[7] Gulum M., Onay F. K., Bilgin A. Evaluation of predictive capabilities of regression models and artificial neural networks for density and viscosity measurements of different biodiesel-diesel-vegetable oil ternary blends. Environmental and Climate Technologies 2018:(22):179–205. https://doi.org/10.2478/rtuect-2018-001210.2478/rtuect-2018-0012
[9] Veipa A., Kirsanovs V., Barisa, A. Techno-Economic Analysis of Biofuel Production Plants Producing Biofuels Using Fisher Tropsch Synthesis. Environmental and Climate Technologies 2020:24(2):373–387. https://doi.org/10.2478/rtuect-2020-008010.2478/rtuect-2020-0080
[19] Etim A. O., Musonge, P., Eloka-Eboka, A. C. Effectiveness of biogenic waste-derived heterogeneous catalysts and feedstock hybridization techniques in biodiesel production. Biofuels, Bioproducts and Biorefining 2020:14(3):620–649. https://doi.org/10.1002/bbb.209410.1002/bbb.2094
[20] Sharma A., Kodgire P., Kachhwaha S. S. Investigation of ultrasound-assisted KOH and CaO catalyzed transesterification for biodiesel production from waste cotton-seed cooking oil: Process optimization and conversion rate evaluation. Journal of Cleaner Production 2020:259:120982. https://doi.org/10.1016/j.jclepro.2020.12098210.1016/j.jclepro.2020.120982
[21] Singh V., et al. Biodiesel production using a novel heterogeneous catalyst, magnesium zirconate (Mg2Zr5O12): Process optimization through response surface methodology (RSM). Energy Conversion and Management 2018:174:198–207. https://doi.org/10.1016/j.enconman.2018.08.02910.1016/j.enconman.2018.08.029