Simple and accurate candidate reference measurement procedure for total testosterone in human serum by one-step liquid-liquid extraction coupled with isotope dilution mass spectrometry

Chen, Yizhao; Teo, Hui Ling; Hong, Liu; Loh, Tze Ping; Liu, Qinde; Teo, Tang Lin; Lee, Tong Kooi; Sethi, Sunil

doi:10.1007/s00216-019-02152-y

Cited by 7 publications

(3 citation statements)

References 21 publications

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“…Isotope dilution mass spectrometry (IDMS) is widely recognized as one of the most accurate methods for high-order reference measurement procedure (RMP) and has been witnessed many elaborations and developments over the years [21][22][23][24][25]. However, only a few publications dealt with IDMS measurement uncertainty [26][27][28][29][30]. In most of these publications, the measurement uncertainties were determined according to the relative standard uncertainties of several main factors.…”

Section: Introductionmentioning

confidence: 99%

“…Testosterone is the key male sex hormone which regulates sexual differentiation and promotes first and secondary sexual characteristics [30]. The high-order RMPs for total testosterone in human serum are based on IDMS according to the Joint Committee for Traceability in Laboratory Medicine (JCTLM) database.…”

Section: Introductionmentioning

confidence: 99%

“…The high-order RMPs for total testosterone in human serum are based on IDMS according to the Joint Committee for Traceability in Laboratory Medicine (JCTLM) database. As a criteria for the reliability of the RMPs for total testosterone in human serum, the measurement uncertainties were calculated by combining the relative standard uncertainties of several main factors [30,32,33]. In this study, the aMCM was proposed for the uncertainty evaluation of a RMP for total testosterone in human serum.…”

Section: Introductionmentioning

confidence: 99%

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Application of the adaptive Monte Carlo method for uncertainty evaluation in the determination of total testosterone in human serum by triple isotope dilution mass spectrometry

Liu,

Wang,

Han

et al. 2024

Anal Bioanal Chem

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The measurement uncertainty is a crucial quantitative parameter for assessing the reliability of the result. The study aimed to propose a new budget for uncertainty evaluation of a reference measurement procedure for the determination of total testosterone in human serum. The adaptive Monte Carlo method (aMCM) was used for the propagation of probability distributions assigned to various input quantities to determine the uncertainty of the testosterone concentration. The basic principles of the propagation and the statistical analysis were described based on the experimental results of the quality control serum sample. The analysis of the number of Monte Carlo trials was discussed. The procedure of validation of the GUM uncertainty framework using the aMCM was also provided. The number of Monte Carlo trials was 2.974 × 106 when the results had stabilized. The total testosterone concentration was 16.02 nmol/L, and the standard uncertainty was 0.30 nmol/L. The coverage interval at coverage probability of 95% was 15.45 to 16.62 nmol/L, while the probability distribution for testosterone concentration was approximately described by a Gaussian distribution. The validation of results was not passed as the expanded uncertainty result obtained by the aMCM was slightly lower, about 7%, than that by the GUM uncertainty framework with consistent results of the concentration. Graphical Abstract

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