Inactivation of Bacillus cereus from pork by thermal, non-thermal and single-frequency/multi-frequency thermosonication: Modelling and effects on physicochemical properties.

Owusu‐Ansah, Patrick; Yu, Xiaojie; Osae, Richard; Mustapha, Abdullateef Taiye; Rong, Zhang; Zhou, Cunshan

doi:10.1016/j.lwt.2020.109939

Cited by 13 publications

(12 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Drying and rehydration data were fitted with the models by using OriginPro 9.0. The reduced chi-square (χ 2 ), coefficient of determination (R 2 ), the sum of square error (SSE), and root mean square error (RMSE) were obtained using the Equation (8a-d) (Benseddik et al, 2019;Boateng et al, 2021;Ertekin & Firat, 2017;Osae, Essilfie, Alolga, Bonah, et al, 2020;Owusu-Ansah et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

“…Drying and rehydration data were fitted with the models by using OriginPro 9.0. The reduced chi‐square ( χ 2 ), coefficient of determination ( R 2 ), the sum of square error (SSE), and root mean square error (RMSE) were obtained using the Equation (8a‐d) (Benseddik et al., 2019; Boateng et al., 2021; Ertekin & Firat, 2017; Osae, Essilfie, Alolga, Bonah, et al., 2020; Owusu‐Ansah et al., 2020).

R^{2} = 1 - \frac{\sum_{i = 1}^{N} {((), M R_{e x p, i} - M R_{p r e, i})}^{2}}{\sum_{i = 1}^{N} {((), {\bar{M R}}_{e x p, i} - M R_{p r e, i})}^{2}},

where

{\bar{M R}}_{e x p, i} = \frac{\sum_{i = 1}^{N} M R_{e x p, i}}{N}

x^{2} = \frac{\sum_{i = 1}^{N} {((), M R_{e x p, i} - M R_{p r e, i})}^{2}}{N - n},

R M S E = \sqrt \frac{\sum_{i = 1}^{N} {((), M R_{p r e, i} - M R_{e x p, i})}^{2}}{N},

S S E = \sum_{i = 1}^{N} ((), M R_{e x p})

…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Osmotic, osmovacuum, sonication, and osmosonication pretreatment on the infrared drying of Ginkgo seed slices: Mass transfer, mathematical modeling, drying, and rehydration kinetics and energy consumption

Boateng

Xiaoming

2021

Journal of Food Science

View full text Add to dashboard Cite

This study evaluated the mass transfer, drying, and rehydration kinetics (drying and rehydration curve, moisture diffusivity [Deff]), energy consumption (specific energy consumption [SEC], moisture extraction rate (MER), and specific moisture extraction rate [SMER]), and mathematical modeling of infrared dried Ginkgo biloba seed (GBS) using the various nonthermal pretreatments namely: osmotic (OS), osmovacuum (V + OS), ultrasound (US, ginkgo seed immersed in a distilled water with US), and osmosonication (US + OS, ginkgo seeds immersed in an OS solution with US). Results showed that various pretreatments affected mass transfer, drying, and rehydration characteristics, and energy consumption, which was confirmed by principal component analysis. In terms of mass transfer, US pretreatment recorded the highest weight loss while the osmosonication pretreatment registered the highest solid gain. The entire drying process occurred in the falling‐rate period. The Deff values were within the normal range of agroproducts (10−11 to 10−8 m2/s). The modified Page‐I and Weibull model best fitted the drying and rehydration kinetics, respectively, with the coefficient of determination (R2) > 0.991, root mean square error, residual sum of squares, and reduced chi‐square closer to zero, compared with the other models. The untreated GBS (control) had the lowest energy efficiency (lowest SMER and MER) and the highest SEC than the pretreated GBS. Among the various pretreatments, the US pretreatment of GBS was superior, with the highest Deff, MER, SMER, and drying rate, and lowest drying time and SEC. Based on the findings, sequential US pretreatment and infrared drying is a feasible drying technique for GBS that could be used commercially. Practical Application Ginkgo tree cultivation in China has exceeded market needs with 60,000 tons per annum of GBS produced. Hence, there is a compelling need to explore new chances to use GBS availability irrespective of the seasonality and address the problem where GBS utilization is limited to the early phases of home‐cooked dishes. Although drying increases the shelf life of ginkgo seeds, there is a higher operation cost. Thus, pretreatment can reduce energy consumption and augment the product quality is ideal. This research reported the impact of nonthermal pretreatments on ginkgo seeds’ mass transfer, drying, and rehydration characteristics. The present results will provide a comprehensive understanding of the engineering application of ginkgo seed pretreatment, allowing for the best technique to be selected.

show abstract

Section: Discussionmentioning

confidence: 99%

R^{2} = 1 - \frac{\sum_{i = 1}^{N} {((), M R_{e x p, i} - M R_{p r e, i})}^{2}}{\sum_{i = 1}^{N} {((), {\bar{M R}}_{e x p, i} - M R_{p r e, i})}^{2}},

where

{\bar{M R}}_{e x p, i} = \frac{\sum_{i = 1}^{N} M R_{e x p, i}}{N}

x^{2} = \frac{\sum_{i = 1}^{N} {((), M R_{e x p, i} - M R_{p r e, i})}^{2}}{N - n},

R M S E = \sqrt \frac{\sum_{i = 1}^{N} {((), M R_{p r e, i} - M R_{e x p, i})}^{2}}{N},

S S E = \sum_{i = 1}^{N} ((), M R_{e x p})

…”

Section: Methodsmentioning

confidence: 99%

Osmotic, osmovacuum, sonication, and osmosonication pretreatment on the infrared drying of Ginkgo seed slices: Mass transfer, mathematical modeling, drying, and rehydration kinetics and energy consumption

Boateng

Xiaoming

2021

Journal of Food Science

View full text Add to dashboard Cite

show abstract

“…The SSE, RMSE, A f and B f values were within the typical range for microbial decontamination studies [3] , [27] , [30] . Generally, R 2 and adj-R 2 values close to 1 and smaller SSE and RMSE values indicate the better fitting ability of a particular model [28] , [38] .

Fig.…”

Section: Resultsmentioning

confidence: 97%

“…The results suggested that pathogens were more susceptible to UPFB treatments since their counts were reduced considerably after shorter treatment times, which was consistent with the improved inactivation observed in the experimental data. Bacteria spores can show great resistance to singular treatments but may be readily inactivated at improved rates with combination or hurdle technologies [1] , [38] .…”

Section: Resultsmentioning

confidence: 99%

“…On the other hand, the log-logistic model is a vitalistic model for predicting non-linear inactivation kinetics and can be used for comparing the Weibull model, and the model parameters are given below [30] , [37] , [38] :

where

is the difference between the upper and lower asymptotes (log CFU/g),

is the maximum inactivation rate (log (CFU/g)/log min), and

is the log time to achieve the maximum inactivation rate (log min).…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation