Effect of herbicide used with years (8 + 1) on soil enzymic activity and microbial population diversity

2017 ◽  
Vol 17 (10) ◽  
pp. 2490-2499 ◽  
Author(s):  
Yumei Jiang ◽  
Di Lin ◽  
Xianjiao Guan ◽  
Jinfeng Wang ◽  
Guangpan Cao ◽  
...  
Keyword(s):  
Microbial Population ◽  
Enzymic Activity ◽  
Population Diversity

scholarly journals The Physiological and Microbiological Characteristics of Cement Dust Polluted Soil Around Cement Industry

2021 ◽  
Author(s):  
Kehinde Oluwadamilare Sowunmi
Keyword(s):  
Heavy Metals ◽  
Microbial Population ◽  
Nutrient Status ◽  
Polluted Soil ◽  
Population Diversity ◽  
Cement Industry ◽  
Dust Deposition ◽  
Cement Dust ◽  
Bacteria And Fungi ◽  
The Impact

Abstract A study investigated impact of cement dust pollution from Ewekoro cement industry on soil microbes. pH of the soil ranged from 6.27±0.03- 6.47 and soil moisture content ranged from 15.78±2.52- 9.65±1.16. The levels of heavy metals except Mg, Zn and Na were higher within the factory than in the control. Microbial population diversity increased steadily away from the factory and this variation could be attributed to the impact of pH and heavy metals on microbial population. The lower counts of bacteria compared to fungi may be as a result of the nutrient status of the soil and the bacteria counts in polluted soil were lower than the fungal counts in control soil. The bacteria and fungi was influenced by the cement dust deposition. The study was published in the journal ‘Phenomenon: Microbes and the Cement Industry’.

scholarly journals Microbial Population Diversity in the Urethras of Healthy Males and Males Suffering from Nonchlamydial, Nongonococcal Urethritis

2003 ◽  
Vol 41 (5) ◽  
pp. 1977-1986 ◽  
Author(s):  
W. A. Riemersma ◽  
C. J. C. van der Schee ◽  
W. I. van der Meijden ◽  
H. A. Verbrugh ◽  
A. van Belkum
Keyword(s):  
Microbial Population ◽  
Population Diversity ◽  
Nongonococcal Urethritis ◽  
Healthy Males

scholarly journals Microbiology and Heavy Metal Content of Wetlands Impacted by Crude Oil Pollution in Rivers State, Southern Nigeria

2021 ◽  
pp. 53-63
Author(s):  
Mebom Princess Chibuike ◽  
N. David Ogbonna ◽  
Williams Janet Olufunmilayo
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Concentration ◽  
Microbial Population ◽  
Soil Depth ◽  
Heavy Metal Concentration ◽  
Soil Samples ◽  
Population Diversity ◽  
Wetland Soil ◽  
Subsurface Soil

Wetland soils constitute vast, under-exploited and sometimes undiscovered ecologies in many countries of the World, including Nigeria. A total of 54 wetland soil samples including surface and subsurface soil at depths of 0-15 cm and 15-30 cm were collected using a sterile hand auger for a period of three months between August and October and subjected to standard and analytical microbiological procedures. The wetland soil samples were further subjected to atomic absorption spectroscopy (AAS) to check for presence and concentration of heavy metals. Results obtained showed that apart from heterotrophic bacterial and fungal counts, hydrocarbon utilizing bacteria (HUB) counts were higher in the surface soil ranging from 12.06±3.43bX107 cfu/g at Iwofe to 6.19±2.67aX107 cfu/g at Chokocho while subsurface soil had HUB ranging from 8.91±6.67aX103 cfu/g at Eagle Island to 4.93±3.95aX103cfu/g at Chokocho. Heavy metals such as Fe, Pb, Cd and Ni were recorded in concentrations above FEPA permissible limit in the surface and subsurface soil across the three wetlands. The heavy metal concentration in each wetland however, decreased with an increase in soil depth. According to literatures, elevated levels of heavy metals in soils decrease microbial population, diversity and activities. However, the microbial population in this study increased with increasing heavy metal concentration which indicates that the microbes can tolerate or utilize heavy metals in their systems; as such can be used for bioremediation of heavy metal polluted soils. 

Binding of Tissue Plasminogen Activator to Vascular Grafts

1989 ◽  
Vol 61 (01) ◽  
pp. 131-136 ◽  
Author(s):  
Richard A Harvey ◽  
Hugh C Kim ◽  
Jonathan Pincus ◽  
Stanley Z Trooskin ◽  
Josiah N Wilcox ◽  
...  
Keyword(s):  
Plasminogen Activator ◽  
Tissue Plasminogen Activator ◽  
Fibrinolytic Activity ◽  
Polymer Surface ◽  
Enzymic Activity ◽  
Vascular Prostheses ◽  
Chemically Modified ◽  
Insoluble Surfactant ◽  
Tissue Plasminogen

SummaryTissue plasminogen activator labeled with radioactive iodine (125I-tPA) was immobilized on vascular prostheses chemically modified with a thin coating of water-insoluble surfactant, tridodecylmethylammonium chloride (TDM AC). Surfactant- treated Dacron, polytetrafluoroethylene (PTFE), silastic, polyethylene and polyurethane bound appreciable amounts of 125I- tPA (5-30 μg 125I-tPA/cm2). Upon exposure to human plasma, the amount of 125I-tPA bound to the surface shows an initial drop during the first hour of incubation, followed by a slower, roughly exponential release with a t½ of appoximately 75 hours. Prostheses containing bound tPA show fibrinolytic activity as measured both by lysis of clots formed in vitro, and by hydrolysis of a synthetic polypeptide substrate. Prior to incubation in plasma, tPA bound to a polymer surface has an enzymic activity similar, if not identical to that of the native enzyme in buffered solution. However, exposure to plasma causes a decrease in the fibrinolytic activity of both bound tPA and enzyme released from the surface of the polymer. These data demonstrate that surfactant-treated prostheses can bind tPA, and that these chemically modified devices can act as a slow-release drug delivery system with the potential for reducing prosthesis-induced thromboembolism.

Genetic Population Diversity of Aedes caspius in Southern Provinces of Iran

2018 ◽  
Vol 111 (1) ◽  
pp. 31-37 ◽  
Author(s):  
S DOOSTI ◽  
MR YAGHOOBI-ERSHADI ◽  
MM SEDAGHAT ◽  
SH MOOSA-KAZEMI ◽  
K AKBARZADEH ◽  
...  
Keyword(s):  
Population Diversity ◽  
Genetic Population ◽  
Aedes Caspius

AO-BBO: A Novel Optimization Algorithm and Its Application in Plant Drug Extraction

2019 ◽  
Vol 19 (2) ◽  
pp. 139-145 ◽  
Author(s):  
Bote Lv ◽  
Juan Chen ◽  
Boyan Liu ◽  
Cuiying Dong
Keyword(s):  
Optimization Algorithm ◽  
Learning Strategy ◽  
Optimal Solution ◽  
Population Diversity ◽  
Global Optimal Solution ◽  
Plant Medicine ◽  
Suitability Index ◽  
Sensing Model ◽  
Local Optimal Solution ◽  
Global Optimal

<P>Introduction: It is well-known that the biogeography-based optimization (BBO) algorithm lacks searching power in some circumstances. </P><P> Material & Methods: In order to address this issue, an adaptive opposition-based biogeography-based optimization algorithm (AO-BBO) is proposed. Based on the BBO algorithm and opposite learning strategy, this algorithm chooses different opposite learning probabilities for each individual according to the habitat suitability index (HSI), so as to avoid elite individuals from returning to local optimal solution. Meanwhile, the proposed method is tested in 9 benchmark functions respectively. </P><P> Result: The results show that the improved AO-BBO algorithm can improve the population diversity better and enhance the search ability of the global optimal solution. The global exploration capability, convergence rate and convergence accuracy have been significantly improved. Eventually, the algorithm is applied to the parameter optimization of soft-sensing model in plant medicine extraction rate. Conclusion: The simulation results show that the model obtained by this method has higher prediction accuracy and generalization ability.</P>

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