Capillary electrochromatography and nano‐liquid chromatography coupled to nano‐electrospray ionization interface for the separation and identification of estrogenic compounds

D’Orazio, Giovanni; Hernández-Borges, Javier; Asensio-Ramos, María; Rodríguez‐Delgado, Miguel Ángel; Fanali, Salvatore

doi:10.1002/elps.201500327

Cited by 15 publications

(6 citation statements)

References 42 publications

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“…D'Orazio et al. proposed the hyphenation with MS by nanospray or pressurized liquid‐junction (L‐J) interface for the separation of 11 estrogenic compounds. Under the optimized conditions, the baseline separation of the target compounds was achieved in less than 20 min in nano‐LC‐MS and less than 13 min in CEC‐MS.…”

Section: Detectionmentioning

confidence: 99%

Recent advances in microscale separation

et al. 2017

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Recent advances in microscale separationThis review focuses on the recent advances on microscale separation technology, particularly on the new development on column and detection technologies in electrophoretic and chromatographic separation modes (i.e., CE, CEC, cLC, etc.). Representative examples illustrate also applications on the small molecules, peptides, proteins, polysaccharides, chiral and so on. 246 relevant articles are cited covering the literature published

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Section: Detectionmentioning

confidence: 99%

Recent advances in microscale separation

et al. 2017

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“…However, when appropriate experimental conditions are selected, larger volumes can be injected utilizing the focusing effect to increase the sensitivity (D'Orazio et al, 2016b;Fanali et al, 2015a).…”

Section: Effect Of Column Internal Diameter On Chromatographic Efficimentioning

confidence: 99%

“…The cost and the still low availability of commercial capillary columns force most researchers to prepare packed columns by themselves (Fanali et al, 2012a,b;Blue and Jorgenson, 2015;D'Orazio et al, 2016b). However, packing and retaining an SP in narrow-bore capillaries can be quite difficult and requires dedicated apparatuses, as well as a certain experience, to warrant a good stability and reproducibility between columns.…”

Section: Packed Capillary Columnsmentioning

confidence: 99%

“…Most of the articles regard the analysis of pesticides (Asensio-Ramos et al, 2011;Moliner-Martínez et al, 2011b;Gure et al, 2013;Otieno et al, 2013;Lerma-García et al, 2013;Berlioz-Barbier et al, 2014), but also other emerging pollutants have been determined with miniaturized techniques, such as perfluorinated compounds (Berlioz-Barbier et al, 2014;Onghena et al, 2012), phthalates (JornetMartínez et al, 2014;Muñoz-Ortuño et al, 2014), or hormones (Berlioz-Barbier et al, 2014;D'Orazio et al, 2016b;Kozlík et al, 2011), most of them in simple matrices (different types of waters). In a few other examples, pesticides (Otieno et al, 2013) and di-(2-ethylhexyl) phthalate were determined in sediments, multiclass emerging pollutants in benthic invertebrates (Berlioz-Barbier et al, 2014), carbonyl compounds in wastewater filters, and biocides in industrial formulations (Prieto-Blanco et al, 2016).…”

Section: Environmental Analysismentioning

confidence: 99%

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Theory and Practice of UHPLC and UHPLC–MS

Guillarme

Veuthey

2017

Handbook of Advanced Chromatography /Mass Spectrometry Techniques

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“…The University of San Pablo published 3 papers in 2016 [125][126][127] using multiple mass spectrometry based untargeted technologies [LC-MS, CE-MS and GC-MS] to create large data rich metabolomics profiles in plasma [125], serum [126] and from cell culture [127] to identify biomarkers in obesity and hypercholes- terolemia. D'Orazio et al [121] compared nano LC and CE-MS to quantitatively measure estrogenic metabolites from mineral water. These nano techniques were used to minimize sample volumes and reagent costs.…”

Section: Technology and Protocolsmentioning

confidence: 99%

Capillary electrophoresis mass spectrometry based metabolomics

Buko¹

2017

J Appl Bioanal

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IntroductionSince its first formal definition more than a decade ago, metabolomics, or, the comprehensive analysis of all metabolites present within a biological system, has attracted growing interest in clinical research by academia, industry and government labs. This is most prevalent in biomarker and drug development applications where a considerable change has been witnessed in how new diagnoses, prognoses, and therapeutic options are being discovered and developed using omic technologies. Moreover, many chronic diseases suggest a strong metabolic involvement or even a clear metabolic cause, including cancer. Together with the other omic disciplines, including genomics and proteomics, metabolomics plays a key role in the implementation of personalized medicine; evidence-based medicine designed for individually designed healthcare strategies. In turn, biomarker discovery and the understanding of biochemical pathways typically rely on a multimodal approach. Among these modalities, there continues to be a growing interest in CE-MS based development and implementation in clinical development. Formulating the problemDepending on how you classify the metabolome, there is a complex chemical space separated by hydrophilicity, polarity and size, excluding a broad range of metabolites classified as lipids, separately referred to as lipidomics. This class of metabolites also covers a large range of physical properties for which specifically designed platforms work the best. For example, for years liquid chromatography-mass spectrometry (LC-MS) has been used to capture a host of hydrophilic and hydrophobic metabolites, while gas chromatography-mass spectrometry (GC-MS) has been used to capture small molecular weight metabolites. For this review, the metabolome refers to endogenous molecules with a molecular weight typically less than 1000 Kd. To measure, catalogue, and compare the entirety of the metabolic space, the implementation of comprehensive mass spectral databases was needed (e.g., Human Metab- Because of this diversity in physical properties and size of the metabolome in biological systems, there has been a need for the development of several analytical protocols based on different chromatographic methods to select specific subgroups of metabolites based on these different chemical properties beyond the technical capabilities of LC-MS and GC-MS. These new methods have their own advantages for selecting specific types of molecules: lipids, nucleotides, aminoacids or steroids. Nonmass spectrometric methods such as nuclear magnetic resonance (NMR) and non-chromatographic methods such as matrix-assisted laser desorption-time of flight (MALDI-TOF) imaging are successfully being used for selected metabolomic analyses. The focus of this review is recent publications that use CE-MS to extend the polar metabolome beyond what is observed by LC-MS and GC-MS. Metabolomics -current methods

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Capillary electrochromatography and nano‐liquid chromatography coupled to nano‐electrospray ionization interface for the separation and identification of estrogenic compounds

Cited by 15 publications

References 42 publications

Recent advances in microscale separation

Recent advances in microscale separation

Theory and Practice of UHPLC and UHPLC–MS

Capillary electrophoresis mass spectrometry based metabolomics

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