Evidence map›Paper›PMID 41078785›Full record

ArticleACS omega2025

High-Shear Mixing-Assisted Esterification of Lauric Acid to Produce Value-Added Products and Intermediaries: Effect of the Alcohol Structure.

Federico Manuel Reyes-Cruz, Manuel Sánchez-Cantú, Roberto Quintana-Solórzano, Jesús Sandoval-Ramírez, Alan Carrasco-Carballo

Abstract read
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Federico Manuel Reyes-CruzFacultad De Ingeniería Química, Benemérita Universidad Autónoma De Puebla, Avenida San Claudio y 18 Sur, C.P., 72570 Puebla, México.ORCID https://orcid.org/0000-0002-1256-3359
Manuel Sánchez-CantúFacultad De Ingeniería Química, Benemérita Universidad Autónoma De Puebla, Avenida San Claudio y 18 Sur, C.P., 72570 Puebla, México.ORCID https://orcid.org/0000-0003-2044-893X
Roberto Quintana-SolórzanoInstituto Mexicano Del Petróleo, Eje Central Lázaro Cárdenas Norte 152, Ciudad De México 07730, México.ORCID https://orcid.org/0000-0001-6949-2291
Jesús Sandoval-RamírezLaboratorio De Elucidación y Síntesis En Química Orgánica, Instituto De Ciencias, Benemérita Universidad Autónoma De Puebla, 72570 Puebla, México.
Alan Carrasco-CarballoLaboratorio De Elucidación y Síntesis En Química Orgánica, Instituto De Ciencias, Benemérita Universidad Autónoma De Puebla, 72570 Puebla, México.ORCID https://orcid.org/0000-0003-1065-4211

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper describes the benefits of incorporating the high-shear mixing (HSM) technology to intensify the homogeneous acid-catalyzed esterification of lauric acid (LA) with a set of alcohols having different chain lengths and branching degrees to produce lauric acid alkyl esters, as a sustainable alternative for producing diverse products (cosmetics, diesel fuel, cetane improvers, and chemical intermediaries). To elucidate the effect of the alcohol structure, the esterification reaction is conducted in the liquid phase at 60 °C, with an alcohol-to-LA molar ratio of 13:1 and 500 rpm for 12 min, using sulfuric acid as the catalyst. The HSM-assisted esterification requires only 12 min to suffice to convert from 88.2 to 93.6% fed LA and from 16.3 to 90.7% fed LA when reacting with linear and branched alcohols, respectively. LA conversion is generally low when using relatively simple and branched alcohols (

Identifiers

PMID41078785
PMCPMC12508932

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.