Food Safety & Quality
Featured Articles
Can Spectroscopy Help Detect Food Contamination Earlier?
The 2026 Cyclospora outbreak linked to iceberg lettuce highlights a persistent challenge in food production: contamination can move through the supply chain before conventional testing identifies a problem. Emerging research suggests that NIR, Raman/SERS, chemometrics and machine learning may provide food producers with additional tools for faster screening and earlier investigation.
Predicting Avocado Ripeness with NIR Spectroscopy
Knowing when an avocado is ready for market can be challenging without cutting into the fruit. This application demonstrates how near-infrared spectroscopy and chemometric analysis can predict avocado ripeness quickly and non-destructively, providing a potential tool for monitoring fruit quality and improving consistency throughout the supply chain.
Taking NIR Spectroscopy to the Strawberry Field
What can spectroscopy reveal about strawberries in the field? This application follows a portable NIR spectroscopy system into a strawberry field to demonstrate how rapid, non-destructive measurements can help evaluate fruit quality and collect valuable data outside of the laboratory.
Customer Research & Publications
The Preferences of Different Cultivars of Lettuce Seedlings (Lactuca sativa L.) for the Spectral Composition of Light
Barbara Frąszczak and Monika Kula-Maximenko Abstract The spectrum of light significantly influences the growth of plants cultivated in closed systems. Five lettuce cultivars with different leaf...
Sunburn control by nets differentially affects the antioxidant properties of fruit peel in ‘Gala’ and ‘Fuji’ apples
Héctor Olivares-Soto, Richard M. Bastías, Arturo Calderón-Orellana & María Dolores López Abstract Netting has been widely used in recent years to protect apple fruit from solar injury. There is...
Spectroscopy of Beer- St. Patrick’s Day Beer Color Analysis
StellarNet celebrates St. Patrick's Day at Brew Bus Brewing by analyzing green beer. David Parrino, Director of OEM Business at StellarNet, uses the new ColorWiz Mobile App for Android and iPhone to...
November Spectroscopy Spotlight: Harvesting and Food Quality Applications
To celebrate the fall harvest and Thanksgiving, the StellarNet team has put together a collection of food quality spectrometer applications. Some of the applications are from our favorite 2020...
Fish Freshness Assessment using NIR spectroscopy
Jyotsna Dei; Hemanta Naskar; Samhita Dasgupta; Shreya Nag; Bijay Kumar Behera; Bipan Tudu; Runu Banerjee Roy; Rajib Bandyo Abstract The feasibility of near- infrared (NIR) spectroscopy to...
Discrimination of Various Clones of Black Tea Using NIR Spectroscopy
Debangana Das; Shreya Nag; Hemanta Naskar; Ajanto Kumar Hazarika; Runu Banerjee Roy; Santanu Sabhapondit; Bipan Tudu Abstract In this work, discrimination of five different clones of black tea viz.,...
Spectroscopy Applications
Astronomy, Space & Remote Sensing
Advanced & quantum materials
Thin Films & Optical Coatings
Pharmaceuticals & Nutraceuticals
Biomedical & Life Sciences
Environmental & Microplastics
Industrial & Process Analysis
Lighting, Displays & Radiometry
Food Safety & Quality Spectrometers
Learn More
Explore Raman, UV-VIS, and NIR spectroscopy through practical guides, application notes, videos, technical resources, and real-world research. Learn the fundamentals of each technique and see how spectroscopy can be applied to material identification, chemical analysis, composition measurements, and quality control. These Learning Centers bring together practical resources to help researchers and engineers better understand their measurements and get more from their spectroscopy systems.
- NIR Learning Center — Discover NIR analysis for composition, material identification, and fast measurement applications.
- Raman Learning Center — Explore molecular identification, material analysis, and practical Raman measurement techniques.
- UV-VIS Learning Center — Learn about absorbance, transmission, and applications across research and analytical spectroscopy.