Evidence map›Paper›PMID 38398664›Full record

ArticleMolecules (Basel, Switzerland)2024

Enzymatic Synthesis of Structured Lipids Enriched with Medium- and Long-Chain Triacylglycerols via Pickering Emulsion-Assisted Interfacial Catalysis: A Preliminary Exploration.

Zhe Dong, Ziheng Cui, Jun Jin, Xinyi Cheng, Gangcheng Wu, Xingguo Wang, Qingzhe Jin

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Zhe DongState Key Lab of Food Science and Resources, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China.
Ziheng CuiNational Energy R&D Center for Biorefinery, Beijing University of Chemical Technology, Beijing 100029, China.ORCID 0000-0002-8852-8330
Jun JinState Key Lab of Food Science and Resources, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China.ORCID 0000-0002-6186-6882
Xinyi ChengState Key Lab of Food Science and Resources, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China.
Gangcheng WuState Key Lab of Food Science and Resources, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China.
Xingguo WangState Key Lab of Food Science and Resources, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China.
Qingzhe JinState Key Lab of Food Science and Resources, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China.

Funding

National Key Research and Development Project 2021YFD2100303
6 · The paper itself

Abstract

Medium- and long-chain triacylglycerol (MLCT), as a novel functional lipid, is valuable due to its special nutritional properties. Its low content in natural resources and inefficient synthesis during preparation have limited its practical applications. In this study, we developed an effective Pickering emulsion interfacial catalysis system (PE system) for the enzymatic synthesis of MLCT by trans-esterification. Lipase NS 40086 served simultaneously as a catalyst and a solid emulsifier to stabilize the Pickering emulsion. Benefitting from the sufficient oil-water interface, the obtained PE system exhibited outstanding catalytic efficiency, achieving 77.5% of MLCT content within 30 min, 26% higher than that of a water-free system. The

Indexed as

enzymatic trans-esterificationmedium- and long-chain triacylglycerolmolecular dynamics simulationpickering emulsion interfacial catalysistunnel analysis

Identifiers

PMID38398664
PMCPMC10893273

What OpenQuestion holds

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Registered trials

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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.