Journal article
Contemporary chemical lean determination used in the Australian meat processing industry: A method comparison
Meat Science, Vol.171, Article 108289
2021
Abstract
Chemical Lean (CL) is defined as the amount of lean red meat compared to the amount of fat in a meat product. CL determination is a mandatory, AUS-MEAT Ltd. prescribed requirement for any bulk packed meat product destined for export. Fifteen methods are approved by AUS-MEAT Ltd., for use in Australian industry. Engagement with Australian meat processors indicated that a range of methods were used for CL measurements in industry, ranging from wet chemical to instrumental based techniques. Meat (consisting of beef, lamb and pork) was used in a method comparison which included Soxhlet fat extraction and microwave moisture analysis, along with instrumental techniques; near infrared reflectance and transmittance, nuclear magnetic resonance and X-Ray. The methods were compared using Passing-Bablok regression, Bland-Altman plot analysis, and robust z-scores, indicating that overall showed that each method performed satisfactorily, suitable for CL determination in the Australian meat industry.
Details
- Title
- Contemporary chemical lean determination used in the Australian meat processing industry: A method comparison
- Authors/Creators
- P. Watkins (Author/Creator) - Commonwealth Scientific and Industrial Research OrganisationK. Stockham (Author/Creator) - National Measurement InstituteS. Stewart (Author/Creator) - Murdoch UniversityG. Gardner (Author/Creator) - Murdoch University
- Publication Details
- Meat Science, Vol.171, Article 108289
- Publisher
- Elsevier BV
- Identifiers
- 991005544232407891
- Copyright
- © 2020 Published by Elsevier Ltd
- Murdoch Affiliation
- School of Veterinary and Life Sciences
- Language
- English
- Resource Type
- Journal article
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- Citation topics
- 1 Clinical & Life Sciences
- 1.307 Laboratory Medicine
- 1.307.1039 Lab Quality Control
- Web Of Science research areas
- Food Science & Technology
- ESI research areas
- Agricultural Sciences