Evidence map›Paper›PMID 32029512›Full record

ArticleJournal of lipid research2020

Development of a sensitive and quantitative method for the identification of two major furan fatty acids in human plasma.

Long Xu, Changfeng Hu, Yongguo Liu, Siming Li, Walter Vetter, Huiyong Yin, Yonghua Wang

Open access · hybridAbstract read
In one paragraph

Article in Journal of lipid research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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  5. Article
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 at 6 institutions in 2 countries.

Long XuSchool of Food Science and Engineering, South China University of Technology, Guangzhou, China.
Changfeng HuCollege of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, China.
Yongguo LiuBeijing Advanced Innovation Centre for Food Nutrition and Human Health, Beijing Key Laboratory of Flavor Chemistry, Beijing Technology and Business University, Beijing, China.
Siming LiAnalytical Applications Center, Analytical Instruments Division, Shimadzu, Guangzhou, China.
Walter VetterInstitute of Food Chemistry, Department of Food Chemistry (170b), University of Hohenheim, Stuttgart, Germany.
Huiyong YinCAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China hyyin@sibs.ac.cn yonghw@scut.edu.cn.ORCID 0000-0001-7049-1560
Yonghua WangSchool of Food Science and Engineering, South China University of Technology, Guangzhou, China hyyin@sibs.ac.cn yonghw@scut.edu.cn.
South China University of Technology · CNBeijing Technology and Business University · CNShanghai Institute of Nutrition and Health · CNShimadzu (China) · CNUniversity of Hohenheim · DEZhejiang Chinese Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article focuses on the establishment of an accurate and sensitive quantitation method for the analysis of furan fatty acids. In particular, the sensitivity of GC/MS and UPLC/ESI/MS/MS was compared for the identification and quantification of furan fatty acids. Different methylation methods were tested with respect to GC/MS analysis. Special attention needs to be paid to the methylation of furan fatty acids, as acidic catalysts might lead to the degradation of the furan ring. GC/MS analysis in full-scan mode demonstrated that the limit of quantitation was 10 μM. UPLC/ESI/MS/MS in multiple reaction monitoring mode displayed a higher detection sensitivity than GC/MS. Moreover, the identification of furan fatty acids with charge-reversal derivatization was tested in the positive mode with two widely used pyridinium salts. Significant oxidation was unexpectedly observed using

Indexed as

Limit of DetectionBlood Chemical AnalysisFastingFatty AcidsFuransHealthy VolunteersHumansFatty AcidsFuranscharge-reversal derivatizationmultiple reaction monitoringprecursor ion scan

Identifiers

PMID32029512
PMCPMC7112149
OpenAlexW3005285507

What OpenQuestion holds

Textmetadata
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.