Synergistic Effect of Heat and Elevated Hydrostatic Pressure for Inactivation of Listeria monocytogenes

Synergistic Effect of Heat and Elevated Hydrostatic Pressure for Inactivation of Listeria monocytogenes

Recent epidemiological investigations derived from CDC active surveillance data indicates 99% of illnesses caused by Listeria monocytogenes are foodborne in nature, leading to hospitalizations in 94% of episodes, and are collectively responsible for estimated 266 annual deaths of American adults. Current study investigates effects of elevated hydrostatic pressure on cell reduction and inactivation rates of Listeria monocytogenes at 4 and 55ºC. Various times (0 to 10 minutes) and intensity levels (0 to 380 MPa) of elevated hydrostatic pressure were investigated for inactivation of Listeria monocytogenes inoculated into phosphate-buffered saline at target population of 7.5 log CFU/mL. Temperature was monitored, and maintained at 4 and 55 ºC by a circulating water bath and a stainless steel water jacket surrounding the chamber. The experiment was conducted in two biologically independent repetitions, as blocking factors of a randomized complete block design, containing three repetitions per time/temperature/pressure within each block. Experiment was analyzed by GLM procedure of SAS using Tukey- and Dunnett-adjusted ANOVA. The inactivation Kmax and D-values were calculated using best-fitted (maximum R2) model obtained by GInaFiT software. At 380 MPa (0 to 10 minutes), D-value of 2.81 min and inactivation Kmax of 1.60±0.41 1/min were observed at 4 ºC. At 55 ºC, these values were 1.59, and 3.94±0.96, respectively. At 4 ºC, the pathogen were reduced (P< 0.05) by 3.84, 2.44, and 1.05 log CFU/mL after exposure to 10 minutes of hydrostatic pressure at 380, 310, and 240 MPa, respectively. These reductions (P< 0.05) were >7.13, 6.36, and 4.53 for 10-minute treatments at 55 ºC, respectively. Treatments below two minutes were less efficacious (P ≥ 0.05) against the pathogen in vast majority of the tested time, temperature, and pressure combinations. Results of this study could be incorporated as part of a risk assessment modeling and predictive microbiology for reducing the public health burden of listeriosis.