Statistical Modeling and Optimization of Chitosan Production from Absidia coerulea Using Response Surface Methodology

Response Surface ◽

Statistical Modeling ◽

Absidia Coerulea

Statistical modeling and optimization of pretreatment of Bombax ceiba with KOH through Box–Behnken design of response surface methodology

Energy Sources Part A Recovery Utilization and Environmental Effects ◽

10.1080/15567036.2018.1474291 ◽

2018 ◽

Vol 40 (9) ◽

pp. 1114-1124 ◽

Cited By ~ 3

Author(s):

Misbah Ghazanfar ◽

Muhammad Irfan ◽

Muhammad Nadeem

Keyword(s):

Response Surface ◽

Statistical Modeling ◽

Box Behnken Design ◽

Modeling And Optimization

STATISTICAL MODELING AND OPTIMIZATION OF ALKALINE PROTEASE PRODUCTION FROM A NEWLY ISOLATED ALKALOPHILICBacillusSPECIES BGS USING RESPONSE SURFACE METHODOLOGY AND GENETIC ALGORITHM

Preparative Biochemistry & Biotechnology ◽

10.1080/10826068.2012.719850 ◽

2013 ◽

Vol 43 (3) ◽

pp. 293-314 ◽

Cited By ~ 12

Author(s):

Innasi Muthu Ganesh Moorthy ◽

Rajoo Baskar

Keyword(s):

Genetic Algorithm ◽

Response Surface ◽

Statistical Modeling ◽

Alkaline Protease ◽

Protease Production ◽

Modeling And Optimization

Statistical modeling and optimization of culture conditions by response surface methodology for 2,4- and 2,6-dinitrotoluene biodegradation using Rhodococcus pyridinivorans NT2

3 Biotech ◽

10.1007/s13205-016-0468-9 ◽

2016 ◽

Vol 6 (2) ◽

Cited By ~ 5

Author(s):

Debasree Kundu ◽

Chinmay Hazra ◽

Ambalal Chaudhari

Keyword(s):

Response Surface ◽

Statistical Modeling ◽

Culture Conditions ◽

Optimization Of Culture Conditions

Statistical Modeling and Optimization of Itaconic Acid Reactive Extraction using Response Surface Methodology (RSM) and Artificial Neural Network (ANN)

Chemical Data Collections ◽

10.1016/j.cdc.2021.100806 ◽

2021 ◽

pp. 100806

Author(s):

Suchith Chellapan ◽

Dipaloy Datta ◽

Sushil Kumar ◽

Hasan Uslu

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Response Surface ◽

Statistical Modeling ◽

Itaconic Acid ◽

Reactive Extraction ◽

Artificial Neural ◽

Artificial Neural Network Ann

Statistical modeling and optimization of classical and ultrasound-assisted extraction of the minerals fromGalium mollugoL. by response surface methodology and genetic algorithm

Journal of Food Processing and Preservation ◽

10.1111/jfpp.13552 ◽

2017 ◽

Vol 42 (3) ◽

pp. e13552 ◽

Cited By ~ 1

Author(s):

Petar S. Milić ◽

Katarina M. Rajković ◽

Olivera S. Stamenković ◽

Danijela M. Bekrić ◽

Valentina Arsić-Arsenijević ◽

...

Keyword(s):

Genetic Algorithm ◽

Response Surface ◽

Statistical Modeling ◽

Ultrasound Assisted Extraction ◽

Assisted Extraction ◽

Ultrasound Assisted

Statistical modeling and optimization of the phosphorus biosorption by modified Lemna minor from aqueous solution using response surface methodology (RSM)

Desalination and Water Treatment ◽

10.1080/19443994.2015.1100555 ◽

2015 ◽

Vol 57 (41) ◽

pp. 19431-19442 ◽

Cited By ~ 24

Author(s):

Dariush Naghipour ◽

Kamran Taghavi ◽

Jalil Jaafari ◽

Yousef Mahdavi ◽

Mohammad Ghanbari Ghozikali ◽

...

Keyword(s):

Aqueous Solution ◽

Response Surface ◽

Statistical Modeling ◽

Lemna Minor ◽

Modeling And Optimization

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 ◽

Artificial Neural Networks ◽

Response Surface ◽

Banana Peel ◽

Artificial Neural

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 ◽

Palm Oil ◽

Modified Bitumen ◽

Mixing Parameters

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 ◽

Emulsified Fuel

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 ◽

Carboxymethyl Cellulose ◽

Iron Nanoparticles ◽

Rsm Model