Evidence map›Paper›PMID 41752392›Full record

ArticleMolecules (Basel, Switzerland)2026

The Development and Characterization of a Nervonic-Acid-Rich Structured Lipid.

Guo-Ying Li, Hao-Duo Yang, Jian-Xin Wen, Yi-Xiang Sun, Wei-Min Zhang, Chin-Ping Tan, Yong-Jiang Xu

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2026. 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

7 authors.

Guo-Ying LiState Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China.ORCID 0000-0002-5559-8017
Hao-Duo YangState Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China.
Jian-Xin WenState Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China.
Yi-Xiang SunState Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China.ORCID 0009-0000-3158-6954
Wei-Min ZhangSchool of Food Science and Engineering, Hainan University, Haikou 570228, China.
Chin-Ping TanDepartment of Food Technology, Faculty of Food Science and Technology, University Putra Malaysia, Serdang 43400, Selangor, Malaysia.ORCID 0000-0003-4177-4072
Yong-Jiang XuState Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China.ORCID 0000-0002-8704-2937

Funding

Inner Mongolia Autonomous Region Science and Technology Plan 2025YFDZ0048Pilot Research Program of WIIRI NO.XD24016
6 · The paper itself

Abstract

Nervonic acid (NA), an ultra-long-chain monounsaturated fatty acid, has attracted widespread attention in recent years due to its notable neuroprotective and antioxidant effects. In this study, a structured lipid was developed by enzymatically interesterifying coconut oil, palm stearin, and NA. The effects of lipase type, reaction temperature, time, and enzyme dosage on NA incorporation were investigated. The highest NA content in the structured lipid was achieved under optimized conditions: a reaction temperature of 64.6 °C, a reaction time of 7.17 h, and an enzyme dosage of 8.46%. Subsequently, a machine learning model was constructed to predict the sliding melting point. The NA-rich structured lipid, designed and prepared for use as a plastic fat, comprised 59.34% unsaturated fatty acids (46.76% NA) and exhibited β' crystal polymorphism. This combined experimental and computational approach is a reliable strategy for preparing functional structured lipids.

Indexed as

Fatty Acids, MonounsaturatedLipidsCoconut OilLipaseMachine LearningTemperatureCoconut OilFatty Acids, MonounsaturatedLipaseLipidsnervonic acidenzymatic interesterificationmachine learningnervonic acidsliding melting pointstructured lipids

Identifiers

PMID41752392
PMCPMC12943645

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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.