Blog
How Portable NIR and Advanced Modeling Are Reshaping Quality and Trust in the Tobacco Industry
Traditional tobacco has always been complex. Leaf origin, curing, fermentation, blending – variability is intrinsic to the material itself.
Understanding Regression: Theory to Real-World Use
Regression models turn an NIR spectrum into a number: fat in olives, moisture in meat, API content in a tablet. PCR, PLS, SVR and neural networks explained.
Instant Ingredient Verification with Portable NIR
Raw material identification is vital for quality and safety in agribusiness, especially in food and beverage.
How Light Uncovers Coffee’s Hidden Story
From soil to leaf to bean: portable NIR gives coffee growers moisture, nutrient and organic matter readings on the spot instead of weeks later.
Understanding Classification Problems: Theory to Real-World applications with NIRLAB
Classification models sort NIR spectra into categories: genuine or counterfeit, THC or CBD cannabis, PA6 or PA66. How the algorithms work, with real cases.
Portable NIR Solution for Instant Meat Quality Checks
How do you guarantee the quality of every cut of meat when production lines need to run efficiently and customer demands keep climbing?
Rapid Detection and Quantification of Falsified Viagra
Peer-reviewed study: portable NIR and machine learning told authentic Viagra from falsified tablets, even through the blister, with no false positives.
Measuring Olives and Olive Oil on the spot
Oil content, water, polyphenols and free fatty acids, measured on the olives, in the paste or in the finished oil: how portable NIR helps producers decide.
Portable vs. Benchtop NIR – Which One Will Lead the Future of Spectroscopy?
In the world of Near-Infrared spectroscopy, the debate between handheld and benchtop devices has been ongoing for years.
Unlocking the Future of Corn Production with Real-Time Analysis
Soil nutrients, plant tissue and post-harvest moisture and starch: how one portable NIR device supports every stage of corn production.