2016
DOI: 10.1002/jms.3896
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Development and application of a UHPLC‐MS/MS method for the simultaneous determination of 17 steroidal hormones in equine serum

Abstract: A new, fast and simple analytical method that is able to identify and quantify simultaneously 17 steroid hormones and metabolites (pregnenolone, 17-OH-pregnenolone, progesterone, 17-OH-progesterone, androsterone, androstenedione, dehydroepiandrosterone, dehydroepiandrosterone sulfate, testosterone, cortisol, corticosterone, aldosterone, 11-deoxycortisol, 11-deoxycorticosterone, dihydrotestosterone, estrone and estradiol) has been developed in equine serum using the ultra-high-performance liquid chromatography-… Show more

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Cited by 28 publications
(27 citation statements)
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“…However, the majority of the published LC-MS methods have been developed for the analysis of steroids from serum samples. These include also very sensitive methods; some of these tend to have focused only on a few steroids [6,7], while others have examined up to dozens of steroids, but with somewhat greater lower limits of quantification (LLOQ) [8][9][10][11]. There are much fewer methods intended to analyze steroid profiles from different tissues, such as the prostate [12][13][14][15][16].…”
Section: Accepted Manuscriptmentioning
confidence: 99%
“…However, the majority of the published LC-MS methods have been developed for the analysis of steroids from serum samples. These include also very sensitive methods; some of these tend to have focused only on a few steroids [6,7], while others have examined up to dozens of steroids, but with somewhat greater lower limits of quantification (LLOQ) [8][9][10][11]. There are much fewer methods intended to analyze steroid profiles from different tissues, such as the prostate [12][13][14][15][16].…”
Section: Accepted Manuscriptmentioning
confidence: 99%
“…According to the FDA definition, when no blank matrix is available, it may be impossible to find a matrix similar to the sample without the target analytes, because they are ubiquitous substances, such as hormones [55] in plasma or serum. But in practice, a blank matrix may be unavailable simply because quantities are limited, for example in the case of cerebrospinal fluid (CSF) [56] or previous samples.…”
Section: Compensating For Mesmentioning
confidence: 99%
“…The use of surrogate matrix could be a useful approach, especially for such biological matrices as urine [71][72][73], serum [55,70], and cerebrospinal fluid [74]. Surrogate matrices reported in the literature are neat solvent, stripped and artificial matrices.…”
Section: Case Study Ii: the Blank Matrix Is Not Availablementioning
confidence: 99%
“…The investigators at NIST have revealed the photosensitivity of progesterone, which must be considered during sample handling, which in their case includes a pH adjustment (pH 9.8) followed by hexane LLE (Tai et al, 2006). The m / z transition used for +ESI multiple reaction monitoring (MRM) (314.8 ➔ 97.1) is the same as or similar to what is used in many other progesterone assays moving forward (Desai, Harwood, & Handelsman, 2019; Farke et al, 2011; Gaikwad, 2013; Galligan et al, 2018; Gao et al, 2015; Genangeli et al, 2017; Gibson, Bucknall, Golebiowski, & Stapleton, 2019; Gomez‐Gomez et al, 2020; Häkkinen et al, 2018; Higashi et al, 2011; Lee, Lee, Hong, Chung, & Choi, 2016; McCulloch & Robb, 2017; Olisov et al, 2019; Schiffer, Adaway, Baranowski, Arlt, & Keevil, 2018; Surowiec, Koc, Antti, Wikström, & Moritz, 2011; Tai et al, 2006; Voegel et al, 2018; Zhou & Cai, 2020).…”
Section: Progesterone Bioanalysismentioning
confidence: 99%
“…The relative “cleanliness” of the plasma and serum matrices allows some investigators to rely on protein precipitation alone to prepare samples for LC–MS/MS. Not surprisingly, the most frequently used solvents include methanol (Broccardo et al, 2013; McCulloch & Robb, 2017; Xu et al, 2017) and acetonitrile (Subhash Chandra Bose et al, 2013; Genangeli et al, 2017). The relevance of this approach is emphasized by the fact that most testosterone in circulation is protein bound (Tai et al, 2007).…”
Section: Matrices and Sample Preparationmentioning
confidence: 99%