Evidence map›Paper›PMID 38319358›Full record

ReviewAnalytical and bioanalytical chemistry2024

Sample preparation for fatty acid analysis in biological samples with mass spectrometry-based strategies.

Li Yang, Jie Yuan, Bolin Yu, Shuang Hu, Yu Bai

Abstract readReview
PubMed Publisher
In one paragraph

Review in Analytical and bioanalytical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 2 institutions in 1 country.

Li YangDepartment of Pharmacy, Shanxi Medical University, Taiyuan, 030001, People's Republic of China. yangliwdccms@163.com.
Jie YuanDepartment of Pharmacy, Shanxi Medical University, Taiyuan, 030001, People's Republic of China.
Bolin YuDepartment of Pharmacy, Shanxi Medical University, Taiyuan, 030001, People's Republic of China.
Shuang HuDepartment of Pharmacy, Shanxi Medical University, Taiyuan, 030001, People's Republic of China.
Yu BaiKey Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, College of Chemistry and Molecular Engineering, Beijing National Laboratory for Molecular Sciences, Peking University, Beijing, 100871, People's Republic of China. yu.bai@pku.edu.cn.ORCID http://orcid.org/0000-0003-1542-0297
Shanxi Medical University · CNPeking University · CN

Funding

National Natural Science Foundation of China 22125401National Natural Science Foundation of China 81973287Natural Science Foundation of Shanxi Province 202303021211109
6 · The paper itself

Abstract

Fatty acids (FAs) have attracted many interests for their pivotal roles in many biological processes. Imbalance of FAs is related to a variety of diseases, which makes the measurement of them important in biological samples. Over the past two decades, mass spectrometry (MS) has become an indispensable technique for the analysis of FAs owing to its high sensitivity and precision. Due to complex matrix effect of biological samples and inherent poor ionization efficiency of FAs in MS, sample preparation including extraction and chemical derivatization prior to analysis are often employed. Here, we describe an updated overview of FA extraction techniques, as well as representative derivatization methods utilized in different MS platforms including gas chromatography-MS, liquid chromatography-MS, and mass spectrometry imaging based on different chain lengths of FAs. Derivatization strategies for the identification of double bond location in unsaturated FAs are also summarized and highlighted. The advantages, disadvantages, and prospects of these methods are compared and discussed. This review provides the development and valuable information for sample pretreatment approaches and qualitative and quantitative analysis of interested FAs using different MS-based platforms in complex biological matrices. Finally, the challenges of FA analysis are summarized and the future perspectives are prospected.

Indexed as

Fatty AcidsFatty Acids, UnsaturatedGas Chromatography-Mass SpectrometryLiquid Chromatography-Mass SpectrometryMass SpectrometryFatty AcidsFatty Acids, UnsaturatedDerivatizationExtractionFatty acidsMass spectrometry

Identifiers

PMID38319358
OpenAlexW4391576963

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.