Log in

Optimization, Characterization and Production of Biodiesel from Rumex Crispus Leaves and Roots Oil Using Central Composite Design (CCD)

  • Original Article
  • Published:
Chemistry Africa Aims and scope Submit manuscript

Abstract

Biodiesel is an alternative energy sources to petroleum and its quantity is continuously decreasing due to an increase in demand, and produced through a chemical process called transesterification, which refers to a synthesizing the extracted oil, catalyst with methanol to produce biodiesel and a byproduct (glycerin). The production of biodiesel is carried out from non-edible oil extracted from Rumex Crispus leaves and root oils and optimizing the effects of independent process variables. For the optimization study, a Response Surface Methodology centered on Central Composite Design was used to optimize the independent process variables such as methanol/oil molar ratio, reaction time, reaction temperature, and catalyst concentration. A quadratic model was used to predict the performance of biodiesel yield. The optimal conditions were obtained at a molar ratio of methanol to oil of 8:1, a reaction time of 3 h, reaction temperature of 65 ℃, and catalyst concentration of 1.5 wt%. Under these conditions the predicted and experimental biodiesel yields were 93.72% and 94.18% respectively. The R2 value of the model was 0.9855, indicating the accuracy of the model. The properties of produced biodiesel from Rumex Crispus leave and root oil meets the requirements of American Society of Testing Material and European standard for biodiesel, and characterized by Gas Chromatography-Mass Spectroscopy and Fourier transform infrared analysis. The study investigated the potential of Rumex Crispus leaves and roots oil to biodiesel, using a heterogeneous catalysis system to bypass current demand issues.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6 
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

Availability of Data and Material

The availability of data, i.e. experimental design, data analysis (RSM), FTIR, Gas chromatography-mass spectrometry (GC–MS) used to support the results of this study are incorporated in the article.

Abbreviations

ANOVA:

Analysis of variance

CaO:

Calcium oxide

CCD:

Central composite design

FTIR:

Fourier transforms infrared

GC–MS:

Gas chromatographs mass spectroscopy

FAC:

Fatty acid

RSM:

Response surface methodology centered

References

  1. Ahmia AC, Danane F, Bessah R, Boumesbah I (2014) Raw material for biodiesel production. Valorization of used edible oil. J Renew Energies 17(2):335–343

    Google Scholar 

  2. Ahmia AC, Danane F, Bessah R, Boumesbah I (2014) Raw material for biodiesel production. Valorization of used edible oil. Revue Des Energies Renouvelables 17:335–343

    Google Scholar 

  3. Alshallash S (2015) Quantifying the efficiency of the beetle (gostrophysavirdula quantifying the efficiency) as biological control agent on weedy plant sorrel dock (control agent on weedy plant sorrel dock (rumex crispus) at different seedling growth stages. Int J Curr Res 7(11):23049–23056

    CAS  Google Scholar 

  4. Anwar M, Rasul MG, Ashwath N, Rahman MM (2018) Optimisation of second-generation biodiesel production from Australian native stone fruit oil using response surface method. Energies 11(10):2566. https://doi.org/10.3390/en11102566

    Article  CAS  Google Scholar 

  5. Aworanti OA, Agarry SE, Ajani AO (2013) Statistical optimization of process variables for biodiesel production from waste cooking oil using heterogeneous base catalyst. Br Biotechnol J 3(2):116–132

    Article  Google Scholar 

  6. Bai L, Tajikfar A, Tamjidi S, Foroutan R, Esmaeili H (2021) Synthesis of MnFe2O4@graphene oxide catalyst for biodiesel production from waste edible oil. Renewable Energy 170:426–437. https://doi.org/10.1016/j.renene.2021.01.139

    Article  CAS  Google Scholar 

  7. Boulifi NE, Bouaid A, Martinez M, Aracil J (2010) Process optimization for biodiesel production from corn oil and its oxidative stability. Int J Chem Eng. https://doi.org/10.1155/2010/518070

  8. Bullo TA, Fana FB (2021) Production and characterization of biodiesel from avocado peel oils using experimental analysis (ANOVA). J Eng Adv. 02(02):104–111. https://doi.org/10.38032/jea.2021.02.006

    Article  Google Scholar 

  9. Ćebović T, Jakovljević D, Maksimović Z, Djordjević S, Jakovljević S, Četojević-Simin D (2020) Antioxidant and cytotoxic activities of curly dock (Rumex crispus L., Polygonaceae) fruit extract. Vojnosanit Pregl 77(3):308–316. https://doi.org/10.2298/VSP170713084C

    Article  Google Scholar 

  10. Dharma S, Masjuki HH, Ong HC, Sebayang AH, Silitonga AS, Kusumo F, Mahlia TMI (2016) Optimization of biodiesel production process for mixed Jatropha curcas-Ceiba pentandra biodiesel using response surface methodology. Energy Convers Manage 115:178–190. https://doi.org/10.1016/j.enconman.2016.02.034

    Article  CAS  Google Scholar 

  11. Dharma S, Haji M, Chyuan H, Hanra A (2017) Optimization of biodiesel production from mixed jatropha curcas—ceiba pentandra using artificial neural network- genetic algorithm: evaluation of reaction kinetic models. Chem Eng Trans 56:547–552. https://doi.org/10.3303/CET1756092

    Article  Google Scholar 

  12. El-Gendy NS, Deriase SF, Hamdy A, Abdallah RI (2015) Statistical optimization of biodiesel production from sunflower waste cooking oil using basic heterogeneous biocatalyst prepared from eggshells. Egypt J Pet 24(1):37–48. https://doi.org/10.1016/j.ejpe.2015.02.004

    Article  Google Scholar 

  13. Elkady MFAZ (2015) Production of biodiesel from waste vegetable oil via KM micro-mixer. J Pet Environ Biotechnol. https://doi.org/10.4172/2157-7463.1000218

    Article  Google Scholar 

  14. Fan X, Wang X, Chen F (2011) Biodiesel production from crude cottonseed oil: an optimization process using response surface methodology. Open Fuels & Energy Sci J 4:1–8. https://doi.org/10.2174/1876973X01104010001

    Google Scholar 

  15. Foroutan R, Mohammadi R, Esmaeili H, Mirzaee Bektashi F, Tamjidi S (2020) Transesterification of waste edible oils to biodiesel using calcium oxide@magnesium oxide nanocatalyst. Waste Manage 105:373–383. https://doi.org/10.1016/j.wasman.2020.02.032

    Article  CAS  Google Scholar 

  16. Foroutan R, Mohammadi R, Ramavandi B (2021) Waste glass catalyst for biodiesel production from waste chicken fat: optimization by RSM and ANNs and toxicity assessment. Fuel 291:120–151. https://doi.org/10.1016/j.fuel.2021.120151

    Article  CAS  Google Scholar 

  17. George A, Joshua A, Akorede OI, Adeoye S, Victoria D (2019) Modelling and optimisation of biodiesel production from Euphorbia lathyris using ASPEN Hysys. SN Appl Sci 1(11):1–9. https://doi.org/10.1007/s42452-019-1522-0

    Article  CAS  Google Scholar 

  18. Gupta J, Agarwal M, Dalai AK (2016) Optimization of biodiesel production from mixture of edible and nonedible vegetable oils. Biocatal Agric Biotechnol. https://doi.org/10.1016/j.bcab.2016.08.014

    Article  Google Scholar 

  19. Hojjat M, Nayebzadeh H (2016) Optimization of process conditions for biodiesel production over CaO – Al 2 O 3/ZrO 2 catalyst using response surface methodology. Chem Pap. https://doi.org/10.1007/s11696-016-0096-1

    Article  Google Scholar 

  20. Hundie KB, Shumi LD, Bullo TA (2022) Investigation of biodiesel production parameters by transesterification of watermelon waste oil using definitive screening design and produced biodiesel characterization. S Afr J Chem Eng 41:140–149. https://doi.org/10.1016/j.sajce.2022.06.002

    Article  Google Scholar 

  21. Jeyakumar N, Narayanasamy B, Venkatraman B (2019) Optimisation of biodiesel production from Jack fruit seed oil using response surface methodology. Int J Ambient Energy. https://doi.org/10.1080/01430750.2019.1621202

    Article  Google Scholar 

  22. Karmakar A, Mukherjee S (2017) Process optimization of biodiesel production from Neem oil. Indian J Agric Res Process 51(6):529–355. https://doi.org/10.18805/IJARe.A-4831

    Article  Google Scholar 

  23. Kaya E, Akbaş P, Ceyhan G, Karabekmez Erdem T, Alkan H (2020) Determination the fatty acid composition of the Rumex patientia L. leaves and in vitro antimicrobial activity of their different extracts. J Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 24:362–367. https://doi.org/10.19113/sdufenbed.643154

    Article  CAS  Google Scholar 

  24. Keneni YG, Marchetti JM (2017) Oil extraction from plant seeds for biodiesel production. AIMS Energy 5:316–340. https://doi.org/10.3934/energy.2017.2.316

  25. Naik L, Radhika N, Sravani K, Hareesha A, Mohanakumari B, Bhavanasindhu K (2015) Optimized parameters for production of biodiesel from fried oil optimized parameters for production of biodiesel from fried Oil. Int Adv Res J Sci, Eng Technol. 2:62–65. https://doi.org/10.17148/IARJSET.2015.2615

    Article  Google Scholar 

  26. Nigussie G (2021) Isolation and characterization of the roots of Rumex nervosus. J Trop Pharm Chem 5(1):39–50. https://doi.org/10.25026/jtpc.v5i1.241

    Article  Google Scholar 

  27. Olagunju OA, Musonge P, Kiambi SL (2022) Production and optimization of biodiesel in a membrane reactor using a solid base catalyst. Membranes 12(7):1–15. https://doi.org/10.3390/membranes12070674

    Article  CAS  Google Scholar 

  28. Palani Y, Devarajan C, Manickam D, Thanikodi S (2020) Performance and emission characteristics of biodiesel-blend in diesel engine: a review. Environ Eng Res 27(1):200338. https://doi.org/10.4491/eer.2020.338

    Article  Google Scholar 

  29. Panichikkal AF, Prakasan P, Kizhakkepowathial Nair U, Kulangara Valappil M (2018) Optimization of parameters for the production of biodiesel from rubber seed oil using onsite lipase by response surface methodology. 3 Biotech. 8(11):1–14. https://doi.org/10.1007/s13205-018-1477-7

    Article  Google Scholar 

  30. Amini R, Bahmani Y, Amjadi E (2015) Effect of salinity and crop residue on seed germination and early seedling growth of curled dock (Rumex Crispus L.). Int J Plant Anim Environ Sci 1:68–73

    Google Scholar 

  31. Rajesh K et al (2021) Parametric optimization and biodiesel production from coconut fatty acid distillate. Iran J Chem Chem Eng 40(1):343–355

    CAS  Google Scholar 

  32. Selvakumar MJ, Alexis SJ (2016) Renewable fuel production technologies. Middle-East J Sci Res 24(8):2502–2509. https://doi.org/10.5829/idosi.mejsr.2016.24.08.23783

  33. Shafiq N, Saleem M, Kousar S, Sahar M, Hussain SM, Jabeen F (2017) Investigation of genus Rumex for their biologically active constituents. Pharm Chem Sci 2:148–165. www.rjlbpcs.comwww.rjlbpcs.com

    Google Scholar 

  34. Singh D, Kumar V, Sandhu SS, Sarma AK (2016) Process optimization for biodiesel production from indigenous non-edible Prunus armeniaca oil. Adv Energy Res 4(3):189–202

    Article  Google Scholar 

  35. Talebian-Kiakalaieh A, Amin NAS, Mazaheri H (2013) A review on novel processes of biodiesel production from waste cooking oil. Appl Energy 104:683–710. https://doi.org/10.1016/j.apenergy.2012.11.061

    Article  ADS  CAS  Google Scholar 

  36. Zulqarnain, Mohd Yusoff MH, Ayoub M, Ramzan N, Nazir MH, Zahid I, Abbas N, Elboughdiri N, Mirza CR, Butt TA (2021) Overview of feedstocks for sustainable biodiesel production and implementation of the biodiesel program in Pakistan. ACS Omega 6(29):19099–19114. https://doi.org/10.1021/acsomega.1c02402

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

The authors would like to express their highest gratitude to the School of chemical Engineering, Jimma Institute of Technology, and Jimma University to support laboratory materials, and internet free services.

Funding

Not applicable.

Author information

Authors and Affiliations

Authors

Contributions

All the authors: TAB wrote the main parts of the manuscript, YMB, MSB, KBH DAA and DGG have made a substantial contribution in conceptualization, data curation, formal analysis, methodology, designed the study and procedure, interpretation of the data, conducting lab testing, visualization, validation, analysis of FT-IR spectroscopy, and GC–MS analysis. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Yigezu Mekonnen Bayisa.

Ethics declarations

Conflict of Interest

The authors declare that there are no materials or financial conflicts of interest in this study.

Ethical Approval and Consent to Participate

This article does not include human or animal studies conducted by any of the authors. Consent to participate in the study was also obtained at the individual level.

Consent for Publication

The paper is original, has not yet been published in a journal, and is not currently peer-reviewed by another journal.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bullo, T.A., Bayisa, Y.M., Hundie, K.B. et al. Optimization, Characterization and Production of Biodiesel from Rumex Crispus Leaves and Roots Oil Using Central Composite Design (CCD). Chemistry Africa 7, 749–761 (2024). https://doi.org/10.1007/s42250-023-00784-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s42250-023-00784-3

Keywords

Navigation