Evidence map›Paper›PMID 37740746›Full record

ArticleBioprocess and biosystems engineering2023

Development of an ultrasound-assisted pre-treatment strategy for the extraction of D-Limonene toward the production of bioethanol from citrus peel waste (CPW).

George Mbella Teke, Liza De Vos, Isle Smith, Tamryn Kleyn, Zwonaka Mapholi

Open access · hybridAbstract read
In one paragraph

Article in Bioprocess and biosystems engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
5.4field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

George Mbella TekeDepartment of Chemical Engineering, Stellenbosch University, Private Bag X1, Matieland, Stellenbosch, 7602, South Africa. gteke@sun.ac.za.ORCID http://orcid.org/0000-0001-9736-4705
Liza De VosDepartment of Chemical Engineering, Stellenbosch University, Private Bag X1, Matieland, Stellenbosch, 7602, South Africa.
Isle SmithDepartment of Chemical Engineering, Stellenbosch University, Private Bag X1, Matieland, Stellenbosch, 7602, South Africa.
Tamryn KleynDepartment of Chemical Engineering, Stellenbosch University, Private Bag X1, Matieland, Stellenbosch, 7602, South Africa.
Zwonaka MapholiDepartment of Chemical Engineering, Stellenbosch University, Private Bag X1, Matieland, Stellenbosch, 7602, South Africa. zmapholi@sun.ac.za.
Stellenbosch University · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Citrus is one of the world's most abundant fruits containing vitamins, pigments, and fragrances, making it vital for several industries. However, these fruits contain about 45-50% residues (peels), which often end up as waste and can be harmful to the environment if not properly treated. Bioethanol production from citrus peel waste offers a potential solution to this problem. Hence, this study explores the potential of using ultrasound-assisted pre-treatment method as a novel strategy to extract D-Limonene (essential oil in the residue), and further demonstrates bioethanol production. This was done by investigating ultrasonication's optimal effect on pre-treatment of the citrus residue, followed by bioethanol production. The results show that, optimum values for D-Limonene extraction were obtained at a temperature of 14.6 °C and an ultrasound intensity of 25.81 W/cm

Indexed as

CitrusOils, VolatileFermentationLimoneneLimoneneOils, VolatileBioethanol productionCitrus peel wasteD-Limonene optimizationPretreatmentUltrasound-assisted extraction

Identifiers

PMID37740746
PMCPMC10615952
OpenAlexW4386981067

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.