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.
The PA6 and PA66 Challenge: Distinguishing the Indistinguishable
In the intricate dance of molecules that shapes the materials of our daily lives, polyamides play a leading role.
Plastic Recycling Revolution: NIR Spectroscopy’s Transformative Role
In our modern world, the issue of plastic recycling has evolved into a global environmental crisis, with millions of tons of plastic produced, used, and discarded each year.
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.
The PA6 and PA66 challenge
PA6 and PA66 look alike but do not recycle together. How NIR spectroscopy tells them apart in five seconds, without melting or pelletizing.
Near-infrared spectroscopy in recycling
Recycling has become an important subject in today’s society due to the impact of waste on our environment and the loss of valuable resources.