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Batch accuracy of on-line fat determination.
P W Hansen1, I Tholl, C Christensen
1FOSS A/S, Slangerupgade 69, DK-3400 Hillerød, Denmark.
Meat Science
|November 9, 2011
Summary
A novel dual-energy X-ray (DXR) scanning method accurately determines fat content in large meat batches without sampling. This technique minimizes errors, offering precise fat analysis for improved meat processing and quality control.
Area of Science:
- Food Science
- Analytical Chemistry
- Meat Technology
Background:
- Traditional meat fat analysis relies on sampling, which can introduce significant errors.
- Accurate fat content determination is crucial for meat product quality, consistency, and regulatory compliance.
Purpose of the Study:
- To introduce and validate a non-sampling method for determining the fat content of large meat batches.
- To assess the accuracy and error reduction capabilities of dual-energy X-ray (DXR) scanning for meat analysis.
Main Methods:
- Dual-energy X-ray (DXR) scanning was applied to pork trimmings before batch mixing.
- Meat batches of varying sizes (27-241 kg) were analyzed using DXR and compared against a reference method.
- Measurement errors were quantified using the root mean square error of prediction (RMSEP).
Main Results:
- The DXR method provided accurate fat content determination without the need for physical sampling.
- Prediction error decreased with increasing batch size, from 0.57% at 27 kg to 0.34% at 241 kg.
- The study highlighted the substantial sampling error inherent in traditional methods (4.7% standard deviation for high-fat samples).
Conclusions:
- DXR scanning offers a precise and efficient alternative to traditional sampling methods for fat determination in large meat batches.
- Eliminating sampling significantly reduces analytical errors, leading to more reliable fat content data.
- This technology has the potential to enhance quality control and process optimization in the meat industry.
