| Autor: |
Resendiz-Moctezuma C; Food Science and Human Nutrition Department, University of Illinois at Urbana-Champaign, 1302 W. Pennsylvania Ave., Urbana, IL 61801, USA., Fonville APL; Food Science and Human Nutrition Department, University of Illinois at Urbana-Champaign, 1302 W. Pennsylvania Ave., Urbana, IL 61801, USA., Harsh BN; Animal Sciences Department, University of Illinois at Urbana-Champaign, 1503 Maryland Dr., Urbana, IL 61801, USA., Stasiewicz MJ; Food Science and Human Nutrition Department, University of Illinois at Urbana-Champaign, 1302 W. Pennsylvania Ave., Urbana, IL 61801, USA., Miller MJ; Food Science and Human Nutrition Department, University of Illinois at Urbana-Champaign, 1302 W. Pennsylvania Ave., Urbana, IL 61801, USA. |
| Abstrakt: |
The many possible treatments and continuously changing consumer trends present a challenge when selecting antimicrobial interventions during pork processing. Thirty-five potential antimicrobials were screened at commercial working concentrations by individually adding them to miniaturized (69 cm 3 ) disks of pork loin ends, followed by inoculation with Salmonella Typhimurium ATCC 19585. Two organic acids and nine essential oils significantly inhibited Salmonella counts on pork ( p < 0.05). However, six compounds that represent different levels of significance ( p < 0.05- p < 0.0001) were selected as independent variables to build a Response Surface Methodology model based on a Doehlert matrix (Doehlert Matrix-RSM): lactic acid 1.25%, formic acid 0.25%, cumin 0.25%, clove 0.25%, peppermint 0.5%, and spearmint 0.5%. The goal of the Doehlert Matrix-RSM was to study single and paired effects of these antimicrobials on the change in Salmonella over 24 h. The Doehlert Matrix-RSM model predicted that lactic acid, formic acid, cumin, peppermint, and spearmint significantly reduced Salmonella when added alone, while no significant interactions between these antimicrobials were found. A laboratory-scale validation was carried out on pork loin end slices, which confirmed the results predicted by the model. While this screening did not identify novel synergistic combinations, our approach to screening a variety of chemical compounds by implementing a miniaturized pork loin disk model allowed us to identify the most promising antimicrobial candidates to then formally design experiments to study potential interactions with other antimicrobials. |
