Fast, Automated Microplastics Analysis Using Laser Direct Chemical Imaging: Characterizing and Quantifying Microplastics in Water Samples from Marine Environments.
It is estimated that more than 75% of the 8.3 billion metric tons of plastic produced over the last 65 years have turned into waste. Up to 13 million metric tons of this waste ends up in the ocean every year and recent calculations estimate that more than 5.25 trillion plastic particles float in the world’s oceans. Scientists have demonstrated the alarming environmental ubiquity and persistence of particulate plastic in aquatic ecosystems. Models predict that approximately 14% of the plastic debris in the ocean surface layer can be classified as so-called microplastics (often referred to as particles between 1 µm and 5 mm in size). These ingestible and potentially harmful particles have been formed by UV-induced, mechanical, or biological degradation of larger debris items. To verify the estimates and to meet upcoming regulatory measures (e.g., California Senate Bill 1422) and directives (MSFD, 2008/56/EC), accurate, time-efficient, and robust analytical workflows and techniques are required.
Top content published this week include a digital e-book to celebrate National Forensic Science Week, a recap of the top 10 articles published in August 2026, and more.
A new review article in Microchimica Acta finds that smartphone-based optical and spectroscopic sensors show strong potential to decentralize food safety testing across contaminants like pesticides, heavy metals, and pathogens.
In the third episode of “Spectroscopy Around the Globe,” we're heading underground and into a hillside in southwestern France to talk about one of the greatest art discoveries of the 20th century: the Lascaux Caves.
An upcoming talk at the SciX Conference will explore the concept of electroosmosis, and how machine learning (ML) can be used to understand electroosmotic flow behavior.
Raman spectroscopy just got a brain, a stopwatch, and a nose. Together, these upgrades are turning a century-old light-scattering trick into a frontline tool for catching cancer earlier, chiral drugs cleaner, and toxic chemicals faster than ever before.
A new deep-learning framework that was recently developed improves the accuracy of near-infrared spectroscopy for non-destructively measuring internal quality traits.
At the upcoming 2026 SciX Conference, Ji-Xin Cheng at Boston University will be recognized with the Charles Mann Award for Applied Raman Spectroscopy. Leading up to the conference, Cheng sat down with Spectroscopy to talk about the advancements being made in confocal Raman microscopy.