scholarly journals OPTIMIZATION OF PHARMACEUTICAL WASTEWATER TREATMENT BY BIOSORPTION USING GENETIC ALGORITHM

2021 ◽  
Vol 6 (2) ◽  
pp. 31-38
Author(s):  
Ola Belal Hasan Abdallah ◽  
Priy Brat Dwivedi
Keyword(s):  
Genetic Algorithm ◽  
Wastewater Treatment ◽  
Model Equation ◽  
Diclofenac Sodium ◽  
Pharmaceutical Wastewater ◽  
Design Expert ◽  
Pharmaceutical Industries ◽  
Percentage Removal ◽  
Optimized Conditions

Purpose of the study: Optimizing the process of pharmaceutical wastewater treatment by biosorption using a genetic algorithm. Methodology: The main steps followed were, determination of the wavelength at maximum absorbance (λmax), drawing the calibration curve between the absorbance and the concentration of diclofenac sodium, designing the experiment using Design-Expert software, finding the percentage removal of diclofenac sodium for each run, obtaining the model equation of the analysis, finding the optimized condition using genetic algorithm in MATLAB software, running the experiment at the optimized conditions and analyzing the results. Main Findings: The technique used in the optimizing process was effective, in which the percentage removal was obtained as 8.73% at the optimized conditions. It was equivalent to 3.43 mg removal / g of activated carbon. Applications of this study: This technique can be applied in different industries especially the chemical and pharmaceutical industries. Novelty/Originality of this study: Using genetic algorithm in order to find the optimized condition of removing diclofenac sodium based on a set of data.

scholarly journals Potency Determination of Essential Drug Samples Manufactured By Medium and Small Pharmaceutical Industries in Bangladesh

2018 ◽  
Vol 43 (2) ◽  
pp. 87-93
Author(s):  
ABM Faruque ◽  
Homaira Fatema Ononna ◽  
ASM Monjur Al Hossain ◽  
Amlan Ganguly
Keyword(s):  
Public Health ◽  
Drug Administration ◽  
Diclofenac Sodium ◽  
Local Market ◽  
Essential Drug ◽  
Rural People ◽  
Essential Drugs ◽  
Controlling Mechanism ◽  
Pharmaceutical Industries

Drugs are considered highly essential and sensitive items for saving lives. Pharmaceutical sector in Bangladesh has grown from strength to strength over the last 40 years and evolved from an import dependent to self-reliant, export oriented sector. But counterfeit, adulterated and sub-standard drugs, though small in percentage, still remain to be a threat in the local market. The purpose of this study is to determine potency of some essential drugs, which are used vigorously by sub-urban and rural people and manufactured by randomly selected small and medium pharmaceutical industries of Bangladesh. The study revealed that the measured potency of different essential drugs manufactured by randomly selected small pharmaceutical industries is mostly unsatisfactory. Here, it has been found that most of the drug samples did not match with the acceptance level: the potency of Amoxicillin tryhydrate capsule has been found 8.25%, 47.9%, 51.1% 19.06%, 57.06% from five different pharmaceutical industries and for Diclofenac Sodium is 44.9%, 26.8%, 27.2%, 29.9%, 19.4%, 62.12%, 15.9% and 60.76% from eight different industries. So, the Drug Administration should have a strict monitoring and controlling mechanism to the distribution of those drugs, otherwise the overall public health of the country will be at stake.

FIDDLE. Simultaneous Indexing and Structure Solution from Powder Diffraction Data using a Genetic Algorithm and Correlation Functions

2019 ◽  
Author(s):  
Carmen Guguta ◽  
Jan M.M. Smits ◽  
Rene de Gelder
Keyword(s):  
Genetic Algorithm ◽  
Powder Diffraction ◽  
Diffraction Data ◽  
Correlation Functions ◽  
Cross Correlation ◽  
Simultaneous Optimization ◽  
Powder Diffraction Data ◽  
Structure Solution ◽  
Matching Technique

A method for the determination of crystal structures from powder diffraction data is presented that circumvents the difficulties associated with separate indexing. For the simultaneous optimization of the parameters that describe a crystal structure a genetic algorithm is used together with a pattern matching technique based on auto and cross correlation functions.<br>

VOC Fate Model Verification at Multiple Pulp Mill Wastewater Treatment Sites

1992 ◽  
Vol 26 (1-2) ◽  
pp. 407-415 ◽  
Author(s):  
D. A. Barton ◽  
J. J. McKeown ◽  
W. Chudyk
Keyword(s):  
Wastewater Treatment ◽  
Paper Industry ◽  
Pulp Mill ◽  
Pulp And Paper Industry ◽  
Model Verification ◽  
Initial Model ◽  
Gas Sampling ◽  
Treatment Processes ◽  
Fate Model

A model of organic compound removal by biological wastewater treatment processes receiving pulp and paper industry wastewaters has been developed and initial model verification performed at a single mill site. This paper presents the results of further model verification conducted at multiple mill sites, including replication of the original site. In addition, VOC losses at other unit processes are quantified. Activated sludge basin chloroform volatilization rates are predicted to within twelve percent of the measured rates. Predicted overall methanol removals are consistent with observed removals although difficulties encountered during off-gas sampling preclude determination of the extent of removal due to volatilization.

Rapid determination of fractal structure of bacterial assemblages in wastewater treatment: implications to process optimisation

1998 ◽  
Vol 38 (2) ◽  
pp. 9-15 ◽  
Author(s):  
J. Guan ◽  
T. D. Waite ◽  
R. Amal ◽  
H. Bustamante ◽  
R. Wukasch
Keyword(s):  
Wastewater Treatment ◽  
Fractal Structure ◽  
Structural Information ◽  
Rapid Determination ◽  
Fractal Dimensions ◽  
Structure Information ◽  
Treatment Processes ◽  
On Line ◽  
Bacterial Aggregates

A rapid method of determining the structure of aggregated particles using small angle laser light scattering is applied here to assemblages of bacteria from wastewater treatment systems. The structure information so obtained is suggestive of fractal behaviour as found by other methods. Strong dependencies are shown to exist between the fractal structure of the bacterial aggregates and the behaviour of the biosolids in zone settling and dewatering by both pressure filtration and centrifugation methods. More rapid settling and significantly higher solids contents are achievable for “looser” flocs characterised by lower fractal dimensions. The rapidity of determination of structural information and the strong dependencies of the effectiveness of a number of wastewater treatment processes on aggregate structure suggests that this method may be particularly useful as an on-line control tool.

scholarly journals Full spectrum and genetic algorithm-selected spectrum-based chemometric methods for simultaneous determination of azilsartan medoxomil, chlorthalidone, and azilsartan: Development, validation, and application on commercial dosage form

2021 ◽  
Vol 19 (1) ◽  
pp. 205-213
Author(s):  
Hany W. Darwish ◽  
Abdulrahman A. Al Majed ◽  
Ibrahim A. Al-Suwaidan ◽  
Ibrahim A. Darwish ◽  
Ahmed H. Bakheit ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Simultaneous Determination ◽  
Predictive Power ◽  
Principal Component Regression ◽  
Selection Procedure ◽  
Principal Component ◽  
Chemometric Methods ◽  
Full Spectrum ◽  
Azilsartan Medoxomil

Abstract Five various chemometric methods were established for the simultaneous determination of azilsartan medoxomil (AZM) and chlorthalidone in the presence of azilsartan which is the core impurity of AZM. The full spectrum-based chemometric techniques, namely partial least squares (PLS), principal component regression, and artificial neural networks (ANN), were among the applied methods. Besides, the ANN and PLS were the other two methods that were extended by genetic algorithm procedure (GA-PLS and GA-ANN) as a wavelength selection procedure. The models were developed by applying a multilevel multifactor experimental design. The predictive power of the suggested models was evaluated through a validation set containing nine mixtures with different ratios of the three analytes. For the analysis of Edarbyclor® tablets, all the proposed procedures were applied and the best results were achieved in the case of ANN, GA-ANN, and GA-PLS methods. The findings of the three methods were revealed as the quantitative tool for the analysis of the three components without any intrusion from the co-formulated excipient and without prior separation procedures. Moreover, the GA impact on strengthening the predictive power of ANN- and PLS-based models was also highlighted.

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