Evidence map›Paper›PMID 26773411›Full record

ReviewMass spectrometry reviews2017

Selection of internal standards for accurate quantification of complex lipid species in biological extracts by electrospray ionization mass spectrometry-What, how and why?

Miao Wang, Chunyan Wang, Xianlin Han

Abstract readReview
In one paragraph

Review in Mass spectrometry reviews, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 144 papers.

0numbers the graph read from it
0cells of the map it votes in
144citing 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

144 citing papers in PubMed.

  1. Trial
  2. Article
  3. Aziridination-Enabled Structural and Quantitative Lipidomics.Journal of the American Society for Mass Spectrometry · 2026
    Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Oleic Acid Levels in HSAInternational journal of molecular sciences · 2026
    Article
  10. Review
  11. Article
  12. Article
  13. Caspase-6 Controls Lipid and Energy Metabolism in Diet-Induced Obesity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  14. Article
  15. Article
  16. Disruption of Hepatic Insulin Signaling Causes Phospholipid Dysregulation in Mice.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  17. Article
  18. Article
  19. Review
  20. Article

84 more citing papers are in PubMed but not listed here.

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

3 authors.

Miao WangCenter for Metabolic Origins of Disease, Sanford Burnham Prebys Medical Discovery Institute, Orlando, FL 32827.
Chunyan WangCenter for Metabolic Origins of Disease, Sanford Burnham Prebys Medical Discovery Institute, Orlando, FL 32827.
Xianlin HanCenter for Metabolic Origins of Disease, Sanford Burnham Prebys Medical Discovery Institute, Orlando, FL 32827.

Funding

Identification of altered lipids predictive of anesthetic-induced brain injuryR01GM105724 · NIGMS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI HAN, XIANLIN · 2013 to 2016
$1.8M
NIGMS NIH HHS R01 GM105724
6 · The paper itself

Abstract

Lipidomics is rapidly expanding because of the great facilitation of recent advances in, and novel applications of, electrospray ionization mass spectrometry techniques. The greatest demands have been for successful quantification of lipid classes, subclasses, and individual molecular species in biological samples at acceptable accuracy. This review addresses the selection of internal standards in different methods for accurate quantification of individual lipid species. The principles of quantification with electrospray ionization mass spectrometry are first discussed to recognize the essentials for quantification. The basics of different lipidomics approaches are overviewed to understand the variables that need to be considered for accurate quantification. The factors that affect accurate quantification are extensively discussed, and the solutions to resolve these factors are proposed-largely through addition of internal standards. Finally, selection of internal standards for different methods is discussed in detail to address the issues of what, how, and why related to internal standards. We believe that thorough discussion of the topics related to internal standards should aid in quantitative analysis of lipid classes, subclasses, and individual molecular species and should have big impacts on advances in lipidomics. © 2016 Wiley Periodicals, Inc. Mass Spec Rev 36:693-714, 2017.

Indexed as

Carbon IsotopesChromatography, LiquidLipidsSpectrometry, Mass, Electrospray IonizationTandem Mass SpectrometryCarbon IsotopesLipidsaggregationbiological lipid extractlipidomicsmass spectrometryquantitation

Identifiers

PMID26773411
PMCPMC4947032

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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.