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1.
Rapid Commun Mass Spectrom ; 36(17): e9345, 2022 Sep 15.
Artigo em Inglês | MEDLINE | ID: mdl-35737595

RESUMO

RATIONALE: Assessing estrogen concentrations in biological systems can provide valuable information on physiological processes, which is crucial for the early diagnosis of many diseases. Because estrogens are present in the human body in low concentrations and in a wide dynamic range, analytical methods with high sensitivity and specificity are required for their determination in complex biological matrices. METHODS: To discover an appropriate derivatization reagent for estrogen mass spectrometry (MS) analysis, we compared five sulfonyl chloride derivatization reagents, namely 3-methyl-8-quinolinesulfonyl chloride (MQSCl) and 8-quinolinesulfonyl chloride (QSCl), 1-methyl-1H-pyrazole-4-sulfonyl chloride, 1,2-methyl-imidazole-5-sulfonyl chloride, and dansyl chloride. By selecting the derivatization reagent with the best performance, we developed and validated a novel chemical derivatization-assisted-liquid chromatography-electrospray ionization-tandem mass spectrometry (CD-LC-ESI-MS/MS) method to simultaneously determine the concentrations of estrone, estradiol, and estriol (E1, E2, and E3) in human serum. RESULTS: It was found that among the five investigated reagents, MQSCl-derivatized estrogens presented the highest sensitivity using LC-ESI-MS/MS. Based on this discovery, MQSCl was chosen to derivatize the analyzed estrogens to assist LC-ESI-MS/MS analysis. The limit of quantification of E1, E2, and E3 was measured as 2.7, 4.6, and 5.1 pg/mL, respectively. Inter- and intra-day precision, expressed as the coefficient of variation, was shown to be lower than 13.2% for all concentrations. The mean recovery was 72.4% overall, with good reproducibility at low, medium, and high concentrations in the calibration range. CONCLUSIONS: The developed method was successfully applied to the quantitative determination of estrogens in clinical human serum from pediatric and adult women, demonstrating the suitability of estrogen analysis in the biological matrix at low concentration (pg/mL).


Assuntos
Estrogênios , Espectrometria de Massas em Tandem , Adulto , Criança , Cromatografia Líquida/métodos , Estrogênios/química , Feminino , Humanos , Reprodutibilidade dos Testes , Espectrometria de Massas por Ionização por Electrospray/métodos , Espectrometria de Massas em Tandem/métodos
2.
Talanta ; 229: 122223, 2021 Jul 01.
Artigo em Inglês | MEDLINE | ID: mdl-33838765

RESUMO

Short-chain fatty alcohols (SCFAs) are one of the reactants for the production of biodiesels. The SCFA residues at the trace level have a significant impact on biodiesel quality. However, the analysis of SCFAs in aged biodiesels has not been reported so far, which is probably due to the unavailability of an appropriate analytical method for the simultaneous determination of SCFAs. Herein, we developed a novel analytical approach with high sensitivity and selectivity for the simultaneous identification and determination of SCFAs in seed oil and biodiesel samples during the simulated real-time aging by stable isotope labeling assisted liquid chromatography-mass spectrometry (SIL-LC-MS). A pair of isotope labeling reagents, pyridine (Py) and [2H5]pyridine ([2H5]Py), were used to label SCFAs in biodiesels and standards, respectively. The [2H5]Py labeled SCFAs were used as internal standards to compensate for the detection of variances. The simultaneous determination of SCFAs was performed by LC-MS with an improved detection selectivity and sensitivity. The limits of detection (LODs) values were ranged from 0.2 to 0.5 ng mL-1 for the investigated SCFAs. Good linearity was observed in the studied ranges (R2 > 0.99) and good precision with relative standard deviations (RSDs) was in the range of 4.9-18.1%. Average recoveries were obtained in the range of 80.3%-115.4%. The matrix effects were in the range of 70.0-104.3%. The validated SIL-LC-MS method was applied to the simultaneous quantitative analysis of SCFAs in seed oil and biodiesel samples and the LC-MS analysis could be done within 3 min. The formation mechanism of SCFAs in aged oil and biodiesel samples was also investigated by this method. The results suggest that SCFAs were formed and their composition changed during the simulated real-time aging of long-chain fatty acid (LCFA), long-chain fatty acid methyl ester (FAME), seed oil, and biodiesels. Moreover, we found that the formation of 1-pentanol and 1-hexanol was associated with the number and position of double bonds in LCFAs and FAMEs.

3.
Nat Prod Bioprospect ; 9(3): 201-208, 2019 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-30968349

RESUMO

A sensitive and rapid high performance liquid chromatography-mass spectrometry (HPLC-MS) method was developed and validated for simultaneous quantification of ten steroid hormones, including estrogens, androgens, progesterones, and corticosteroids four classes of steroids. The following ten steroid hormones were analyzed: progesterone, 21-deoxycortisol, estrone, 4-androstenedione, testosterone, dihydro-testosterone, androstenone, dehydroepiandrosterone, corticosterone and cortisone. Stable deuterated isotopes were used as internal standards for quantification. Sample preparation with and without derivatization were performed after liquid-liquid extraction, and the corresponding results were compared according to sensitivity and selectivity. Hydroxylamine derivatization was found to improve the ionization efficiency of the analytes for electrospray ionization MS analysis. The gradient of mobile phase and experimental parameters for HPLC separation were optimized. The lower limits of quantification were in the range of 0.05-5 ng mL-1 with wide linear range for the ten steroid hormones. The intra-day precision < 11.1% and recovery of 84.5-120% with negligible matrix effect were achieved, where within the acceptance limits of the FDA guideline. Total HPLC-MS analysis time was 6 min. This method enables simultaneous quantification of steroids in human serum. It will be helpful for the serum steroid profiling in order to understand various endocrinology diseases.

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