Analysis of Pet Food with FT-NIR Spectroscopy

Importance of the Topic

Pet food quality depends on precise nutrient composition to support animal health and consumer trust. Variability in raw materials challenges manufacturers to maintain consistent products at acceptable cost. Rapid, accurate analysis is essential for formulating balanced diets and ensuring quality control across production stages.

Objectives and Study Overview

This application note demonstrates the use of Fourier transform near-infrared (FT-NIR) spectroscopy for fast, non-destructive analysis of key parameters in raw materials and finished pet food. The goal is to enable seconds-scale measurement of moisture, ash, fiber, protein, fat and starch, supporting real-time decision making in production and packaging.

Methodology and Sample Measurement

• Solid samples (raw ingredients and final kibbles) are placed in quartz-bottom cups on an integrating sphere and measured in diffuse reflectance mode, with sample rotation for reproducibility.
• Liquid fats and oils are filled into standard glass vials and analyzed in dedicated sample compartments.
• Custom calibration models predict compositional parameters based on spectral data.

Used Instrumentation

• MPA II and MPA III multi-purpose FT-NIR analyzers
• TANGO-R and TANGO-T routine FT-NIR spectrometers
• MATRIX-F II process spectrometer for inline monitoring
• BEAM single-point FT-Power spectrometer

Main Results and Discussion

Calibration graphs reveal strong correlations for protein and fat quantification. FT-NIR enables detailed assessment of fat quality, including omega-3 (EPA, DHA), total trans and free fatty acids, and overall fatty acid composition. Implementation of online process NIR facilitates continuous monitoring, reducing rework and ensuring consistent product quality, with typical return on investment envisaged within one year.

Benefits and Practical Applications of the Method

• Rapid at-line or inline analysis by production personnel
• Minimal sample preparation without hazardous reagents
• Cost-effective monitoring of raw inputs and final products
• Supports least-cost formulation and quality assurance

Future Trends and Opportunities

Advances in calibration transfer and chemometric algorithms will expand the applicability of FT-NIR. Integration with process automation and remote monitoring systems will enable smart manufacturing in pet food production. Development of universal calibration packages further simplifies deployment across diverse ingredients and finished goods.

Conclusion

FT-NIR spectroscopy offers a robust, efficient solution for compositional analysis in pet food manufacturing, delivering fast, accurate results that streamline quality control and optimize production.

References

No explicit references were provided in the source text.