Artificial Intelligence Techniques and Response Surface Methodology for the Optimization of Methyl Ester Sulfonate Synthesis from Used Cooking Oil by Sulfonation-Reference-Cited by-同舟云学术

Artificial Intelligence Techniques and Response Surface Methodology for the Optimization of Methyl Ester Sulfonate Synthesis from Used Cooking Oil by Sulfonation

Published:2023-05-24 Issue:22 Volume:8 Page:19287-19301
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Yusuff Adeyinka Sikiru¹^ORCID,Ishola Niyi Babatunde²,Gbadamosi Afeez Olayinka³

Affiliation:

1. Department of Chemical and Petroleum Engineering, College of Engineering, Afe Babalola University, Ado-Ekiti 23438, Nigeria

2. Department of Chemical Engineering, Faculty of Technology, Obafemi Awolowo University, Ile-Ife 23438, Nigeria

3. Department of Petroleum Engineering, College of Petroleum and Geosciences, King Fahd University of Petroleum and Minerals, 31261 Dhahran, Saudi Arabia

Funder

Afe Babalola University, Ado-Ekiti

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.2c08117

Reference49 articles.

1. Synthesis, Characterization, and Evaluation of Solution Properties of Sesame Fatty Methyl Ester Sulfonate Surfactant

2. Performance of Palm-Based C_16/18 Methyl Ester Sulphonate (MES) in Liquid Detergent Formulation

3. Waste ostrich- and chicken-eggshells as heterogeneous base catalyst for biodiesel production from used cooking oil: Catalyst characterization and biodiesel yield performance

4. Synthesis, Characterization and Exploratory Application of Anionic Surfactant Fatty Acid Methyl Ester Sulfonate from Waste Cooking Oil

5. Application of response surface methodology for optimization of biodiesel production parameters from waste cooking oil using a membrane reactor

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