scholarly journals Continuous Nucleation and Size Dependent Growth Kinetics of Indium Phosphide Nanocrystals

2020 ◽  
Vol 32 (10) ◽  
pp. 4358-4368 ◽  
Author(s):  
Brandon M. McMurtry ◽  
Kevin Qian ◽  
Joseph K. Teglasi ◽  
Anindya K. Swarnakar ◽  
Jonathan De Roo ◽  
...  
2008 ◽  
Vol 10 (1) ◽  
pp. 60-65 ◽  
Author(s):  
Bogusława Wierzbowska ◽  
Krzysztof Piotrowski ◽  
Joanna Koralewska ◽  
Andrzej Matynia

Size-dependent growth kinetics of vitamin C crystals in water solutions of L(+)-ascorbic acid with the addition of methanol and ethanol Growth kinetics of vitamin C crystals during the batch mass crystallization process in L(+)-ascorbic acid - methanol - ethanol - water system was determined. The linear growth rate values were estimated on the basis of the product crystal size distributions. The kinetic model of the continuous process in a MSMPR crystallizer was adopted for the batch mode description according to Nyvlt's conception, taking the sizedependent growth (SDG) rate effects into consideration. The kinetic parameter values were determined with a Rojkowski hyperbolic SDG model. A good compatibility between the experimental product crystal population density distributions and the SDG model predictions was observed. The interpretation of the kinetic data was presented and discussed.


Carbon ◽  
2018 ◽  
Vol 133 ◽  
pp. 283-292 ◽  
Author(s):  
Marianna V. Kharlamova ◽  
Christian Kramberger ◽  
Yuta Sato ◽  
Takeshi Saito ◽  
Kazu Suenaga ◽  
...  

2012 ◽  
Vol 13 (1) ◽  
pp. 219-223 ◽  
Author(s):  
Xianglong Yu ◽  
Zhengyi Jiang ◽  
Dongbin Wei ◽  
Xiaodong Wang ◽  
Quan Yang

CrystEngComm ◽  
2020 ◽  
Vol 22 (26) ◽  
pp. 4478-4488
Author(s):  
Ivaylo L. Dimitrov

Combined diffusion- and interface-controlled crystal growth analysis elucidates the temperature-dependent growth kinetics of protein crystals at a relatively small variation of supersaturation.


2017 ◽  
Vol 83 (8) ◽  
Author(s):  
Yehonatan Sharaby ◽  
Sarah Rodríguez-Martínez ◽  
Olga Oks ◽  
Marina Pecellin ◽  
Hila Mizrahi ◽  
...  

ABSTRACT Legionella pneumophila causes waterborne infections resulting in severe pneumonia. High-resolution genotyping of L. pneumophila isolates can be achieved by multiple-locus variable-number tandem-repeat analysis (MLVA). Recently, we found that different MLVA genotypes of L. pneumophila dominated different sites in a small drinking-water network, with a genotype-related temperature and abundance regime. The present study focuses on understanding the temperature-dependent growth kinetics of the genotypes that dominated the water network. Our aim was to model mathematically the influence of temperature on the growth kinetics of different environmental and clinical L. pneumophila genotypes and to compare it with the influence of their ecological niches. Environmental strains showed a distinct temperature preference, with significant differences among the growth kinetics of the three studied genotypes (Gt4, Gt6, and Gt15). Gt4 strains exhibited superior growth at lower temperatures (25 and 30°C), while Gt15 strains appeared to be best adapted to relatively higher temperatures (42 and 45°C). The temperature-dependent growth traits of the environmental genotypes were consistent with their distribution and temperature preferences in the water network. Clinical isolates exhibited significantly higher growth rates and reached higher maximal cell densities at 37°C and 42°C than the environmental strains. Further research on the growth preferences of L. pneumophila clinical and environmental genotypes will result in a better understanding of their ecological niches in drinking-water systems as well as in the human body. IMPORTANCE Legionella pneumophila is a waterborne pathogen that threatens humans in developed countries. The bacteria inhabit natural and man-made freshwater environments. Here we demonstrate that different environmental L. pneumophila genotypes have different temperature-dependent growth kinetics. Moreover, Legionella strains that belong to the same species but were isolated from environmental and clinical sources possess adaptations for growth at different temperatures. These growth preferences may influence the bacterial colonization at specific ecological niches within the drinking-water network. Adaptations for growth at human body temperatures may facilitate the abilities of some L. pneumophila strains to infect and cause illness in humans. Our findings may be used as a tool to improve Legionella monitoring in drinking-water networks. Risk assessment models for predicting the risk of legionellosis should take into account not only Legionella concentrations but also the temperature-dependent growth kinetics of the isolates.


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