Blog
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.
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 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.
Sustainable Farming with NIRLAB’s Real-Time Analysis
What portable NIR sensors measure for farmers: moisture and NPK in soil and crop tissue, protein, fiber and fat in feed, with results in the field.
Counterfeit Medicines: Unmasking the Role of NIR Spectroscopy
In the realm of pharmaceutical integrity and patient safety, the battle against counterfeit medicines presents a formidable challenge.
Scanning Living Fish: A Case Study for Real-Time Fat Level Analysis
How a handheld NIR spectrometer measures fat, pigment, moisture and omega-3 levels in living salmon, without harming the fish or waiting for the lab.
Food Safety: The Future with NIR Technology
In today’s food safety era, Near Infrared (NIR) technology, led by NIRLAB, transforms how we ensure food quality and safety.
NIRLAB’s Role in Combating Counterfeit Cosmetics to Protect Consumers and Sellers
In an industry as dynamic and rapidly evolving as beauty, the threat of counterfeit cosmetics is a major concern.
Asbestos Detection: Unmasking the Hidden Danger with Advanced Techniques in Using NIR Spectroscopy
Asbestos, once prized in construction, remains a hidden hazard. The limits of traditional detection and how NIR spectroscopy can help identify it on site.