Will Wetzel

The Solutions Innovation Research awards were presented to Professor Anders Bentien of Aarhus University, Professor Walter Gössler of the University of Graz, and Professor Gregory Offer of Imperial College London.

A new study published in Food Control introduces an approach for assessing antioxidant levels in edible oils using artificial intelligence and spectroscopy, offering significant potential for improving food quality control.

Researchers from the University of Oviedo used diffuse reflectance spectroscopy (DRS) and machine learning (ML) to analyze post-wildfire soil organic carbon fractions, identifying key spectral regions and algorithms for advancing remote sensing applications.

A recent study combines hyperspectral imaging (HSI) technology with chemometrics to deliver improved quality control of black garlic.

A recent study developed an accurate, non-destructive geo-traceability method using NIR spectroscopy and machine learning to authenticate the geographic origins of Gastrodia elata Bl.

Top articles published this week include two peer-reviewed articles that explore optical detection technology for seed vigor and classifying flowers, as well as a profile on Benjamin Manard, who was recognized as the winner of the 2025 Emerging Leader in Atomic Spectroscopy.

A recent study used surface-enhanced Raman spectroscopy (SERS) combined with chemometrics to assess polycyclic aromatic hydrocarbons (PAHs) in water.

A recent study examined how Raman spectroscopy, when combined with machine learning (ML), can detect and analyze fertilizer nutrients.

A comprehensive review in the Microchemical Journal highlights ATR FT-IR spectroscopy's transformative role in forensic bloodstain analysis, detailing its applications, challenges, and potential advancements for more precise and reliable crime-solving methodologies.

A recent study looked at how spectroscopy can be used to differentiate ink based on its color and brand.

Researchers have developed a novel three-step hybrid variable selection strategy, SiPLS-RF(VIM)-IMIV, to enhance the accuracy and efficiency of soil potassium measurement using near-infrared spectroscopy, offering significant advancements for precision agriculture and real-time soil monitoring.

A recent study from China explored a new, non-destructive method combining terahertz time-domain spectroscopy (THz-TDS) and machine learning to accurately classify wheat gluten strength.

A recent study used Fourier transform mid-infrared (FT-IR) spectroscopy and machine learning (ML) algorithms to understand the mineral content in camel’s milk.

A recent study explored how polymer-based tea bags contribute to the release of microplastics and nanoplastics (MNPL).

We reflect on several of the major conferences Spectroscopy covered over the past year.

This year-in-review showcases the standout technical articles, compelling interviews, and key news stories that defined the pages of Spectroscopy. In this year in review, the editors of Spectroscopy highlight some of the top published technical articles, interviews, and news content published.

Top articles published this week include a news article on attenuated total reflectance (ATR) spectroscopy, a news article about microplastics, and a reflection on the life and career of David McMurtry.

Miniaturized NIR spectrometers are transforming forensic science by enabling rapid, cost-effective, and portable field analysis.

A new study in Infrared Physics & Technology highlights the pivotal role of Fourier transform infrared (FTIR) spectroscopy in identifying and quantifying microplastics, emphasizing its advantages, limitations, and potential for advancement in mitigating environmental pollution.

A recent study published in Food Research International demonstrates how visible and near-infrared spectroscopy (Vis-NIRS) combined with machine-learning algorithms can accurately authenticate meat and fat based on livestock feeding systems, offering a sustainable and reliable solution for traceability in the meat industry.

A recent review article explores the evolving landscape of pigment analysis in cultural heritage (CH).

Top articles published this week include a Q&A interview involving using µFT-IR to study the atmospheric deposits of microplastics, a news article about Raman spectroscopy in disease diagnosis, and a look at the latest advancements in mid-infrared (MIR) imaging.

Researchers from Stanford University have combined surface-enhanced Raman spectroscopy (SERS) with machine learning (ML) to enable rapid, precise single-cell analysis, offering potentially transformative applications in diagnostics and personalized medicine.

Aleksandra "Sasha" Karapetrova and Win Cowger discuss their research using µ-FTIR spectroscopy and Open Specy software to investigate microplastic deposits in remote snow areas, shedding light on the long-range transport of microplastics.

A recent study examined the role that Raman spectroscopy is playing in disease diagnosis.

Researchers at Yanshan University have developed a groundbreaking method combining Raman spectroscopy and deep learning models to accurately identify and quantify components in blended vegetable oils.

Top articles published this week include a review of lithium-ion batteries, a news article about portable near-infrared (NIR) spectroscopy, and a look at using imaging techniques to preserve the wetlands.

A recent study reveals widespread and increasing microplastic contamination in the soils of Phoenix and the Sonoran Desert, highlighting significant environmental concerns and the need for further research into their sources and impacts.

A recent review article explored how vibrational spectroscopy techniques have been used in radiation biology.

A recent study examines a new micro-laser-induced breakdown spectroscopy (micro-LIBS) device that can provide elemental maps of lithium.