Response surface methodology as a tool for modeling and optimization of Bacillus subtilis spores inactivation by UV/ nano-Fe 0 process for safe water production

Food and Chemical Toxicology ◽

10.1016/j.fct.2018.02.045 ◽

2018 ◽

Vol 114 ◽

pp. 334-345 ◽

Cited By ~ 14

Author(s):

Samira Yousefzadeh ◽

Atiyeh Rajabi Matin ◽

Ehsan Ahmadi ◽

Zahra Sabeti ◽

Mahmood Alimohammadi ◽

...

Keyword(s):

Response Surface Methodology ◽

Bacillus Subtilis ◽

Response Surface ◽

Water Production ◽

Modeling And Optimization ◽

Safe Water

Download Full-text

A comparative study of the disinfection efficacy of H2O2/ferrate and UV/H2O2/ferrate processes on inactivation of Bacillus subtilis spores by response surface methodology for modeling and optimization

Food and Chemical Toxicology ◽

10.1016/j.fct.2018.04.002 ◽

2018 ◽

Vol 116 ◽

pp. 129-137 ◽

Cited By ~ 11

Author(s):

Atiyeh Rajabi Matin ◽

Samira Yousefzadeh ◽

Ehsan Ahmadi ◽

Amirhossein Mahvi ◽

Mahmood Alimohammadi ◽

...

Keyword(s):

Response Surface Methodology ◽

Bacillus Subtilis ◽

Comparative Study ◽

Response Surface ◽

Modeling And Optimization

Download Full-text

Modeling and optimization of fermentation variables for enhanced production of lactase by isolated Bacillus subtilis strain VUVD001 using artificial neural networking and response surface methodology

3 Biotech ◽

10.1007/s13205-017-0802-x ◽

2017 ◽

Vol 7 (3) ◽

Cited By ~ 2

Author(s):

T. C. Venkateswarulu ◽

K. Vidya Prabhakar ◽

R. Bharath Kumar ◽

S. Krupanidhi

Keyword(s):

Response Surface Methodology ◽

Bacillus Subtilis ◽

Response Surface ◽

Subtilis Strain ◽

Modeling And Optimization ◽

Enhanced Production ◽

Artificial Neural Networking ◽

Artificial Neural ◽

Optimization Of Fermentation

Download Full-text

Modeling and optimization of pectin extraction from banana peel using artificial neural networks (ANNs) and response surface methodology (RSM)

Journal of Food Measurement & Characterization ◽

10.1007/s11694-021-00852-7 ◽

2021 ◽

Author(s):

Ermias Girma Aklilu

Keyword(s):

Neural Networks ◽

Response Surface Methodology ◽

Artificial Neural Networks ◽

Response Surface ◽

Banana Peel ◽

Modeling And Optimization ◽

Artificial Neural

Download Full-text

Modeling and optimization of mixing parameters using response surface methodology and characterization of palm oil clinker fine modified bitumen

Construction and Building Materials ◽

10.1016/j.conbuildmat.2021.123849 ◽

2021 ◽

Vol 298 ◽

pp. 123849

Author(s):

Nura Shehu Aliyu Yaro ◽

Madzlan Bin Napiah ◽

Muslich Hartadi Sutanto ◽

Aliyu Usman ◽

Saeed Modibbo Saeed

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Palm Oil ◽

Modified Bitumen ◽

Modeling And Optimization ◽

Mixing Parameters

Download Full-text

Modeling and optimization of stability aspects for water diesel emulsified fuel using response surface methodology

Energy Sources Part A Recovery Utilization and Environmental Effects ◽

10.1080/15567036.2021.1915435 ◽

2021 ◽

pp. 1-24

Author(s):

Deepti Khatri ◽

Rahul Goyal ◽

Akshat Jain ◽

Alan T. Johnson

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Modeling And Optimization ◽

Emulsified Fuel

Download Full-text

Predicting the capability of carboxymethyl cellulose-stabilized iron nanoparticles for the remediation of arsenite from water using the response surface methodology (RSM) model: Modeling and optimization

Journal of Contaminant Hydrology ◽

10.1016/j.jconhyd.2017.06.005 ◽

2017 ◽

Vol 203 ◽

pp. 85-92 ◽

Cited By ~ 12

Author(s):

Amir Mohammadi ◽

Sepideh Nemati ◽

Mohammad Mosaferi ◽

Ali Abdollahnejhad ◽

Mohammad Almasian ◽

...

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Carboxymethyl Cellulose ◽

Iron Nanoparticles ◽

Modeling And Optimization ◽

Rsm Model

Download Full-text

Modeling and Optimization of Nanofluid Flow in Flat Tubes Using a Combination of CFD and Response Surface Methodology

Heat Transfer-Asian Research ◽

10.1002/htj.21126 ◽

2014 ◽

Vol 44 (4) ◽

pp. 377-395 ◽

Cited By ~ 3

Author(s):

H. Safikhani ◽

A. Abbassi ◽

A. Khalkhali ◽

M. Kalteh

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Nanofluid Flow ◽

Modeling And Optimization ◽

Flat Tubes

Download Full-text

Optimizing the biodegradation of two keratinous wastes through a Bacillus subtilis recombinant strain using a response surface methodology

Biodegradation ◽

10.1007/s10532-010-9368-6 ◽

2010 ◽

Vol 21 (6) ◽

pp. 1077-1092 ◽

Cited By ~ 3

Author(s):

Amira M. Embaby ◽

Taha I. Zaghloul ◽

Ahmed R. Elmahdy

Keyword(s):

Response Surface Methodology ◽

Bacillus Subtilis ◽

Response Surface ◽

Recombinant Strain

Download Full-text

Enhanced biomass production study on probiotic Bacillus subtilis SK09 by medium optimization using response surface methodology

AFRICAN JOURNAL OF BIOTECHNOLOGY ◽

10.5897/ajb10.1283 ◽

2010 ◽

Vol 9 (47) ◽

pp. 8078-8084 ◽

Cited By ~ 7

Author(s):

Sreekumar G ◽

Krishnan Soundarajan

Keyword(s):

Response Surface Methodology ◽

Bacillus Subtilis ◽

Response Surface ◽

Biomass Production ◽

Medium Optimization ◽

Production Study

Download Full-text

Determining Optimum Material Mixture Ratio and Hot-pressing Parameters for New Hybrid Fiber-reinforced Composites: Modeling and Optimization by Response Surface Methodology

BioResources ◽

10.15376/biores.13.2.4202-4223 ◽

2018 ◽

Vol 13 (2) ◽

Author(s):

Wei Song ◽

Minghao Zhu ◽

Wei Lin ◽

Shuangbao Zhang

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Hot Pressing ◽

Fiber Reinforced Composites ◽

Reinforced Composites ◽

Fiber Reinforced ◽

Hybrid Fiber ◽

Mixture Ratio ◽

Modeling And Optimization ◽

Optimum Material

Download Full-text