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

Development of a Near-Infrared Imaging System for Identifying Microplastics in Water

2022 2 citations

AI summary Read the abstract

Researchers developed a near-infrared imaging system capable of automatically identifying and characterizing microplastics suspended in water, successfully obtaining material identification images without the manual sorting typically required by conventional methods.

Study Type Environmental

Microplastics in the ocean are considered to cause a severe health and environmental problems, and they are often evaluated by manual methods. We have developed a near-infrared imaging system to evaluate their various properties automatically. We have succeeded in obtaining images and identifying materials of microplastics set in water.

More Papers Like This

Article Tier 2

Material identification and imaging of microplastics when dispersed in water using near-infrared light toward combination with a flow cell

AI summary Read the abstract

Researchers developed a near-infrared (NIR) spectroscopy method for identifying and imaging microplastics in water without requiring drying, testing it on polyethylene, polypropylene, polystyrene, and polymethyl methacrylate particles. The method was designed to integrate with a flow cell for continuous measurement, enabling real-time microplastic identification in water samples.

Article Tier 2

Rapid and direct detection of small microplastics in aquatic samples by a new near infrared hyperspectral imaging (NIR-HSI) method

AI summary Read the abstract

Researchers developed a rapid near-infrared hyperspectral imaging method capable of detecting and chemically identifying small microplastics (down to a few hundred micrometers) in aquatic samples faster and with less labor than traditional spectroscopy approaches.

Article Tier 2

Outlook on optical identification of micro- and nanoplastics in aquatic environments

AI summary Read the abstract

Researchers studied the optical properties of micro- and nanoplastics and evaluated near-infrared spectroscopy as a detection method for plastic particles in water, finding that optical techniques show promise for rapid, non-destructive identification. Improved optical detection methods could enable faster and more cost-effective monitoring of plastic pollution in aquatic environments.

Article Tier 2

Development of robust models for rapid classification of microplastic polymer types based on near infrared hyperspectral images

AI summary Read the abstract

Researchers used near-infrared hyperspectral imaging combined with machine learning to classify nine types of microplastic particles, finding reliable results even for small particles on wet filters. This method could enable faster, automated identification of diverse microplastic types in environmental water samples.

Article Tier 2

Application of High-Resolution Near-Infrared Imaging Spectroscopy to Detect Microplastic Particles in Different Environmental Compartments

AI summary Read the abstract

Researchers enhanced a lab-based near-infrared imaging spectroscopy setup with a microscopic lens to detect microplastic particles as small as 100 micrometers across multiple environmental sample types, significantly speeding up analysis compared to traditional methods. Faster, semi-automated detection tools are essential for scaling up environmental monitoring of microplastics, which currently requires labor-intensive laboratory work.

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