Top articles published this week include a preview of our upcoming content series for National Space Day, a news story about air quality monitoring, and an announcement from Metrohm about their new Midwest office.
This week, Spectroscopy published articles highlighting recent studies in several application areas in analytical spectroscopy including environmental analysis and space exploration. Key techniques highlighted in these articles include infrared (IR) spectroscopy, Raman spectroscopy, and laser-induced breakdown spectroscopy (LIBS). Happy reading!
Celebrate National Space Day with Spectroscopy
Spectroscopy is partnering with the Society for Applied Spectroscopy (SAS) to celebrate National Space Day on May 2 with a special online content series. This upcoming content series will highlight spectroscopy's crucial role in space exploration, including its use in instruments aboard the Hubble and James Webb telescopes, as well as the Mars rovers Perseverance and Curiosity. Spectroscopy enables remote analysis of celestial bodies, helping scientists uncover the chemical composition and atmospheric conditions of planets and stars (1). Techniques like Raman, IR, and mass spectrometry (MS) have advanced the search for life on Mars by identifying key elements and water-formed minerals, driving future discoveries in planetary science (1).
LIBS Illuminates the Hidden Health Risks of Indoor Welding and Soldering
As indoor soldering and welding become more common, scientists in China have developed a rapid air quality monitoring system using LIBS and single-particle aerosol mass spectrometry (SPAMS). These tools detect harmful airborne pollutants like lead, tin, carbon emissions, and fine particulate matter (PM2.5, PM10) in real time (2). The studies show that rising soldering temperatures increase toxic emissions, with PM2.5 posing serious health risks because of prolonged exposure (2). Combining LIBS and SPAMS with machine learning (ML) enables detailed pollutant profiling and real-time alerts, offering a faster, non-destructive alternative to traditional air monitoring for safer indoor environments.
Metrohm Announces Grand Opening of Regional Office in Chicago
Metrohm USA has opened a new regional office and laboratory in Lombard, Illinois, to enhance support and service for its Midwest customers. This strategic expansion aims to improve accessibility for industries such as pharmaceuticals, food and beverage, and environmental testing. The facility features spaces for training, product demos, and industry events, reinforcing Metrohm’s commitment to personalized, collaborative customer support (3). Located near Chicago’s major transportation hubs, the office offers greater convenience and responsiveness. The ribbon-cutting ceremony is scheduled for April 30 (3). This move underscores Metrohm’s mission to provide innovative, high-quality chemical analysis solutions alongside a human-centered customer experience.
Smarter Sensors, Cleaner Earth Using AI and IoT for Pollution Monitoring
A recent review article published in Frontiers in Environmental Science highlighted how smart technologies like artificial intelligence (AI), Internet of Things (IoT), machine learning (ML), and spectroscopy are improving pollution monitoring. Led by an international team, the study explores how low-cost sensors and AI algorithms enable real-time detection and prediction of air, soil, and water pollutants (4). Spectroscopic techniques, such as vis-NIR and surface-enhanced Raman spectroscopy (SERS), play a key role in identifying contaminants, while integrated sensor networks enhance environmental data accuracy (4). Despite challenges like data sharing and model transparency, this review underscores the growing potential of digital tools in advancing sustainable pollution control.
High-Speed Laser MS for Precise, Prep-Free Environmental Particle Tracking
Researchers at Oak Ridge National Laboratory recently demonstrated the effectiveness of laser ablation-inductively coupled plasma-time-of-flight mass spectrometry (LA-ICP-TOF-MS) for rapid, direct analysis of airborne pollutants. Unlike traditional methods, this technique requires no chemical digestion, offering accurate, high-throughput elemental mapping in under 30 minutes per sample (5). The study, involving intentional ruthenium particle release, showed that LA-ICP-TOF-MS detects and differentiates target and background particles with high precision (5). Compared to quadrupole systems, TOF-MS offers better isotopic accuracy and broader element detection (5). Validated by SEM-EDS, the method holds promise for real-time environmental and public health monitoring of toxic airborne contaminants.
AI and Dual-Sensor Spectroscopy Supercharge Antibiotic Fermentation
June 30th 2025Researchers from Chinese universities have developed an AI-powered platform that combines near-infrared (NIR) and Raman spectroscopy for real-time monitoring and control of antibiotic production, boosting efficiency by over 30%.
Toward a Generalizable Model of Diffuse Reflectance in Particulate Systems
June 30th 2025This tutorial examines the modeling of diffuse reflectance (DR) in complex particulate samples, such as powders and granular solids. Traditional theoretical frameworks like empirical absorbance, Kubelka-Munk, radiative transfer theory (RTT), and the Hapke model are presented in standard and matrix notation where applicable. Their advantages and limitations are highlighted, particularly for heterogeneous particle size distributions and real-world variations in the optical properties of particulate samples. Hybrid and emerging computational strategies, including Monte Carlo methods, full-wave numerical solvers, and machine learning (ML) models, are evaluated for their potential to produce more generalizable prediction models.
Combining AI and NIR Spectroscopy to Predict Resistant Starch (RS) Content in Rice
June 24th 2025A new study published in the journal Food Chemistry by lead authors Qian Zhao and Jun Huang from Zhejiang University of Science and Technology unveil a new data-driven framework for predicting resistant starch content in rice
New Spectroscopy Methods Target Counterfeit Oral Medication Syrups
June 23rd 2025Researchers at Georgia College and Purdue University have developed a fast, low-cost method using Raman and UV–visible spectroscopy combined with chemometric modeling to accurately screen and quantify active ingredients in over-the-counter oral syrups, helping to fight counterfeit medications.
Short Tutorial: Complex-Valued Chemometrics for Composition Analysis
June 16th 2025In this tutorial, Thomas G. Mayerhöfer and Jürgen Popp introduce complex-valued chemometrics as a more physically grounded alternative to traditional intensity-based spectroscopy measurement methods. By incorporating both the real and imaginary parts of the complex refractive index of a sample, this approach preserves phase information and improves linearity with sample analyte concentration. The result is more robust and interpretable multivariate models, especially in systems affected by nonlinear effects or strong solvent and analyte interactions.