Modeling and optimization of decolorization of C.I. Reactive Orange 16 via SO4.- radicals by response surface methodology

Response Surface ◽

Reactive Orange 16 ◽

Application of response surface methodology for enhanced synthesis of chitosan tripolyphosphate/TiO2 nanocomposite and adsorption of reactive orange 16 dye

Journal of Cleaner Production ◽

10.1016/j.jclepro.2019.05.291 ◽

2019 ◽

Vol 232 ◽

pp. 43-56 ◽

Cited By ~ 39

Author(s):

Ahmed Saud Abdulhameed ◽

AbdulKarim-Talaq Mohammad ◽

Ali H. Jawad

Keyword(s):

Response Surface ◽

Reactive Orange 16 ◽

Synthesis of chitosan-ethylene glycol diglycidyl ether/TiO2 nanoparticles for adsorption of reactive orange 16 dye using a response surface methodology approach

Bioresource Technology ◽

10.1016/j.biortech.2019.122071 ◽

2019 ◽

Vol 293 ◽

pp. 122071 ◽

Cited By ~ 23

Author(s):

Ahmed Saud Abdulhameed ◽

Ali H. Jawad ◽

AbdulKarim-Talaq Mohammad

Keyword(s):

Ethylene Glycol ◽

Response Surface ◽

Tio2 Nanoparticles ◽

Diglycidyl Ether ◽

Reactive Orange 16 ◽

Modeling and Optimization of Adsorption Removal of Reactive Orange 13 on the Alginate-Montmorillonite-Polyaniline Nanocomposite via Response Surface Methodology

Journal of the Chinese Chemical Society ◽

10.1002/jccs.201600876 ◽

2017 ◽

Vol 64 (6) ◽

pp. 627-639 ◽

Cited By ~ 11

Author(s):

Zahra Ayazi ◽

Zahra Monsef Khoshhesab ◽

Fahimeh Farshi Azhar ◽

Zahra Mohajeri

Keyword(s):

Response Surface ◽

Adsorption Removal ◽

Reactive Orange ◽

Polyaniline Nanocomposite

Modeling and mechanism of reactive orange 16 dye adsorption by chitosan-glyoxal/TiO2 nanocomposite: application of response surface methodology

10.5004/dwt.2019.24384 ◽

2019 ◽

Vol 164 ◽

pp. 346-360 ◽

Cited By ~ 13

Author(s):

Ahmed Saud Abdulhameed ◽

AbdulKarim-Talaq Mohammad ◽

Ali H. Jawad

Keyword(s):

Response Surface ◽

Dye Adsorption ◽

Reactive Orange 16 ◽

A comparative study on the performance of microbial fuel cell for the treatment of reactive orange 16 dye using mixed and pure bacterial species and its optimization using response surface methodology

Sustainable Energy Technologies and Assessments ◽

10.1016/j.seta.2021.101667 ◽

2021 ◽

Vol 48 ◽

pp. 101667

Author(s):

Amrita Shahi ◽

Padmanaban Velayudhaperumal Chellam ◽

Ankur Verma ◽

R.S. Singh

Keyword(s):

Fuel Cell ◽

Comparative Study ◽

Response Surface ◽

Microbial Fuel Cell ◽

Bacterial Species ◽

Reactive Orange 16 ◽

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