Industrial & Process Analysis
Featured Articles
Spectroscopy for Real-Time Fermentation Process Monitoring
Monitoring fermentation processes can help manufacturers maintain consistent conditions and improve process control. This research explores a multivariate process monitoring strategy using spectroscopy in a small-scale fermenter, demonstrating how real-time spectral data and chemometric models can support monitoring and control in a process analytical technology (PAT) environment.
Determining Gasoline Octane Numbers with Flame Spectroscopy
Octane number is a key measure of gasoline performance, but traditional testing methods can require significant time and specialized analysis. This research investigates a PLS regression model using flame emission spectroscopy to determine gasoline octane numbers, demonstrating how spectral data and chemometrics can support rapid fuel characterization.
Moisture Analysis in Crude Oil with NIR Spectroscopy
Moisture content is an important quality parameter in crude oil, where even small amounts of water can affect processing and transportation. This application explores how near-infrared spectroscopy can provide rapid, non-destructive moisture analysis, offering a practical approach for monitoring crude oil quality and supporting process control.
Customer Research & Publications
Spatially resolved methane decomposition in a short glow discharge Insights into suprathermal hydrogen and radical chemistry
Shurik Yatom | Plasma Sources Science and Technology | August 1, 2026 | 10.1088/1361-6595/ae94a9 Abstract This work presents the spatially resolved mapping of methane decomposition chemistry in a...
Study of the photopolymerization process of luminescent labeled photocurable compositions in liquid and gas media
Malgorzata Noworyta, Maciej Pilch, Dawid Kiesiewicz, Renata Klaput, and Joanna Ortyl | Chemical and Process Engineering New Frontiers | July 21, 2026 | 10.24425/cpe.2026.158129 Abstract Although...
Conversion of RGB Camera into Hyperspectral Imager Using a Liquid Crystal Spectral Modulator and Artificial Intelligence
Doron Pasha, Isaac Y. August, and Ibrahim S. Abdulhalim | ACS Photonics | July 7, 2026 | 10.1021/acsphotonics.6c00774 Abstract Hyperspectral imaging extracts spectral information for quantitative...
Red Dyed Diesel: How Portable Spectroscopy Measures Fuel Dye Concentration
Red dyed diesel—also known as red diesel, off-road diesel, dyed diesel, or farm diesel—has suddenly become a national topic. On October 5, 2026, President Donald Trump signed an executive order...
Single Fiber vs. Linear Fiber Bundle for Spectroscopy | Light Throughput Comparison
Fiber optic cables are a critical component of spectroscopy systems - directly influencing signal strength, measurement repeatability, and overall system performance. Regardless of the measurement...
Love at First Signal: MQTT-Enabled Spectroscopy for Inline Process Engineering
This Valentine’s Day, we’re celebrating a different kind of connection — the seamless integration of spectroscopy with industrial automation. In modern process engineering, the strongest...
Key Application Areas
Food Safety & Quality
Advanced & quantum materials
Thin Films & Optical Coatings
Pharmaceuticals & Nutraceuticals
Biomedical & Life Sciences
Environmental & Microplastics
Astronomy, Space & Remote Sensing
Lighting, Displays & Radiometry
Recommended Spectrometers for Industrial & Process Analysis
Learn More
Explore UV-VIS, NIR, Raman, color measurement, and OEM spectroscopy through practical guides, application notes, videos, technical resources, and real-world research. Learn how spectroscopy can support raw material verification, composition analysis, chemical identification, process monitoring, color measurement, quality control, and automated industrial analysis. These Learning Centers provide practical resources to help engineers, technicians, and manufacturers integrate spectroscopy into laboratory, at-line, in-line, and OEM measurement systems.
- Spectrometers Learning Center — Explore UV-VIS spectroscopy for industrial process analysis, concentration measurements, absorbance, transmission, reflectance, and quality control.
- NIR Learning Center — Learn about NIR spectroscopy for raw material verification, composition analysis, material classification, and rapid industrial process monitoring.
- Raman Learning Center — Explore Raman spectroscopy for chemical identification, raw material verification, contaminant detection, composition analysis, and process quality control.
- Color Learning Center — Learn about spectroscopic color measurement for product consistency, batch comparison, coatings, plastics, liquids, and industrial quality control.
- OEM Learning Center — Explore OEM spectrometer integration, embedded spectroscopy, fiber-optic configurations, software integration, and custom industrial measurement systems.







