Cited by 412Biodiesel Production and ApplicationsCatalysis and Hydrodesulfurization StudiesThermochemical Biomass Conversion Processes

The DOI matches its Crossref record; 324 of the 325 references it cites were found in a registry or an index, and 1 are not checked yet.

Biodiesel production from mixed oils: A sustainable approach towards industrial biofuel production

Open access

Abstract

Biodiesel is considered eco-friendly, biodegradable, non-toxic, and carbon-neutral fuel. It is made from edible or non-edible oil feedstocks including other triglyceride sources. The production of biodiesel depends on the availability of a particular feedstock and the cost of desired raw materials. Biodiesel is mainly produced by the transesterification process using a suitable catalyst preferably a heterogeneous catalyst as it is more beneficial in terms of reusability, recovery, product purity, and production cost as well. Various reactors are developed to produce cost-effective biodiesel at the commercial level. The latest trend in biodiesel synthesis is the application of the machine learning (ML) technique to optimize the process parameters. The application of a mixture of two or more oils as feedstock either non-edible or edible oil is emphasized for biodiesel synthesis and is presently getting more importance. In this paper, the production of biodiesel from various mixed oil (hybrid oil) is reviewed and the effects of mixed oil on the reaction, physicochemical properties, fatty acid composition, and fuel quality of the product are discussed. The study highlighted the activity of various catalysts in the reaction of mixed oil and the economic feasibility. It was found that the ratio of mixed oil is an important factor in terms of conversion and quality of biodiesel. It is also revealed that the application of the ML technique is essentially useful to optimize production efficiency. The utilization of mixed oils will overcome the issues related to the non-availability of feedstocks and reduce the overall cost with improved quality of biodiesel. This approach enhances the production possibility of biodiesel at a large-scale and may boost the biorefinery sector satisfying the future energy demand if the research at the advanced level goes in the right direction.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.ceja.2022.100284

Cites

324 of 325 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

1 retracted

Flagged first, then by citations

Show all 323 references

Research works printed but not linked: 5

  1. Mehboob, 2016, Reactor designs for the production of biodiesel, Int. J. Chem. Biochem. Sci., 10, 87
  2. Hasanah, 2021, Process parameter optimisation for transesterification of canola oil using continuous reactor with homogeneous base catalyst, Adv. Sust. Eng., 1, 1
  3. Doddabasawa, 2014, Biodiesel production cost analysis from the Pongamia pinnata: a case study in Yadagiri district of Karnataka-India, Int. J. Sci. Res., 3, 128
  4. Rao, 2015, Cost estimation analysis of biodiesel production from waste chicken fat, Int. J. Appl. Eng. Res., 10, 8963
  5. Hariram, 2019, Performance assessment of artificial neural network on the prediction of Calophyllum inophyllum biodiesel through two-stage transesterification, Energy Sources Part A

Cited by

Sorted by citations

Items 101–200 of 411

Metadata

Authors
Brahma, S., Nath, B., Basumatary, B., Das, B., Saikia, P., Patir, K., & Basumatary, S.
Affiliations
  • Bodoland University (IN)
  • North East Institute of Science and Technology (IN)
  • Assam University (IN)
Corresponding author
Basumatary, Sanjay
Venue
Chemical Engineering Journal Advances
Publisher
Elsevier BV
Published
2022-05
Volume
10
Pages
100284
ISSN
2666-8211 (ISSN-L)
OpenAlex
W4220993237
Cited by
412
References
323
Citations by year
2026: 58 · 2025: 128 · 2024: 125 · 2023: 78 · 2022: 23
FWCI
25.66
Type
journal article
Language
en
Open access
Locations
  • Chemical Engineering Journal Advances (publishedVersion, cc-by-nc-nd)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Physical Sciences › Energy › Fuel Technology › Biodiesel Production and Applications
  • Physical Sciences › Chemical Engineering › Catalysis › Catalysis and Hydrodesulfurization Studies
  • Physical Sciences › Energy › Fuel Technology › Thermochemical Biomass Conversion Processes
Keywords
biodiesel production, transesterification, heterogeneous catalysts, catalyst reusability, physicochemical properties of biodiesel, fatty acid composition, machine learning optimization, process parameter optimization, non-edible vegetable oil, edible oils, biorefinery, economic feasibility, fuel quality

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review