Growth evaluation of Escherichia coli O157:H7, Salmonella typhimurium, and Listeria monocytogenes in fresh fruit and vegetable juices via predictive modeling

Lee, Soyul; Han, Areum; Yoon, Jae‐Hyun; Lee, Sun-Young

doi:10.1016/j.lwt.2022.113485

Cited by 16 publications

(5 citation statements)

References 22 publications

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“…A primary and secondary model was used to describe the specific growth rate of E. coli O157:H7. The growth data of the study of Oh et al [34] were fitted using the modified Gompertz model, which is a primary model that is widely used in predictive microbiology of E. coli strains [35,36]. The formulations of the modified Gompertz model equations are as follows [37]:…”

Section: Growth Modelmentioning

confidence: 99%

Effect of 450 nm Visible Blue Light from Light-Emitting Diode on Escherichia coli O157:H7 in Agar Gels: Optimizing the Lighting Array and Quantitative Microbial Exposure Assessment

Jung

Yoon

2023

Processes

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Visible blue light emitting diodes (LED) have been studied to inactivate Escherichia coli (E. coli) O157:H7 in agar gels. The LED array was optimized to attain uniform light illumination, and the light intensity distribution was visualized through optical simulation. The uniformity of LED light intensity was assessed, and the evenly spaced array showed the best uniformity with a Petri factor of 0.99. Microbial populations in agar gels prepared with and without a dye were analyzed after light irradiation. Each segment of the gels with different heights was taken to measure microbial reduction, and the results indicated that optical properties, such as opaqueness, played an important role in microbial reduction. The agar gel without and with a dye showed a maximum reduction of <3.4 and <2.1 log CFU/g, respectively. An exposure assessment for E. coli O157:H7 was conducted based on the assumption for the agar gel product after LED illumination. The probability results indicated that a risk (>5 log CFU/g) existed mainly in the bottom layer of the sample, despite the average contamination being <5 log CFU/g. This study provides a suitable approach for designing the LED photoinactivation process and subsequent exposure assessment to avoid risk.

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Section: Growth Modelmentioning

confidence: 99%

Effect of 450 nm Visible Blue Light from Light-Emitting Diode on Escherichia coli O157:H7 in Agar Gels: Optimizing the Lighting Array and Quantitative Microbial Exposure Assessment

Jung

Yoon

2023

Processes

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“…Red cabbage is a rich source of antioxidants such as anthocyanins, glucosinolates, and sulfur compounds such as methyl methanethiosulfinate, known to have inhibitory effects on foodborne pathogens [51][52][53][54]. Similarly, the inhibitory effect of grated or cut carrots on L. monocytogenes [25,36] and S. typhimurium [55] was reported. Additionally, phenolic phytoalexins such as 6-methoxymellein present in carrot [55] and red cabbage have the ability to change the permeability of microbial cell membranes, which can result in the leakage of cellular content, the denaturation or inhibition of crucial metabolic enzymes, and ultimately death [53,56].…”

Section: Effect Of Pre-growth Temperature On the Survival Kinetics Of...mentioning

confidence: 99%

Effect of Different Pre-Growth Temperatures on the Survival Kinetics of Salmonella enterica and Listeria monocytogenes in Fresh-Cut Salad during Refrigerated Storage

Kaur,

Yemmireddy

2023

Foods

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The effect of the pre-growth temperature of bacterial cultures on their subsequent survival kinetics in fresh-cut produce during refrigerated storage was investigated in this study. Three-strain cocktails of Listeria monocytogenes and Salmonella enterica, cultured at different growth temperatures (4, 21, and 37 °C) were inoculated on fresh-cut mixed salad and on individual produce in the mixed salad. The inoculated samples were stored at 4 °C and 80 ± 2% relative humidity (RH) for up to 72 h and the growth, survival, or death kinetics were determined at regular intervals. The results indicate that depending upon the type of pathogen tested, the pre-growth temperature(s) and the type of produce showed a significant (p ≤ 0.05) effect on the survival kinetics. Among the tested produce, mixed salad showed the highest reduction in L. monocytogenes pre-grown at 37 °C (1.33 log CFU/g) followed by red cabbage (0.56 log CFU/g), iceberg lettuce (0.52 log CFU/g), and carrot (−0.62 log CFU/g), after 72 h, respectively. In the case of Salmonella, carrot showed the highest reduction (1.07 log CFU/g for 37 °C pre-grown culture) followed by mixed salad (0.78 log CFU/g for 37 °C pre-grown culture), cabbage (0.76 log CFU/g for 21 °C pre-grown culture), and lettuce (0.65 log CFU/g for 4 °C pre-grown culture), respectively. Among the tested ComBase predictive models, the Baranyi–Roberts model better fitted the experimental data. These findings indicate that the appropriate selection of pre-growth environmental conditions is critical to better understand the kinetics of foodborne pathogens.

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“…As one of the most dangerous pathogens, Escherichia coli O157:H7 (E. coli O157:H7) will lead to bacterial foodborne and waterborne diseases. − Infection by E. coli O157:H7 causes illnesses such as bloody diarrhea, hemolytic uremic syndrome, kidney failure, and even death. − Since trace levels of these pathogens (10 CFU) can be infectious, for susceptible a population, rates of infection could peak fairly rapidly .…”

Section: Introductionmentioning

confidence: 99%

Trace Detection of E. coli O157:H7 Cells by an Au Nanoparticle-Based SERS Aptasensor

Tian

Zhao

et al. 2023

ACS Appl. Nano Mater.

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Drinking polluted water can cause deadly diseases, and clean water is becoming increasingly scarce in the environment. Various pathogens in water will affect environmental safety and human health, so it is necessary to detect pathogens with sensitivity, specificity, simplicity, and celerity. Here, we designed a surface-enhanced Raman scattering (SERS) adaptive sensor based on rolling cycle amplification (RCA), in which the introduced Au nanoparticle-based SERS aptasensor could transform the concentration signal of Escherichia coli into a Raman signal, realizing the sensitive analysis of E. coli O157:H7 (E. coli O157:H7). In this strategy, the magnetic beads were modified with double-stranded DNA (dsDNA) to recognize E. coli and initiate RCA. In the presence of E. coli, one strand of dsDNA will recognize it and unchained from dsDNA and the other strand of dsDNA will act as a trigger for RCA. Then, the RCA reaction was initiated. A large number of SERS probes can be attached to RCA products to achieve a strong Raman signal. Under the optimal conditions, we obtained a low limit of detection (LOD = 0.3 CFU/mL) and a wide detection range (102–107 CFU/mL). Also, this SERS aptasensor can complete the detection within 45 min. It can be concluded that this SERS aptasensor has wide application prospects in food safety inspections, environmental monitoring, and clinical diagnosis, as it can provide a fast, sensitive, and one-pot platform for bacterial detection.

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Growth evaluation of Escherichia coli O157:H7, Salmonella typhimurium, and Listeria monocytogenes in fresh fruit and vegetable juices via predictive modeling

Cited by 16 publications

References 22 publications

Effect of 450 nm Visible Blue Light from Light-Emitting Diode on Escherichia coli O157:H7 in Agar Gels: Optimizing the Lighting Array and Quantitative Microbial Exposure Assessment

Effect of 450 nm Visible Blue Light from Light-Emitting Diode on Escherichia coli O157:H7 in Agar Gels: Optimizing the Lighting Array and Quantitative Microbial Exposure Assessment

Effect of Different Pre-Growth Temperatures on the Survival Kinetics of Salmonella enterica and Listeria monocytogenes in Fresh-Cut Salad during Refrigerated Storage

Trace Detection of E. coli O157:H7 Cells by an Au Nanoparticle-Based SERS Aptasensor

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