scholarly journals Detection and Distribution of Bacterial Pathogens in Raw Water and During Water Treatment Process by Polymerase Chain Reaction

2007 ◽  
Vol 17 (10) ◽  
pp. 1374-1380 ◽  
Author(s):  
Hong-Ki Park ◽  
Eun-Young Jung ◽  
Jong-Moon Jung ◽  
Pyung-Jong Yu
Keyword(s):  
Polymerase Chain Reaction ◽  
Water Treatment ◽  
Treatment Process ◽  
Bacterial Pathogens ◽  
Raw Water ◽  
Chain Reaction ◽  
Water Treatment Process ◽  
Polymerase Chain

scholarly journals OPTIMIZATION OF THE DRINKING WATER TREATMENT PROCESS OF A SUGAR PLANT STATION IN COTE DIVOIRE

2021 ◽  
Vol 9 (01) ◽  
pp. 512-524
Author(s):  
Konan Lopez Kouame ◽  
◽  
Nogbou Emmanuel Assidjo ◽  
Andre Kone Ariban ◽  
◽  
...  
Keyword(s):  
Drinking Water ◽  
Water Treatment ◽  
Treatment Process ◽  
Polynomial Regression ◽  
Drinking Water Treatment ◽  
Optimal Dose ◽  
Raw Water ◽  
Water Treatment Process ◽  
Jar Test ◽  
Coagulation And Flocculation

This article presents an optimization of the drinking water treatment process at the SUCRIVOIRE treatment station. The objective is to optimize the coagulation and flocculation process (fundamental process of the treatment of said plant)by determining the optimal dosages of the products injected and then proposes a program for calculating the optimal dose of coagulant in order to automatically determine the optimal dose of the latter according to the raw water quality. This contribution has the advantage of saving the user from any calculations the latter simply enters the characteristics of the raw effluent using the physical interface of the program in order to obtain the optimum corresponding coagulant concentration. For the determination of the optimal coagulant doses, we performed Jar-Test flocculation tests in the laboratory over a period of three months. The results made it possible to set up a polynomial regression model of the optimal dose of alumina sulfate as a function of the raw water parameters. A program for calculating the optimal dose of coagulant was carried out on Visual Basic. The optimal doses of coagulant obtained vary from 25, 35, 40 and 45 mg/l depending on the characteristics of the raw effluent. The model obtained is: . Finally, verification tests were carried out using this model on the process. The results obtained meet the WHO drinkability standards for all parameters for a settling time of two hours.

Modeling and Optimization of Poly Electrolyte Dosage in Water Treatment Process by GMDH Type- NN and MOGA

2013 ◽  
Vol 3 (2) ◽  
pp. 94-106 ◽  
Author(s):  
M. Akbarizadeh ◽  
A. Daghbandan ◽  
M. Yaghoobi
Keyword(s):  
Genetic Algorithms ◽  
Water Treatment ◽  
Treatment Process ◽  
Data Sets ◽  
Raw Water ◽  
Multi Objective ◽  
Water Treatment Process ◽  
Coagulant Dosage ◽  
Predicted Values ◽  
Experimental Values

Coagulation-flocculation is the most important parts of water treatment process. Traditionally, optimum pre coagulant dosage is determined by used jar tests in laboratory. However; jar tests are time-consuming, expensive, and less adaptive to changes in raw water quality in real time. Soft computing can be used to overcome these limitations. In this paper, multi-objective evolutionary Pareto optimal design of GMDH Type-Neural Network has been used for modeling and predicting of optimum poly electrolyte dosage in Rasht WTP, Guilan, Iran, using Input - output data sets. In this way, multi-objective uniform-diversity genetic algorithms (MUGA) are then used for Pareto optimization of GMDH networks. In order to achieve this modeling, the experimental data were divided into train and test sections. The predicted values were compared with those of experimental values in order to estimate the performance of the GMDH network. Also, Multi Objective Genetic Algorithms (MOGA) are then used for optimization of influence parameters in pre coagulant (Poly electrolyte) dosage.

scholarly journals Laboratory detection of bacterial pathogens and clinical and laboratory response of syndromic management in patients with cervical discharge: A retrospective study

2021 ◽  
Vol 0 ◽  
pp. 1-5
Author(s):  
Deepika Yadav ◽  
Sanjay Singh ◽  
Benu Dhawan ◽  
Seema Sood ◽  
Somesh Gupta
Keyword(s):  
Polymerase Chain Reaction ◽  
Retrospective Study ◽  
Chlamydia Trachomatis ◽  
Small Sample Size ◽  
Bacterial Pathogens ◽  
Small Sample ◽  
World Health ◽  
Chain Reaction ◽  
Syndromic Management ◽  
Polymerase Chain

Background: Cervical discharge as part of cervicitis and pelvic inflammatory disease is a cause of significant morbidity in sexually active women worldwide. Non-gonococcal and non- chlamydial bacterial pathogens are becoming more prevalent. Aims: This study aims to determine bacterial pathogens causing cervical discharge using culture and/or polymerase chain reaction and assess the clinical and laboratory response to the conventional syndromic kit regimen established by the World Health Organisation. Methods: A retrospective review of records of women with cervical discharge over one year period. Culture and/or polymerase chain reaction results of endocervical swabs of various bacterial pathogens at baseline and after four weeks of treatment with syndromic kit regimen were recorded. Results: A total of 70 case records were reviewed for clinical details, out of which results of bacterial culture and polymerase chain reaction were available for 67 cases. Infectious aetiology was found in 30 (44.7%) patients with Ureaplasma species being the most common organism isolated on culture (18, 26.8%) and polymerase chain reaction (25, 37.3%), respectively. Polymerase chain reaction for Chlamydia trachomatis and Mycoplasma hominis was positive in ten (14.9%) and four (6%) cases, respectively. None of the patients showed positive culture for Neisseria gonorrhoeae. Coinfection was seen in eight (11.9%) patients with the majority showing Chlamydia trachomatis and Ureaplasma spp. coinfection (five patients). Forty one cases (58.5%) received tab. cefixime 400 mg and tab. azithromycin one gram stat (kit 1), while 29 cases (43.3%) received tab. cefixime 400 mg stat, tab. metronidazole 400 mg and cap. doxycycline 100 mg, both twice daily for 14 days (kit 6). Minimal to no clinical improvement with treatment was seen in 14 out of 32 cases (44%) at the end of four weeks with the conventional kit regimen. Post-treatment culture and/or polymerase chain reaction were positive in nine out of 28 cases (32.1%) with Ureaplasma spp. being the most common. Limitations: Retrospective study design, small sample size and fewer cases with follow-up data were the main limitations. Conclusion: Ureaplasma spp. was the most common infectious cause of cervical discharge in our patients. Treatment given as part of syndromic management led to a clinical and microbiological response in around half and two-third cases, respectively.

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