2006
DOI: 10.1016/j.chroma.2006.03.119
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Experimental design considerations in quantification experiments by using the internal standard technique: Cholesterol determination by gas chromatography as a case study

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Cited by 26 publications
(17 citation statements)
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“…higher efficiency) and hence, being timesaving, especially as the number of experimental variables increases (Ferreira et al, 2004(Ferreira et al, , 2007Araujo et al, 2006). Doehlert design has been utilized for optimizing chromatographic/ detector conditions (Tak et al, 2007), determining optimal levels of internal standards for quantification (Araujo et al, 2006) and foremost for optimizing DI-SPME/HS-SPME for analyzing a variety of analytes (Aguilar et al, 1999;Navalón et al, 2002a;Pizarro et al, 2007).…”
Section: Introductionmentioning
confidence: 99%
“…higher efficiency) and hence, being timesaving, especially as the number of experimental variables increases (Ferreira et al, 2004(Ferreira et al, , 2007Araujo et al, 2006). Doehlert design has been utilized for optimizing chromatographic/ detector conditions (Tak et al, 2007), determining optimal levels of internal standards for quantification (Araujo et al, 2006) and foremost for optimizing DI-SPME/HS-SPME for analyzing a variety of analytes (Aguilar et al, 1999;Navalón et al, 2002a;Pizarro et al, 2007).…”
Section: Introductionmentioning
confidence: 99%
“…In a recent comparative study between the internal standard and the traditional calibration method by using LCMS/MS [9], it is reported that the degree of ionization in the electro-spray ion source is strongly dependent on the amount of molecules resulting in a non-linearity in the concentration/response ratio. It must be said, that several quantitative studies [10][11][12] have demonstrated the variability of the RF as a direct result of varying the analyte and internal standard concentrations indicating clearly that among the possible variables affecting the RF accuracy, the interaction analyte/internal-standard could play an important role which is generally omitted in quantification studies.…”
Section: Response Factor Accuracy and Recoverymentioning
confidence: 99%
“…A possible answer to the former question could be the application of trial and error methods or rules of thumb techniques such as targeting the internal standard to the lower 1/3 of the working standard curve [4][5] but to the latter question no answer has been given as yet. We have recently proposed a general method to determine a region where the RF does not change with changes in the analyte and internal standard concentrations [6] and have pointed out the potential applicability of this method in the analysis of biomedical samples.…”
Section: Introductionmentioning
confidence: 99%