Predictive Modeling for the Growth of <i>Aeromonas hydrophila</i> on Lettuce as a Function of Combined Storage Temperature and Relative Humidity.

Park, Shin Young; Choi, Song-Yi; Ha, Sang-Do

Predictive Modeling for the Growth of Aeromonas hydrophila on Lettuce as a Function of Combined Storage Temperature and Relative Humidity.

Park, Shin Young; Choi, Song-Yi; Ha, Sang-Do.

Afiliação

Park SY; 1 Department of Seafood and Aquaculture Science, Institute of Marine Industry, Gyeongsang National University, Tongyeong, Republic of Korea.
Choi SY; 2 Department of Agrofood Resources, Rural Development of Administration, Wanju-Gun, Republic of Korea.
Ha SD; 3 Advanced Food Safety Research Group, BrainKorea21 Plus, Department of Food Science and Technology, Chung-Ang University, Ansung, Republic of Korea.

Foodborne Pathog Dis ; 16(6): 376-383, 2019 06.

Article em En | MEDLINE | ID: mdl-30864848

Assuntos

Aeromonas hydrophila/isolamento & purificação; Microbiologia de Alimentos; Lactuca/microbiologia; Aeromonas hydrophila/fisiologia; Armazenamento de Alimentos; Humanos; Umidade; Modelos Biológicos; Temperatura

Palavras-chave

lettuce; predictive growth model; relative humidity; temperature

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aeromonas hydrophila / Lactuca / Microbiologia de Alimentos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Foodborne Pathog Dis Assunto da revista: CIENCIAS DA NUTRICAO / MICROBIOLOGIA / PARASITOLOGIA Ano de publicação: 2019 Tipo de documento: Article

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