2019
DOI: 10.1016/j.jpba.2019.04.013
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Comparison of isotope pattern deconvolution and calibration curve quantification methods for the determination of estrone and 17β-estradiol in human serum

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Cited by 5 publications
(5 citation statements)
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“…There are many challenges with current calibration practices in clinical mass spectrometry, as discussed above. Internal calibration is a novel approach, which obviates the use of external calibration curves [ 13 , 16 , 37 - 39 ]. Currently, an SIL-IS is commonly used to normalize instrumental responses and attenuate the overall analytical variation caused by random errors, matrix effects, poor recovery, or instrumental drift [ 16 ].…”
Section: Recommendationsmentioning
confidence: 99%
See 2 more Smart Citations
“…There are many challenges with current calibration practices in clinical mass spectrometry, as discussed above. Internal calibration is a novel approach, which obviates the use of external calibration curves [ 13 , 16 , 37 - 39 ]. Currently, an SIL-IS is commonly used to normalize instrumental responses and attenuate the overall analytical variation caused by random errors, matrix effects, poor recovery, or instrumental drift [ 16 ].…”
Section: Recommendationsmentioning
confidence: 99%
“…When an SIL-IS is added to the sample, the altered isotopic abundances represent a mixture of a linear combination of those from naturally occurring isotypes and those from the spiked labeled standards. Multiple linear regression is then used to deconvolute the resulting combined distribution of abundances to obtain their molar fractions [ 37 ]. The concentration of the measurand in the unknown sample is calculated from the ratio of the signals of the unknown analyte to the SIL-IS multiplied by the SIL-analyte concentration equivalent [ 16 ].…”
Section: Recommendationsmentioning
confidence: 99%
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“…Plug-in methods by manufacturers are making the field more robust and increasing its accessibility, and best practice for sampling handling and storage is being addressed formally [68]. However to fully mine the rich multi-profile datasets, engagement with new methods of data handling are needed, for example isotope deconvolution analysis to improve calibration [69]. Harvesting the concept of the "steroid metabolomic profile" [70] requires multi-variate statistical analysis and machine learning has recently been explored to exciting effect in diagnostics of adrenal cancer [15].…”
Section: Data Complexity Validation and Community Standardsmentioning
confidence: 99%
“…To improve laboratory efficiency and make endogenous metabolites’ analysis more accessible and attractive in a clinical environment, alternative calibration methodologies have been proposed. The most recent strategies include reducing the number of calibrants or restricting internal calibration to a limited number of analytes. …”
Section: Introductionmentioning
confidence: 99%