Environmental Analysis

A new study used advanced techniques, including µ-Raman spectroscopy and machine learning, to map and predict microplastic pollution on São Paulo’s urban beaches.

A new study has confirmed the presence of multiple microplastic types in human amniotic fluid using a dual-method approach, raising concerns about potential long-term impacts on fetal development.

Researchers from Nanjing University of Information Science & Technology have introduced a breakthrough AI-enhanced multimodal strategy for real-time detection of polyamide microplastics contaminated with heavy metals.

A new study published in Geoderma demonstrates that combining soil spectroscopy with radar-derived vegetation indices and environmental data significantly improves the accuracy of soil organic carbon predictions in Brazil’s semi-arid regions.

A new study published in the Journal of South American Earth Sciences reveals how microbial activity, low pH conditions, and sediment chemistry in Brazil’s São Carlos Shale uniquely preserved diverse Upper Cretaceous fossils, offering fresh insights into the paleoenvironment of the Bauru Basin.

A recent study presented a dual-method approach combining confocal micro-Raman spectroscopy and Nile Red-assisted fluorescence microscopy to enhance the accuracy and throughput of microplastics detection in environmental samples.

Researchers from Cranfield University and partners from industry demonstrated the feasibility of using advanced, non-destructive imaging techniques to analyze and standardize organo-mineral fertilizers.

Researchers from Jinan University and Guangzhou Customs Technology Center have developed a cost-effective UV-vis spectroscopy and machine learning method to accurately identify recycled PET content as low as 10%, advancing sustainable packaging and circular economy efforts.

In the final part of this video interview with Pooja Sheevam, she discusses the importance of her study in understanding the mineralogical and geochemical processes in Hawaii.

Shanghai researchers develop high-accuracy machine learning system to identify colorless microplastics across varied environments.

In this interview segment, Pooja Sheevam elaborates on what LWIR and SWIR are and what advantages they both offer when analyzing Hawaiian geology.

A new study published in Marine Pollution Bulletin reveals significant microplastic contamination at 5000-meter depths in the Central Indian Ocean Basin, highlighting the widespread reach of plastic pollution and the urgent need for regulatory action.

Researchers from Tohoku University, Shibaura Institute of Technology, and Shizuoka University unveil advanced sorting system using NIR, THz, and machine learning for improved recycling outcomes.

A study published in Chemosphere by researchers at the Technical University of Denmark demonstrates that fluorescence spectroscopy can serve as a rapid, on-site screening tool for detecting pharmaceutical contaminants in groundwater.

Researchers from several Chinese universities have developed a low-cost, red mud-based catalyst doped with manganese oxides that efficiently oxidizes toluene at lower temperatures, offering a sustainable solution for air pollution control and industrial waste reuse.

Researchers at the Sinopec Research Institute have developed a novel method using virtually generated mid-infrared spectra to accurately quantify plastic blends, offering a faster, scalable solution for recycling and environmental monitoring.

Webinar Date/Time: Tue, Jun 10, 2025 11:00 AM EDT

A new study published in Chemosphere by researchers at Bharathidasan University reveals alarming seasonal microplastic (MP) contamination in fish and shellfish from India's Pichavaram Mangroves.

A recent review article highlights the promise of near-infrared (NIR) spectroscopy for on-farm analysis of liquid organic manure.

A new study published in Geoderma Regional by J. A. Arias-Rios and colleagues at IFAB demonstrates that near-infrared (NIR) spectroscopy is a rapid, cost-effective tool for assessing soil and tree traits critical to forest ecosystem monitoring and management.

Webinar Date/Time: Tuesday, May 27, 2025 at 11:00 AM EST

Here is a collection of recent studies that used spectroscopic techniques in environmental analysis.

In this brief segment from my full-length conversation with Monica Arienzo of the Desert Research Institute, she discusses the important key findings of her study.

In this brief segment from my full-length conversation with Monica Arienzo of the Desert Research Institute, she discusses the important key findings of her study.

In this brief segment from my full-length conversation with Monica Arienzo, who was the lead author of this study, she discusses whether there was a correlation between the different types of litter and the polymer type.