Contemporary chemical lean determination used in the Australian meat processing industry: A method comparison
Peter Watkins1, Katherine Stockham2, Sarah Stewart3
1CSIRO, 671 Sneydes Road, Werribee, VIC 3030, Australia.
Meat Science
|September 5, 2020
Summary
Chemical Lean (CL) determination is crucial for Australian meat exports. This study compared various methods, finding that multiple techniques, from wet chemistry to instrumental analysis, are suitable for accurate CL measurements in beef, lamb, and pork.
Area of Science:
- Food Science and Technology
- Analytical Chemistry
- Meat Science
Background:
- Chemical Lean (CL) quantifies lean meat versus fat content in meat products.
- Accurate CL determination is a mandatory AUS-MEAT Ltd. requirement for Australian meat exports.
- Diverse analytical methods are currently employed in the Australian meat industry for CL measurement.
Purpose of the Study:
- To compare the performance of various approved methods for Chemical Lean determination.
- To assess the suitability of different analytical techniques for CL measurement in the Australian meat industry.
Main Methods:
- Method comparison involved Soxhlet fat extraction and microwave moisture analysis.
- Instrumental techniques evaluated included Near Infrared Reflectance/Transmittance, Nuclear Magnetic Resonance, and X-Ray.
- Statistical analyses employed Passing-Bablok regression, Bland-Altman plots, and robust z-scores.
Main Results:
- All evaluated methods demonstrated satisfactory performance for Chemical Lean determination.
- The study confirmed the suitability of both wet chemical and instrumental techniques.
- Results indicate consistency across a range of analytical approaches for CL measurement.
Conclusions:
- Multiple methods are suitable for Chemical Lean determination in the Australian meat industry.
- The findings support the continued use of approved analytical techniques for export meat products.
- This research validates the reliability of various CL measurement approaches for industry compliance.


