NIRStudio
NIRStudio Specification Sheet
Learn about the features and performance of NIRStudio, a portable near-infrared spectroscopy (NIR) for testing agriculture, counterfeit drugs, food, and industrial materials.
New Perspective for the In-Field Analysis of Cannabis Samples Using Handheld Near-Infrared Spectroscopy
This study evaluates handheld NIR spectroscopy for non-destructive, in-field THC quantification in cannabis inflorescences and resins.
Development and Evaluation of Portable NIR Technology for the Identification and Quantification of Australian Illicit Drugs
This study evaluates portable near-infrared spectroscopy and machine learning to rapidly identify and quantify illicit drugs in Australia.
Providing Illicit Drugs Results in Five Seconds Using Ultra-Portable NIR Technology
An ultra-portable NIR detector paired with a mobile app delivers non-destructive illicit drug analysis and purity results within five seconds.
Rapid Detection and Quantification of Falsified Viagra Using Cloud-Based Portable NIR Technology and Machine Learning
Portable NIR spectroscopy paired with cloud data processing enables rapid, reliable, on-site detection of falsified Viagra tablets.
Scanning Living Fish: A Case Study for Real-Time Fat Level Analysis
NIRStudio uses non-invasive Near-Infrared Spectroscopy to measure fat, nutrients, and quality in live fish, advancing sustainable aquaculture.
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.
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 NIRStudio
Classification models sort NIR spectra into categories: genuine or counterfeit, THC or CBD cannabis, PA6 or PA66. How the algorithms work, with real cases.
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.