Editorial: Technological Advances in Microbiological Risk Assessment

Front Microbiol. 2022 Mar 17:13:872879. doi: 10.3389/fmicb.2022.872879. eCollection 2022.

Jun Wang¹, Biao Suo², Fereidoun Forghani³, Gongliang Zhang⁴, Bruce Applegate^{5

6}

¹ College of Food Science and Engineering, Qingdao Agricultural University, Qingdao, China.
² College of Food Science and Technology, Henan Agricultural University, Zhengzhou, China.
³ Molecular Epidemiology, Inc., Lake Forest Park, WA, United States.
⁴ School of Food Science and Technology, Dalian Polytechnic University, Dalian, China.
⁵ Department of Food Science, Purdue University, West Lafayette, IN, United States.
⁶ Department of Biological Sciences, Purdue University, West Lafayette, IN, United States.

No abstract available

Keywords: growth model; inactivation model; microbiological risk assessment; predictive microbiology; rapid detection.

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