelengths showing high FOM at λ = 450nm ranging from 500 RIU-1 up to 1231 RIU-1 with LMZI=500 µm. Different MZI configurations were also studied and compared. Finally, edge coupling from the fiber to the sensor was designed, showing insertion loss (IL) at λ = 450nm of 4.1 dB for the design with FOM = 500 RIU-1. The obtained coupling efficiencies are higher than recently proposed fiber couplers.

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Label-Free Biosensors Based onto Monolithically Integrated onto Silicon Optical Transducers

Cited by 16 publications

References 138 publications

Advances and applications of nanophotonic biosensors

Advances and applications of nanophotonic biosensors

Silicon‐Based Integrated Label‐Free Optofluidic Biosensors: Latest Advances and Roadmap

Study of Silicon Nitride Waveguide Platform for On-Chip Virus Detection: Prospects for COVID-19

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