NIR Spectroscopy for Food Quality Assessment
What is NIR Spectroscopy?
NIR spectroscopy measures the absorption of near-infrared light (780-2500 nm) by organic molecules. The resulting spectra contain information about chemical bonds, particularly O-H, C-H, and N-H bonds found in proteins, fats, carbohydrates, and water.
Chemometric Methods for NIR Data
- PLS Regression — predicts quantitative properties (moisture, protein, fat content)
- PCA — exploratory analysis and outlier detection
- SIMCA — soft independent modeling of class analogy for classification
- LDA — linear discriminant analysis for authentication
Industry Applications
- Dairy: Rapid analysis of milk composition
- Grain & Flour: Protein and moisture content in real-time
- Meat: Fat content and freshness assessment
- Beverages: Sugar content and authentication of wines