Literature DB >> 28263611

Field-Free Atmospheric Pressure Photoionization-Liquid Chromatography-Mass Spectrometry for the Analysis of Steroids within Complex Biological Matrices.

Ross D McCulloch1, Damon B Robb1.   

Abstract

A comparison study is presented in which the relative performance of a new orthogonal geometry field-free atmospheric pressure photoionization (FF-APPI) source was evaluated against both electrospray ionization (ESI) and atmospheric pressure chemical ionization (APCI) for the analysis of a small panel of clinically relevant steroids, spiked within various complex biological matrices. Critical performance factors like sensitivity and susceptibility to matrix effects were assessed using a simple, isocratic, high-throughput LC-MS workflow. FF-APPI was found to provide the best performance in terms of both sensitivity and detection limit for all of the steroids included in the survey. Order-of-magnitude sensitivity advantages were realized for some low polarity analytes including both estradiol and estrone. A robust linear regression, post extraction addition method was used to evaluate the relative impact of matrix effects upon each ionization method using protein precipitated human serum, plasma and Surine (simulated urine) as standard clinical matrices. Under conditions optimized for sensitivity, both the field-free APPI and APCI sources were found to provide similarly high resistance to matrix suppression effects, while ESI performance was impacted the most dramatically. For the prototype FF-APPI source, a strong relationship was established between optimizable source parameters and the degree of ion suppression observed. Through careful optimization of vaporization temperature and nebulizer gas pressure it was possible to significantly reduce or even eliminate the impact of matrix effects, even for high-throughput LC-MS methods.

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Year:  2017        PMID: 28263611     DOI: 10.1021/acs.analchem.7b00157

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  2 in total

1.  A sensitive and robust UPLC-MS/MS method for quantitation of estrogens and progestogens in human serum.

Authors:  Junmei Zhang; Chenxiao Tang; Patrick J Oberly; Margaret B Minnigh; Sharon L Achilles; Samuel M Poloyac
Journal:  Contraception       Date:  2019-01-24       Impact factor: 3.375

2.  Establishing a quantitative fluorescence assay for the rapid detection of kynurenine in urine.

Authors:  Kamlesh Patel; Marcos Fernandez-Villamarin; Craig Ward; Janet M Lord; Peter Tino; Paula M Mendes
Journal:  Analyst       Date:  2022-05-03       Impact factor: 5.227

  2 in total

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