An improved method for disruption of microbial cells with pressurized carbon dioxide

1992 ◽  
Vol 8 (2) ◽  
pp. 165-166 ◽  
Author(s):  
Ho Mu Lin ◽  
Zhiying Yang ◽  
Li Fu Chen
Keyword(s):  
Carbon Dioxide ◽  
Improved Method ◽  
Microbial Cells

Disruption of Microbial Cells by the Flash Discharge of High-pressure Carbon Dioxide

1994 ◽  
Vol 58 (7) ◽  
pp. 1297-1301 ◽  
Author(s):  
Kozo Nakamura ◽  
Atsushi Enomoto ◽  
Hideo Fukushima ◽  
Kiyotaka Nagai ◽  
Masaru Hakoda
Keyword(s):  
Carbon Dioxide ◽  
High Pressure ◽  
Microbial Cells

Study on Enhanced Oil Recovery Using Microorganism Generating Foam in Presence of Nanobubbles

2021 ◽  
Author(s):  
Miu Ito ◽  
Yuichi Sugai
Keyword(s):  
Carbon Dioxide ◽  
Protein Concentration ◽  
Culture Medium ◽  
Tap Water ◽  
Culture Solution ◽  
Oil Reservoir ◽  
Ferrous Ions ◽  
Microbial Cells ◽  
Foam Generation ◽  
Positively Charged

Abstract Both high cost and environmental load of surfactant are issues to be solved in foam EOR. Moreover, it is difficult to control the injection of surfactant and gas so that the foam is generated in only high permeable zones selectively in oil reservoir. The authors have found a foam generating microorganism and hit upon an idea of the microbial foam EOR which makes the microorganism do generating foam in oil reservoir. The mechanism of the microbial foam generation and culture condition suitable for the foam generation were studied in this study. A species of Pseudomonas aeruginosa was used as a foam producer in this study. It was cultured in the medium consisting of glucose and eight kinds of minerals at 30 °C and atmospheric pressure under anaerobic conditions. Because P. aeruginosa generally grows better under aerobic conditions, the microorganism was supplied with oxygen nanobubbles as the oxygen source. The carbon dioxide nanobubbles were also used as a comparison target in this study. The state of foam generation in the culture solution was observed during the cultivation. The surface tension, surfactant concentration, protein concentration, polysaccharides concentration and bacterial population of the culture solution were measured respectively. The foam was started to be generated by the microorganism after 2 days of cultivation and its volume became maximum after 3 days of cultivation. The foam generation was found in the culture solution which contained both oxygen nanobubbles and carbon dioxide nanobubbles whereas little foam was found in non-nanobubbles culture solution. The foam generation found in the culture solution containing carbon dioxide nanobubbles was more than that in the culture solution containing oxygen nanobubbles. Both gas and protein concentration increased along with the formation of the foam whereas surfactant and polysaccharides were not increased, therefore, the foam was assumed to be generated with gas and protein which were generated by P. aeruginosa. It was found that the carbon dioxide nanobubbles were positively charged in the culture medium whereas they were negatively charged in tap water through the measurement of zeta potential of nanobubbles, therefore, the carbon dioxide nanobubbles attracted cations in the culture medium and became positively charged. Positively charged carbon dioxide nanobubbles transported cations to the microbial cells of P. aeruginosa. Among cations in the culture medium, ferrous ions are essential for the protein generation of P. aeruginosa, therefore, the positively charged carbon dioxide nanobubbles attracted ferrous ions and transport them to the microbial cells, resulting the growth and metabolism of P. aeruginosa were activated. Those results suggest that the microbial foam EOR can be materialized by supplying the microorganism with carbon dioxide nanobubbles or ferrous ions.

An improved method for the entrapment of microbial cells into a thermogel

1992 ◽  
Vol 6 (3) ◽  
pp. 261-264
Author(s):  
A. Egresi ◽  
Cs. Sisak ◽  
I. Harsányi ◽  
B. Szajáni
Keyword(s):  
Improved Method ◽  
Microbial Cells

Improved method to detect trace amounts of gases in a carbon dioxide atmosphere

1994 ◽  
Vol 20 (4) ◽  
pp. 265-271 ◽  
Author(s):  
Vincent Vandepitte ◽  
Frans Houwen ◽  
Willy Verstraete
Keyword(s):  
Carbon Dioxide ◽  
Improved Method ◽  
Carbon Dioxide Atmosphere

scholarly journals Synergistic Effect of Ultrasound Cavitation and Gas in the Water Disinfection

2021 ◽  
Vol 15 (4) ◽  
pp. 575-582
Author(s):  
Iryna Koval ◽  
Keyword(s):  
Carbon Dioxide ◽  
Synergistic Effect ◽  
Water Purification ◽  
Water Disinfection ◽  
Simultaneous Action ◽  
Short Term ◽  
Microbial Cells ◽  
Order Of Magnitude ◽  
Combined Action ◽  
Cavitation Action

The paper considers water purification processes from Bacillus bacteria type under the conditions of gases bubbling only (argon, helium, oxygen, and carbon dioxide), cavitation and combined action of gas and cavitation. The synergistic effect was found under conditions of simultaneous action of gas and cavitation (kd(gas/US ) >kd(gas) + kd(US) almost double) and it was shown that kd(gas/US) >kd(gas) by almost an order of magnitude. Relative series of effective destruction of microbial cells was established: Ar/US > О2/US >Не/US > СО2/US. Destruction degree of the cells reaches 70 %at the short-term Ar/US exposure (~8 min), which is 7 times more active than cavitation action and 13.5 times more than bubbling of Aralone.

An approach to carbon emissions prediction using generalized regression neural network improved by genetic algorithm

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Zhida Guo ◽  
Jingyuan Fu
Keyword(s):  
Neural Network ◽  
Carbon Dioxide ◽  
Genetic Algorithm ◽  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Total Carbon ◽  
Generalized Regression Neural Network ◽  
Improved Method ◽  
Target Values ◽  
Generalized Regression

The study on scientific analysis and prediction of China’s future carbon emissions is conducive to balancing the relationship between economic development and carbon emissions in the new era, and actively responding to climate change policy. Through the analysis of the application of the generalized regression neural network (GRNN) in prediction, this paper improved the prediction method of GRNN. Genetic algorithm (GA) was adopted to search the optimal smooth factor as the only factor of GRNN, which was then used for prediction in GRNN. During the prediction of carbon dioxide emissions using the improved method, the increments of data were taken into account. The target values were obtained after the calculation of the predicted results. Finally, compared with the results of GRNN, the improved method realized higher prediction accuracy. It thus offers a new way of predicting total carbon dioxide emissions, and the prediction results can provide macroscopic guidance and decision-making reference for China’s environmental protection and trading of carbon emissions.

Determination of Zinc Phosphide and Its Stability in Rodent Baits

1969 ◽  
Vol 52 (3) ◽  
pp. 662-666
Author(s):  
G O Guerrant ◽  
J W Miles
Keyword(s):  
Carbon Dioxide ◽  
Hydrochloric Acid ◽  
Zinc Phosphide ◽  
Rodent Control ◽  
Improved Method ◽  
Carbon Dioxide Atmosphere ◽  
Subsequent Determination

Abstract An improved method for determining zinc phosphide has been developed that employs liberation of phosphine by refluxing with hydrochloric acid with subsequent determination by the alkalimetric quimociac phosphorus method. Zinc phosphide was found to he relatively stable when used on apple and potato baits for rodent control, with over 70% of the activity remaining after 99-day exposure under simulated baiting conditions. Decomposition occurs more rapidly in the juices of the moist surface of freshly prepared bait than on the dried baits. Decomposition is slow in a carbon dioxide atmosphere and is accelerated by moisture.

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