Effect of temperature on the growth kinetics and predictive growth model of Aeromonas hydrophila on squid (Sepioteuthis sepioidea)

2013 ◽  
Vol 23 (1) ◽  
pp. 307-312 ◽  
Author(s):  
Shin Young Park ◽  
Sang-Do Ha
Keyword(s):  
Growth Model ◽  
Growth Kinetics ◽  
Aeromonas Hydrophila ◽  
Effect Of Temperature

Precipitation of Oxygen and Mechanism of Stacking Fault Formation in Czochralski Silicon Bulk Crystals

1982 ◽  
Vol 14 ◽  
Author(s):  
Kazumi Wada ◽  
Naohisa Inoue ◽  
Jiro Osaka
Keyword(s):  
Growth Model ◽  
Growth Kinetics ◽  
Stacking Faults ◽  
Diffusional Growth ◽  
Czochralski Silicon ◽  
Self Diffusion ◽  
Diffusion Limited ◽  
Silicon Bulk ◽  
Precipitate Growth ◽  
Kinetics Of

ABSTRACTThis paper describes recent progress on nucleation and growth of oxide precipitates and stacking faults in Czochralski silicon. Conclusions on the growth kinetics of oxide precipitates are drawn from the experiments and analysis of growth kinetics of two-dimensional precipitates: The experimentally obtained growth kinetics, three-quarter power law is theoretically derived and the precipitate growth is demonstrated to be diffusion-limited by oxygen interstitials. The formation mechanism of stacking faults is the Bardeen-Herring mechanism. Based on diffusional growth model, the growth kinetics of stacking faults are analyzed, assuming a coexistence of self-interstitial supersaturation and vacancy undersaturation. It is found that the growth is driven by vacancies in undersaturation. Vacancy component of self-diffusion has been determined and found to be predominant at low temperature. The possibility of growth model proposed for increase of oxide precipitate density during annealing has been excluded. Both processes, homogeneous and heterogeneous nucleation, have been taking place during annealing.

Morphological Effect on the Intermetallic Compound Layer Growth Kinetics of Metallurgical Joining

2020 ◽  
Vol 307 ◽  
pp. 26-30
Author(s):  
Azman Jalar ◽  
Maria Abu Bakar ◽  
Mohd. Zulhakimi Ab. Razak ◽  
Norliza Ismail
Keyword(s):  
Intermetallic Compound ◽  
Growth Kinetics ◽  
Intermetallic Layer ◽  
Compound Layer ◽  
Effect Of Temperature ◽  
Growth Exponent ◽  
Intermetallic Compound Layer ◽  
Growth Behaviour ◽  
Morphological Effect ◽  
Kinetics Of

Evaluating the growth kinetics is one of the most important characteristic in assessing the quality and reliability of metallurgical joining, especially in electronics packaging such as soldering and wire bonding technology. The growth kinetics is normally assessed using Arrhenius equation that involves diffusion activities due to thermally activated process. The well-known factors of thermal and time together with generally accepted growth exponent have been widely used for this assessment. The intermetallic compound layer which is the by-product of metallurgical reaction during soldering process has been exposed to high temperature to accelerate its growth. The cross-section of the joining was observed using optical microscope to quantify the layer of intermetallic compound. Morphological effect and shape factor of the layer have been analysed in complement with the effect of temperature and time on the growth behaviour. Directional growth and irregularities shape of the intermetallic layer show some inconsistency on the selection of growth exponent. The effect of initial size of intermetallic layer must also be considered in this assessment. This study suggests that the morphological effect must be analysed prior to the selection the growth exponent in assessing growth behaviour and kinetics of intermetallic layer in metallurgical joining.

scholarly journals Effect of temperature on the growth kinetics of Salmonella Enteritidis in cooked ham

2014 ◽  
Vol 58 (1) ◽  
pp. 47-56 ◽  
Author(s):  
Małgorzata Ewa Szczawińska ◽  
Jacek Szczawiński ◽  
Adriana Łobacz
Keyword(s):  
Growth Kinetics ◽  
Salmonella Enteritidis ◽  
Goodness Of Fit ◽  
Effect Of Temperature ◽  
Goodness Of Fit Test ◽  
Bacterial Counts ◽  
Logistic Equations ◽  
Cooked Ham ◽  
Number Of Bacteria ◽  
Microbiological Data

Abstract The aim of the study was to determine a growth rate of Salmonella Enteritidis in cooked ham stored under different temperatures and to compare usefulness of the mathematical models for describing the microbiological data. The samples of cooked pork ham were inoculated with the mixture of three Salmonella Enteritidis strains and stored at 5°C, 10°C, 15°C for 21 d, and at 20°C and 25°C for 5 d. The number of salmonellae was determined at 10 periods of storage at each temperature. From each sample a series of decimal dilutions were prepared and plated onto Brilliant Green Agar. The plates were incubated at 37°C for 24-48 h under aerobic conditions. The colonies grown on culture media were counted, bacterial counts were multiplied by the appropriate dilutions, and number of bacteria (colony-forming units) was calculated. The bacterial counts were transformed into logarithms and analysed using IBM SPSS Statistics 20. The experiment was performed in five replicates. The obtained growth curves of bacteria were fitted to primary growth models, namely Gompertz, logistic, and Baranyi models. The goodness-of-fit test was evaluated by calculating mean square error and Akaike’s criterion. Growth kinetics values from the modified Gompertz and logistic equations were calculated. It was found that in samples of ham stored at 5°C and 10°C for 21 d, the number of bacteria remained almost at the same level during storage. In samples stored at 15°C, 20°C, and 25°C growth of salmonellae was observed. It was found that logistic model gave in most cases the best fit to obtained microbiological data describing the behaviour of S. Enteritidis in cooked ham. The growth kinetics values calculated in this study from logistic equations can be used to predict potential S. Enteritidis growth in cooked ham stored at 15°C, 20°C, and 25°C.

Effect of Native Microflora on the Growth Kinetics of Salmonella Enteritidis Strain 04-137 in Raw Ground Chicken

2011 ◽  
Vol 74 (5) ◽  
pp. 735-742 ◽  
Author(s):  
SAKHA M. ZAHER ◽  
HIROSHI FUJIKAWA
Keyword(s):  
Growth Model ◽  
Growth Kinetics ◽  
Salmonella Enteritidis ◽  
Maximum Cell ◽  
Lag Period ◽  
Low Levels ◽  
Native Microflora ◽  
Kinetics Of ◽  
Total Bacteria ◽  
Different Doses

Effects of native microflora (NM) on growth kinetics of Salmonella Enteritidis strain 04-137 were studied in raw ground chicken. First, samples of ground chicken with high and low levels of NM (107.1 and 104.9 CFU/g, respectively) were spiked with Salmonella at doses ranging from 101 to 104 CFU/g. The growth kinetics, including the rate constant of growth, r, and the lag period, were similar, but the maximum cell level, Nmax, was higher at higher initial Salmonella doses for both NM levels. Second, samples of ground chicken with high and low NM levels (106.8 and 104.7 CFU/g, respectively) were spiked with Salmonella and then stored at various constant temperatures ranging from 8 to 32°C. Both Nmax and r for Salmonella were higher at higher temperatures for both NM levels. Although r for total bacteria, which consisted of NM and Salmonella, was also higher at higher temperatures, Nmax was constant at all temperatures for both NM levels. Further, Salmonella growth was compared among samples of ground chicken with high and low NM levels and samples of sterilized chicken. Salmonella growth, characterized by both Nmax and r, was highest in sterilized chicken, followed by chicken with the low NM level. Our growth model successfully described and analyzed the growth of Salmonella and total bacteria in chicken at constant temperatures; using the data obtained, the model also successfully predicted the growth of Salmonella and total bacteria in chicken stored at dynamic temperatures. Our study clarified the effects that different doses of NM in ground chicken had on the growth kinetics of the Salmonella strain and demonstrated the usability of the growth model for foods with NM.

A predictive growth model of Aeromonas hydrophila on chicken breasts under various storage temperatures

LWT ◽  
2016 ◽  
Vol 69 ◽  
pp. 98-103 ◽  
Author(s):  
Sungdae Yang ◽  
Shin Young Park ◽  
Sang-Do Ha
Keyword(s):  
Growth Model ◽  
Aeromonas Hydrophila ◽  
Storage Temperatures
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