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NIR Spectroscopy for Espresso Quality Prediction by maritzarojastrujillo16 is a document available to read on EtoBox.

What is NIR Spectroscopy for Espresso Quality Prediction about?

This study explores the use of near-infrared (NIR) spectroscopy to predict sensory properties of espresso from roasted coffee samples, focusing on attributes like acidity, mouthfeel, bitterness, and aftertaste. Calibration models based on partial least squares regression (PLS) were developed, achieving high accuracy in predicting sensory responses, comparable to trained sensory panel evaluations. The findings suggest that NIR spectroscopy could serve as a reliable, non-destructive method for quality assuran

Author

maritzarojastrujillo16

Language

EN