0
Article Tier 2 Environmental Sources Human Health Effects Marine & Wildlife Sign in to save

Design Optimisation of Optical Planar Waveguide Sensor for Microplastics Detection in Water

Research Square (Research Square) 2022 1 citation

AI summary Read the abstract

Researchers simulated an optical planar waveguide sensor design for microplastic detection in water using the Wave Optics Module in COMSOL Multiphysics, optimising cladding thickness (0-5 µm) and evaluating sensor performance across the refractive index range (1.480-1.500 RIU) corresponding to microplastic materials.

Abstract Nowadays, microplastics pollution has become a global concern as it endangers the ecology and marine animals and causes health threats to human beings. This paper demonstrated a simulation of an optical planar waveguide sensor design for microplastics detection in water via Wave Optics Module-COMSOL Multiphysics®. The design optimisation of the sensor was conducted by changing the cladding thickness ranging from 0 to 5 µm. The change in analyte refractive index ranging from 1.480 to 1.500 refractive index unit (RIU) in reference to the microplastics’ refractive index has been performed to evaluate the simulated sensing performance. The simulation results showed that reducing the cladding thickness can vastly improve the sensor sensitivity. The sensor showed the highest sensitivity in the absence of cladding layer i.e.; the cladding thickness of 0 µm with 10 7 difference in the order of magnitude of sensitivity compared to that of 5-µm thickness. Thus, the optimised sensor design with 0 µm cladding thickness assures an excellent sensor for microplastics detection in water.

More Papers Like This

Article Tier 2

Simulation of Optical Planar Waveguide Sensor for Microplastics Detection in Water

AI summary Read the abstract

Researchers simulated an optical planar waveguide sensor for detecting microplastics in water using COMSOL Multiphysics wave optics modeling. The simulations showed that evanescent wave variations at different analyte refractive indices within the microplastic range (1.48-1.50 RIU) confirmed the sensor's theoretical detection potential.

Article Tier 2

Design optimisation of rare earth metal doped polymer optical planar waveguide sensor for microplastics detection in water

AI summary Read the abstract

Researchers simulated a rare-earth-metal-doped polymer optical waveguide sensor using COMSOL Multiphysics, finding that reducing cladding thickness to zero maximized sensitivity by a factor of 10 million compared to a 5 μm cladding design, enabling detection of microplastics in water through refractive index shifts. Advances in miniaturized, highly sensitive optical sensors are critical for real-time, field-deployable monitoring of microplastic contamination in drinking water and aquatic ecosystems.

Article Tier 2

Sensitivity Performance of Optical Waveguide Sensors with Different Shapes of Cladding Layer for Microplastics Detection

AI summary Read the abstract

Researchers simulated three optical waveguide sensor designs for detecting microplastics in water and found that C-shaped fiber geometry achieved the highest sensitivity, about 2.8 times greater than D-shaped or rectangular designs. Greater exposure of the sensor core to the surrounding water increased the light-analyte interaction responsible for detection.

Article Tier 2

A metal-insulator-metal waveguide-based plasmonic refractive index sensor for the detection of nanoplastics in water

AI summary Read the abstract

Researchers designed a light-based sensor using a metal-insulator-metal waveguide and square-ring resonator that can detect nanoplastics in water at extremely low concentrations by measuring tiny changes in how light bends through the sample. The optimized sensor achieved a sensitivity of 2700 nm/RIU, making it a promising tool for detecting minute levels of plastic contamination in water.

Article Tier 2

On optical sensing of surface roughness of flat and curved microplastics in water

AI summary Read the abstract

Researchers developed and tested an optical sensor prototype capable of detecting microplastic particles of different shapes and surface textures in water by measuring light reflection patterns. The sensor offers a potential path to faster, in-situ microplastic detection without requiring chemical analysis.

Research digests by email

When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.

Email me about

Share this paper