Curtin University

About: Curtin University is a education organization based out in Perth, Western Australia, Australia. It is known for research contribution in the topics: Population & Zircon. The organization has 14257 authors who have published 48997 publications receiving 1336531 citations. The organization is also known as: WAIT & Western Australian Institute of Technology.

Active and intelligent packaging in meat industry

Abstract: Background Microbial contamination and lipid and protein oxidation are major concerns for meat and meat products in terms of food safety and quality deterioration. The meat quality and safety properties are highly dependent on packaging materials and technologies. Scope and approach To achieve longer shelf life, active packaging and intelligent packaging have been developed to change the conditions of the package, impart information, monitor the product supply chain, and provide anti-counterfeit functionality. This will effectively enhance food safety and quality and consequently increase the product value, convenience, and consumer satisfactions. This review analyzes the recent developments in active and intelligent packaging in the meat industry, in both research and commercial domains. The global patents and future research trends are also discussed. Key findings and conclusions Active and intelligent packaging offer great opportunities for enhancing meat safety, quality, and convenience, and consequently decrease the number of retailer and consumer complaints. Some important factors such as legislation concerns (e.g. migration of active substances from packaging materials, labelling), economics and consumers' preferences should be considered to successfully implement antimicrobial and intelligent packaging solutions in the meat industry.

The Case for Using the Repeatability Coefficient When Calculating Test–Retest Reliability

Abstract: The use of standardised tools is an essential component of evidence-based practice. Reliance on standardised tools places demands on clinicians to understand their properties, strengths, and weaknesses, in order to interpret results and make clinical decisions. This paper makes a case for clinicians to consider measurement error (ME) indices Coefficient of Repeatability (CR) or the Smallest Real Difference (SRD) over relative reliability coefficients like the Pearson’s (r) and the Intraclass Correlation Coefficient (ICC), while selecting tools to measure change and inferring change as true. The authors present statistical methods that are part of the current approach to evaluate test–retest reliability of assessment tools and outcome measurements. Selected examples from a previous test–retest study are used to elucidate the added advantages of knowledge of the ME of an assessment tool in clinical decision making. The CR is computed in the same units as the assessment tool and sets the boundary of the minimal detectable true change that can be measured by the tool.