Environmental Analysis

Concentrations comparable to polluted European rivers detected in sediments of the Urdaibai Biosphere Reserve.

A team at Hebei University has developed a fluorescent probe that visualizes heavy metal stress in plant cells by detecting changes in intracellular viscosity, offering researchers a new real-time tool for assessing crop stress resistance.

How is spectroscopy being used to detect methane and contribute to sustainability missions?

Webinar Date/Time: Tue, Jun 9, 2026 11:00 AM EDT

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A 2026 study published in the journal Remote Sensing tested Germany’s EnMAP hyperspectral satellite to see if it could identify and map acid mine drainage (AMD) and associated mineral residues from a legacy sulfide mine in Sardinia, Italy.

In this tutorial article, we review the latest in microplastic analysis, highlighting the techniques that have been frequently used in this space and where they have been most effective.

A study in the Journal of Environmental Management shows that wastewater treatment plants in coastal Catalonia remove most microplastics but still release tens of billions of particles annually, with emissions peaking during warmer, tourism-heavy months due to environmental and population-driven pressures.

In this interview clip, David Clasas of the University of Graz discusses the trapping mechanism of the OF2i and how it improves downstream Raman and ICP-TOFMS measurements and also highlights the multimodal approach his team used to improve microplastic analysis.

Researchers at the University of Minnesota have developed a dual AI framework that uses synthetic vegetation index data and an advanced Transformer-based segmentation model to significantly improve early detection of winter damage on golf course turf.

Researchers at Jiangnan University have developed a rapid, one-pot magnetic enrichment and electrochemical sensing platform that enables highly sensitive, streamlined detection of polystyrene microplastics.

A recent study demonstrated that hyperspectral imaging offers a highly accurate, dramatically faster alternative to traditional FT-IR methods for identifying microplastics in the Po River.

Researchers at Washington State University Tri-Cities demonstrate that combining Raman and infrared spectroscopy with convolutional neural networks enables highly accurate, low-cost, and field-ready automated plastic identification.

This feature reflects on the interviews Spectroscopy magazine conducted in 2025.

A study published in the Journal of Raman Spectroscopy reports the detection of polyethylene, PET, and nylon microplastics in Greece’s remote Dragon Lake on Mt. Tymfi.

A recent study from researchers in Indonesia and Taiwan demonstrates that tourism intensity on Gili Trawangan Island is strongly linked to higher microplastic contamination in coastal waters, sediments, and fish, highlighting the need for targeted waste management and sustainable tourism policies to protect vulnerable island ecosystems.

A recent study demonstrates that full-range spectroscopy offers a highly accurate, scalable, and efficient solution for identifying Amazonian tree species across diverse ecosystems.

A recent study demonstrates that near-infrared (NIR) spectroscopy is a fast, cost-effective, and reliable tool for assessing soil and tree ecological traits, offering major potential for large-scale forest conservation and monitoring.

A recent study demonstrated that deep learning combined with ICP spectroscopy can accurately and affordably predict multiple soil properties.

A new study published in Ecological Informatics finds that hyperspectral remote sensing combined with machine learning can accurately predict grassland forage quality across global biomes.

A recent study analyzed sediment cores from estuaries in the Tampa Bay area, revealing the damage that "legacy" nutrients are having on the ecological record there.

Webinar Date/Time: Wed, Dec 10, 2025 11:00 AM EST

A recently developed sensor demonstrated that it could improve tannic acid detection in both food and environmental systems.