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EnglishBackground: The simultaneous quantification of a steroid hormones panel provides more clinical information than a single steroid assay. Traditionally, steroids have been quantified with immunoassays which are characterized by high rate of positive results. Aim of this work, was to develop a TurboFlow-LC-MS/MS method for the simultaneous quantification of 17-hydroxyprogesterone, androstenedione, cortisol and testosterone in serum. Methods: To 100 mu L of serum, 100 mu L of internal standard solution in methanol were added; after centrifugation the supernatant was injected in the TurboFlow for further purification. Steroids were determined using a TSQ Vantage operating with an atmospheric pressure chemical ionization source. Method was fully validated and results compared with immunoassay methods. Results: Limit of quantification ranged from 0.02 ng/mL to 1 ng/mL. The precision was lower than 11% and accuracy ranged from 93.5 to 121.6%. The correlation was acceptable for all analytes except for low levels of testosterone. However, the Bland-Altman plots display a positive bias for androstenedione and 17-hydroxyprogesterone, and a negative bias for cortisol and testosterone. Conclusions: TurboFlow analysis provides a simple and effective clean-up procedure minimizing the interference of the matrix. The presented method is selective, precise, and sensitive being suitable in a clinical laboratory.
Gervasoni, J., Schiattarella, A., Primiano, A., Ilaria, D., Andrea, C., Zuppi, C., Persichilli, S., Simultaneous quantification of 17-hydroxyprogesterone, androstenedione, testosterone and cortisol in human serum by LC-MS/MS using TurboFlow online sample extraction, <<CLINICAL BIOCHEMISTRY>>, 2016; 49 (13-14, SI): 998-1003. [doi:10.1016/j.clinbiochem.2016.05.012] [http://hdl.handle.net/10807/94592]
| Autori: | |
| Titolo: | Simultaneous quantification of 17-hydroxyprogesterone, androstenedione, testosterone and cortisol in human serum by LC-MS/MS using TurboFlow online sample extraction |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1016/j.clinbiochem.2016.05.012 |
| Data di pubblicazione: | 2016 |
| Abstract: | Background: The simultaneous quantification of a steroid hormones panel provides more clinical information than a single steroid assay. Traditionally, steroids have been quantified with immunoassays which are characterized by high rate of positive results. Aim of this work, was to develop a TurboFlow-LC-MS/MS method for the simultaneous quantification of 17-hydroxyprogesterone, androstenedione, cortisol and testosterone in serum. Methods: To 100 mu L of serum, 100 mu L of internal standard solution in methanol were added; after centrifugation the supernatant was injected in the TurboFlow for further purification. Steroids were determined using a TSQ Vantage operating with an atmospheric pressure chemical ionization source. Method was fully validated and results compared with immunoassay methods. Results: Limit of quantification ranged from 0.02 ng/mL to 1 ng/mL. The precision was lower than 11% and accuracy ranged from 93.5 to 121.6%. The correlation was acceptable for all analytes except for low levels of testosterone. However, the Bland-Altman plots display a positive bias for androstenedione and 17-hydroxyprogesterone, and a negative bias for cortisol and testosterone. Conclusions: TurboFlow analysis provides a simple and effective clean-up procedure minimizing the interference of the matrix. The presented method is selective, precise, and sensitive being suitable in a clinical laboratory. |
| Lingua: | Inglese |
| Rivista: | |
| Citazione: | Gervasoni, J., Schiattarella, A., Primiano, A., Ilaria, D., Andrea, C., Zuppi, C., Persichilli, S., Simultaneous quantification of 17-hydroxyprogesterone, androstenedione, testosterone and cortisol in human serum by LC-MS/MS using TurboFlow online sample extraction, <<CLINICAL BIOCHEMISTRY>>, 2016; 49 (13-14, SI): 998-1003. [doi:10.1016/j.clinbiochem.2016.05.012] [http://hdl.handle.net/10807/94592] |
| Appare nelle tipologie: | Articolo in rivista, Nota a sentenza |
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