Cited by 37Analytical chemistry methods developmentMetabolomics and Mass Spectrometry StudiesAnalytical Chemistry and Chromatography

Determination of 19 steroid hormones in human serum and urine using liquid chromatography-tandem mass spectrometry

Open access
Li, Zhong-Min, Kannan, Kurunthachalam·2022·Toxics

Abstract

This paper describes a methodology for simultaneous determination of 19 steroid hormones, viz. estrone, estradiol, estriol, testosterone, 5α-dihydrotestosterone, androstenedione, androstenediol, dehydroepiandrosterone, progesterone, pregnenolone, 17α-OH-progesterone, 17α-OH-pregnenolone, cortisone, cortisol, 11-deoxycortisol, 11-deoxycorticosterone, 11-dehydrocorticosterone, aldosterone, and corticosterone, in 500-µL of urine or serum/plasma. The method was optimized using isotopically labeled internal standards and liquid-liquid extraction followed by detection using liquid chromatography-electrospray ionization-tandem mass spectrometry (LC-MS/MS). Dansylation of estrogens significantly improved their sensitivities (~11- to 23-fold) and chromatographic separation. The respective limit of detection (LOD) and limit of quantification (LOQ) of all analytes were 0.04−0.28 and 0.14−0.92 ng/mL in human urine, and 0.11−0.35 and 0.38−1.18 ng/mL in human serum/plasma. Recoveries of all analytes (except for progesterone) fortified at 10, 20, and 200 ng/mL in urine and serum were 80−120%, with standard deviations ranging from 0 to 17.3%. Repeated analysis of similarly fortified urine and serum samples yielded intra-day and inter-day variations of 0−21.7% and 0.16−11.5%, respectively. All analytes except cortisone exhibited weak matrix effects in urine and serum (−13.9−18.2%). The method was further validated through the analysis of the National Institute of Standards and Technology (NIST) plasma Standard Reference Material (SRM1950) with certified concentrations for cortisol, progesterone, and testosterone (coefficient of variation: 3−11%). The developed method was applied in the analysis of urine samples from 20 volunteers, which revealed the occurrence of 16 analytes with detection frequencies (DFs) > 80%. Furthermore, 15 analytes were found in plasma SRM1950, indicating the feasibility of our method in the analysis of steroid hormones in urine and serum/plasma. This method will facilitate analysis of steroid hormones in population-based biomonitoring studies.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3390/toxics10110687

Cites

28 of 28 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Several sensitive and robust LC-MS/MS methods for multiple steroids have been developed in recent years and many methods meet the requirements for clinical applications.

    “Several sensitive and robust LC-MS/MS methods for multiple steroids have been developed in recent years and many methods meet the re­ quirements for clinical applications [5 -16].”

    From Sex- and age-specific reference intervals of 16 steroid metabolites quantified simultaneously by LC-MS/MS in sera from 2458 healthy subjects aged 0 to 77 years (2024) · cites this paper as [11]

    The Introduction says LC-MS/MS has been used for steroid analysis in recent years, and the Conclusions describe a validated method for measuring 19 hormones in human serum and urine. The paper does not establish that many such methods meet clinical-application requirements; it describes its own method as suitable for population-based biomonitoring. (LLM, conf=0.86)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Li, Z.-M., & Kannan, K.
Affiliations
  • Department of Pediatrics, New York University Grossman School of Medicine, New York, NY 10016, USA
  • New York University (US)
Corresponding author
Kannan, Kurunthachalam
Venue
Toxics
Publisher
MDPI AG
Published
2022-11-12
Volume
10
Issue
11
Pages
687
ISSN
2305-6304 (ISSN-L)
OpenAlex
W4308969756
Cited by
37
References
28
Citations by year
2026: 10 · 2025: 10 · 2024: 10 · 2023: 6 · 2014: 1
FWCI
2.96
Type
journal article
Language
en
Open access
Locations
  • Toxics (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
National Institute of Environmental Health Sciences (U2CES026542)
Topics
  • Physical Sciences › Chemistry › Analytical Chemistry › Analytical chemistry methods development
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
  • Physical Sciences › Chemistry › Spectroscopy › Analytical Chemistry and Chromatography
Keywords
steroid hormones, human serum, human urine, liquid chromatography-tandem mass spectrometry, liquid-liquid extraction, isotope-labeled internal standards, corticosteroids, sex hormones, matrix effects, detection frequency, method validation, sample preparation optimization

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review