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.
Molecular Vibrations with NIR: A Detailed Exploration
Near-Infrared Spectroscopy (NIR) is a fascinating and versatile analytical technique widely used in various scientific and industrial fields.
Navigating the Waters: Decoding the Intricacies of Water in NIR Spectroscopy
In today’s fast-paced world of scientific innovation, Near-Infrared (NIR) Spectroscopy has established itself as a vital tool across various sectors.
FTIR vs. NIR Spectroscopy: A Comparative Analysis
In the world of spectroscopic analysis, two prominent methods stand out: Near-Infrared (NIR) and Fourier Transform Infrared (FTIR) Spectroscopy.
The Science Behind NIR: How It Helps in Material Identification
The science behind NIR spectroscopy: what near-infrared light reveals about a material, how the technique evolved and where it is used today.