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Statistical Design based on Response Surface Methodology to Optimize the Production of a Yellow Pigment by Streptomyces thinghirensis AF7
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Although its wide utilization in microbial cultures, the one factor-at-a-time method, failed to find the true optimum, this is due to the interaction between optimized parameters which is not taken into account. Therefore, in order to find the true optimum conditions, it is necessary to repeat the one factor-at-a-time method in many sequential experimental runs, which is extremely time-consuming and expensive for many variables. This work is an attempt to enhance bioactive yellow pigment production by Streptomyces thinghirensis based on a statistical design. The yellow pigment demonstrated inhibitory effects against Escherichia coli and Staphylococcus aureus and was characterized by UV-vis spectroscopy which showed lambda maximum of 449. The FTIR and GC-MS analysis showed that the colorings in this type of product are due to the presence of chromo peptides. Furthermore, the GC-MS measurement determined the presence of 4 compounds, as it gave 4 different retention times within this yellow pigment, but with different percentages, except for the compound BHT when the retention time was 17.86 minutes. Starch casein broth (SCB) was selected as an optimized medium for yellow pigment production. The optimization process was first started with one factor at time method, revealing that maltose and casein were the best carbon and nitrogen sources. Response surface methodology based on central composite design was conducted to obtain the optimal combinations of maltose and casein concentrations, pH, and inoculum size for maximum production of yellow pigment. The results showed that casein was the most effective parameter with F-value 393.1 and the model exhibited good fitting with a correlation coefficient of 0.946. Moreover, the actual maximum yellow pigment product 0.80 nm which aggregated with a predicted value 0.835 nm at maltose concentration 8 g/L, casein 5 g/L, KNO3 0.01 g/L, pH 6 and inoculum size 5%.

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Publication Date
Thu Aug 01 2024
Journal Name
Water Practice & Technology
Artificial neural network and response surface methodology for modeling oil content in produced water from an Iraqi oil field
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ABSTRACT<p>The majority of the environmental outputs from gas refineries are oily wastewater. This research reveals a novel combination of response surface methodology and artificial neural network to optimize and model oil content concentration in the oily wastewater. Response surface methodology based on central composite design shows a highly significant linear model with P value &lt;0.0001 and determination coefficient R2 equal to 0.747, R adjusted was 0.706, and R predicted 0.643. In addition from analysis of variance flow highly effective parameters from other and optimization results verification revealed minimum oily content with 8.5 ± 0.7 ppm when initial oil content 991 ppm, tempe</p> ... Show More
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Publication Date
Thu Mar 30 2023
Journal Name
Journal Of Economics And Administrative Sciences
An Artificial Intelligence Algorithm to Optimize the Classification of the Hepatitis Type
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Hepatitis is one of the diseases that has become more developed in recent years in terms of the high number of infections. Hepatitis causes inflammation that destroys liver cells, and it occurs as a result of viruses, bacteria, blood transfusions, and others. There are five types of hepatitis viruses, which are (A, B, C, D, E) according to their severity. The disease varies by type. Accurate and early diagnosis is the best way to prevent disease, as it allows infected people to take preventive steps so that they do not transmit the difference to other people, and diagnosis using artificial intelligence gives an accurate and rapid diagnostic result. Where the analytical method of the data relied on the radial basis network to diagnose the

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Publication Date
Thu Jul 27 2023
Journal Name
Journal Of Design And Textiles
Defining the Design Process: Methodology and Creation
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The current study is unique in its emphasis on investigating design operation and concept from multiple scientific perspectives: including invention, technique, and design components. This research tends to study the methodology and creation of design process in a holistic manner so that the readers may grasp their characteristics and properties down to its minute epistemological detail. The investigation of the design concept is where the real groundwork and pressing need for the study begin. Creation and methodology are two primary concepts in relation to design these relationships can be formed in any design because of the various forces that act upon it. The primordial objective of this study is to evaluate the relationship betw

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Publication Date
Mon Jan 01 2024
Journal Name
Optical Materials
Design and analysis of a high sensitivity open microchannel PCF-based surface plasmon resonance refractometric sensor
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Publication Date
Sun Jan 01 2023
Journal Name
Process Safety And Environmental Protection
Applications of advanced oxidation processes (Electro‑Fenton and sono‑electro‑Fenton) for COD removal from hospital wastewater: Optimization using response surface methodology
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Publication Date
Sat Mar 30 2002
Journal Name
Iraqi Journal Of Chemical And Petroleum Engineering
The Determination of the Variables of High Response on the Anodizing of Aluminum-Magnesium Alloy 5052 (Statistical analysis)
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Publication Date
Tue Dec 14 2010
Journal Name
Applied Microbiology And Biotechnology
Elicitation of Streptomyces coelicolor with dead cells of Bacillus subtilis and Staphylococcus aureus in a bioreactor increases production of undecylprodigiosin
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Publication Date
Thu Oct 01 2020
Journal Name
Engineering Science And Technology, An International Journal
Thermal performance improvement based on the hybrid design of a heat sink
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Publication Date
Wed Feb 22 2023
Journal Name
Iraqi Journal Of Agricultural Sciences
RESPONSE SEEDS PRODUCTION OF BROAD BEAN TO FOLIAR SPRAY WITH MAGNESIUM AND BORON
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Publication Date
Fri Dec 03 2021
Journal Name
2021 4th International Conference On Advanced Communication Technologies And Networking (commnet)
Methodology for Predicting the Optimum Design of Radio-Electronic Devices
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