Your browser doesn't support javascript.
loading
Population changes and growth modeling of Salmonella enterica during alfalfa seed germination and early sprout development.
Kim, Won-Il; Ryu, Sang Don; Kim, Se-Ri; Kim, Hyun-Ju; Lee, Seungdon; Kim, Jinwoo.
Afiliação
  • Kim WI; 1Microbial Safety Team, National Institute of Agricultural Sciences, Rural Development Administration, Wanju, 55365 Republic of Korea.
  • Ryu SD; 1Microbial Safety Team, National Institute of Agricultural Sciences, Rural Development Administration, Wanju, 55365 Republic of Korea.
  • Kim SR; 1Microbial Safety Team, National Institute of Agricultural Sciences, Rural Development Administration, Wanju, 55365 Republic of Korea.
  • Kim HJ; 1Microbial Safety Team, National Institute of Agricultural Sciences, Rural Development Administration, Wanju, 55365 Republic of Korea.
  • Lee S; 1Microbial Safety Team, National Institute of Agricultural Sciences, Rural Development Administration, Wanju, 55365 Republic of Korea.
  • Kim J; 2Institute of Agriculture and Life Science, Gyeongsang National University, Jinju, 52828 Republic of Korea.
Food Sci Biotechnol ; 27(6): 1865-1869, 2018 Dec.
Article em En | MEDLINE | ID: mdl-30483451
ABSTRACT
This study examined the effects of alfalfa seed germination on growth of Salmonella enterica. We investigated the population changes of S. enterica during early sprout development. We found that the population density of S. enterica, which was inoculated on alfalfa seeds was increased during sprout development under all experimental temperatures, whereas a significant reduction was observed when S. enterica was inoculated on fully germinated sprouts. To establish a model for predicting S. enterica growth during alfalfa sprout development, the kinetic growth data under isothermal conditions were collected and evaluated based on Baranyi model as a primary model for growth data. To elucidate the influence of temperature on S. enterica growth rates, three secondary models were compared and found that the Arrhenius-type model was more suitable than others. We believe that our model can be utilized to predict S. enterica behavior in alfalfa sprout and to conduct microbial risk assessments.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Food Sci Biotechnol Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Food Sci Biotechnol Ano de publicação: 2018 Tipo de documento: Article