A liquid chromatography-high resolution mass spectrometry (LC-HRMS) method for the simultaneous identification and quantification of 28 benzodiazepines, including 6 metabolites, in 50 mg of hair has been validated. Positive ion electrospray ionization and HRMS determination in full-scan mode were realized on an Orbitrap mass spectrometer at a nominal resolving power of 60,000. In-source collisional experiments were conducted to obtain additional information for a more reliable identification of the investigated drugs. HRMS in full-scan mode allowed the exact determination of molecular masses of all analytes eluting in the HPLC run, so that both the immediate and retrospective screening of results for drugs and their metabolites were available. Sample preparation consisted of an overnight incubation in phosphate buffer pH 8.4 and a subsequent liquid/liquid extraction with methylene chloride/diethyl ether (90:10). Gradient elution was performed on a Luna C18 analytical column and four deuterated analogues were used as internal standards (IS). Validation was performed using both spiked hair samples and hair samples from subjects treated with benzodiazepines. Selectivity was evaluated by analysis of 20 certified blank hair samples. Extraction efficiency and matrix effects were evaluated by analysis of true positive samples. The lowest limits of quantification (LLOQs) ranged from 1 to 10 pg/mg. Linearity was investigated in the range from LLOQ to 1,000 pg/mg, for each compound (R(2) 0.998-0.999). Mean relative errors, calculated at three concentration levels, ranged from 1 to 20% (absolute value). Precision, at concentrations higher than the LLOQs, was always less than 15% expressed as percentage relative standard deviation. After validation, the procedure was applied to real samples collected for clinical and forensic toxicology purposes from subjects who were assumed to have taken benzodiazepines.

Simultaneous LC-HRMS determination of 28 benzodiazepines and metabolites in hair

VOGLIARDI, SUSANNA;FAVRETTO, DONATA;TUCCI, MARIANNA;FERRARA, SANTO
2011

Abstract

A liquid chromatography-high resolution mass spectrometry (LC-HRMS) method for the simultaneous identification and quantification of 28 benzodiazepines, including 6 metabolites, in 50 mg of hair has been validated. Positive ion electrospray ionization and HRMS determination in full-scan mode were realized on an Orbitrap mass spectrometer at a nominal resolving power of 60,000. In-source collisional experiments were conducted to obtain additional information for a more reliable identification of the investigated drugs. HRMS in full-scan mode allowed the exact determination of molecular masses of all analytes eluting in the HPLC run, so that both the immediate and retrospective screening of results for drugs and their metabolites were available. Sample preparation consisted of an overnight incubation in phosphate buffer pH 8.4 and a subsequent liquid/liquid extraction with methylene chloride/diethyl ether (90:10). Gradient elution was performed on a Luna C18 analytical column and four deuterated analogues were used as internal standards (IS). Validation was performed using both spiked hair samples and hair samples from subjects treated with benzodiazepines. Selectivity was evaluated by analysis of 20 certified blank hair samples. Extraction efficiency and matrix effects were evaluated by analysis of true positive samples. The lowest limits of quantification (LLOQs) ranged from 1 to 10 pg/mg. Linearity was investigated in the range from LLOQ to 1,000 pg/mg, for each compound (R(2) 0.998-0.999). Mean relative errors, calculated at three concentration levels, ranged from 1 to 20% (absolute value). Precision, at concentrations higher than the LLOQs, was always less than 15% expressed as percentage relative standard deviation. After validation, the procedure was applied to real samples collected for clinical and forensic toxicology purposes from subjects who were assumed to have taken benzodiazepines.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/133263
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