We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Detection and classification of microplastics in marine environment using a low-cost, compact, and fast sensor
Summary
Engineers developed a low-cost, compact sensor using three infrared photodiodes that can identify the most common floating marine microplastics with about 90% accuracy. The sensor is designed to be mounted on ocean floats for large-scale marine monitoring.
In this paper, we present a preliminary study for the development of a low-cost, compact microplastics sensor which could be mounted, in principle, on a float of drifters, for the monitoring of large marine surfaces. The preliminary results of the study indicate that a simple sensor equipped with three infrared-sensitive photodiodes can reach classification accuracies around 90% for the most diffused floating microplastics in marine environment (polyethylene and polypropylene).
Sign in to start a discussion.
More Papers Like This
Feasibility Study for the Development of a Low-Cost, Compact, and Fast Sensor for the Detection and Classification of Microplastics in the Marine Environment
A feasibility study demonstrated that a compact, low-cost sensor using just three infrared photodiodes can classify the most common floating marine microplastics — polyethylene and polypropylene — with about 90% accuracy, making it potentially deployable on ocean drifters for large-scale monitoring. Affordable, scalable detection tools like this are critical for filling major data gaps in global microplastic distribution mapping.
Compact low-cost sensor for microplastics detection and classification in marine and aquatic environments
Researchers developed a compact, low-cost sensor for detecting and classifying microplastics in marine and aquatic environments, designed to reduce the economic burden of MP monitoring along coastlines and enable more frequent and scalable environmental surveillance.
Compact low-cost sensor for microplastics detection and classification in marine and aquatic environments
Researchers developed a compact, low-cost sensor for detecting and classifying microplastics in marine and aquatic environments, designed to reduce the economic burden of MP monitoring along coastlines and enable more frequent and scalable environmental surveillance.
Study on marine microplastics monitoring based on infrared spectroscopy technology
Researchers developed an infrared spectroscopy-based monitoring system for marine microplastics, applying support vector machine algorithms to hyperspectral images to identify plastic types and abundances in seawater. The study found microplastic abundances ranging from roughly 5 to 39 particles per litre across sampling sites, with fibers (53-68%) and debris (23-34%) as dominant shapes, demonstrating the method's feasibility for rapid environmental monitoring.
Polymer Type Identification of Marine Plastic Litter Using a Miniature Near-Infrared Spectrometer (MicroNIR)
Researchers tested a miniature near-infrared spectrometer (MicroNIR) for rapidly identifying polymer types in marine plastic litter collected from beaches, finding it could accurately distinguish common plastics like polyethylene and polypropylene. Low-cost, portable identification tools are important for large-scale monitoring of marine plastic pollution.