Theory and practice of meat processing, Journal Year: 2024, Volume and Issue: 9(1), P. 15 - 23
Published: April 1, 2024
One of the key factors while developing nutritional supplements is their bioavailability. To determine it, expensive and timeconsuming clinical studies developed products are necessary. Using in silico methods may speed up reduce costs such studies. The purpose this study to develop an approach predicting integral bioavailability enteral nutrition (ENPs) based on a comprehensive analysis matrices components indicators. includes empirical comparative statistical matrix studied ENPs components. Available information composition indicators 52 commercial was used as research object. This compiled into indicators, marked according intended purposes products. set included divided 2 subsets: corresponding given other ENPs. made it possible separate statistically significant that define product with threshold maximum error probability for inequality mean values. Harrington’s desirability principle relation identified obtain estimate purpose. A vector characterizing distance from ideal value introduced equivalent predicted upper limit optimal range 0.37, acceptable 0.63. scale inverse scale. In contrast Harrington scaling, lower value, more preferable is. Analysis indicator allowed us establish variability respect diabetes mellitus thermal injury. Based proposed vector, has been evolutionary development when designing universal addition food combinatorics meat, dairy plant-based
Language: Английский