Literature DB >> 25543147

Ultra-high-performance liquid chromatography-tandem mass spectrometry for the analysis of free and conjugated natural estrogens in cow milk without deconjugation.

Anna Laura Capriotti1, Chiara Cavaliere, Patrizia Foglia, Roberto Samperi, Serena Stampachiacchiere, Salvatore Ventura, Aldo Laganà.   

Abstract

A sensitive liquid chromatography/electrospray ionization-tandem mass spectrometry method for the determination of free and conjugated estrogens in cow milk is described. Milk samples were diluted with water and then extracted and cleaned up by solid-phase extraction using graphitized carbon black as adsorbent material, without any enzymatic cleavage, derivatization, and/or protein precipitation step. Two fractions were collected (free and conjugated estrogens) and analyzed separately. Mass spectrometry analysis was performed in negative ion mode using selected reaction monitoring acquisition mode. For all compounds, the coefficients of determination (R(2)) ranged between 0.9892 and 0.9997. Analytical recoveries were in the range of 86-109% for free estrogens and 85-118% for conjugates, with relative standard deviations below 10%, and the method detection limit ranged between 3 and 80 ng L(-1). Finally, the developed method was used to determine the presence of free and conjugated estrogens in six retail milk samples (five cow milk samples and one goat milk sample) and one goat milk sample provided by a local shepherd. Estrone was found to be the major free estrogen present in commercial milk samples, and estrone 3-sulfate showed the highest concentration among the target conjugated estrogens. Estriol was also observed in some analyzed milk samples, but the concentrations were always below the limit of quantification.

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Year:  2014        PMID: 25543147     DOI: 10.1007/s00216-014-8398-z

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  3 in total

1.  Analysis of Naturally Occurring Steroid Hormones in Infant Formulas by HPLC-MS/MS and Contribution to Dietary Intake.

Authors:  Rocío Barreiro; Patricia Regal; Mónica Díaz-Bao; Cristina A Fente; Alberto Cepeda
Journal:  Foods       Date:  2015-10-22

2.  Optimization of double-vortex-assisted matrix solid-phase dispersion for the rapid determination of paraben preservative residues in leafy vegetables.

Authors:  Chun-Ju Yang; Wu-Hsun Chung; Wang-Hsien Ding
Journal:  RSC Adv       Date:  2020-09-25       Impact factor: 4.036

3.  Dairy, soy, and risk of breast cancer: those confounded milks.

Authors:  Gary E Fraser; Karen Jaceldo-Siegl; Michael Orlich; Andrew Mashchak; Rawiwan Sirirat; Synnove Knutsen
Journal:  Int J Epidemiol       Date:  2020-10-01       Impact factor: 7.196

  3 in total

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