This application note presents a method for determining oil content, alpha acids, and beta acids in oil-enriched CO2 hop extracts using FT-NIR spectroscopy combined with machine learning. Traditionally, these measurements have required hazardous chemicals and time-consuming procedures.
The study introduces a rapid, non-toxic alternative that avoids these drawbacks, demonstrating the technique's accuracy and efficiency through calibration models validated with cross-validation techniques. The approach offers significant benefits for quality control in brewing, reducing both the time and the environmental impact associated with traditional methods.