M.C. García‐Álvarez‐Coque

Universitat de València

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J.R. Torres‐Lapasió

Universitat de València

130

M.J. Ruiz-Ángel

Universitat de València

J.J. Baeza-Baeza

Universitat de València

Samuel Carda‐Broch

Universitat Jaume I

M.J. Medina-Hernández

Universitat de València

G.Ramis Ramos

Instituto Politécnico Nacional

Josep Esteve‐Romero

Universitat Jaume I

Guillermo Ramis‐Ramos

Universitat de València

C. Ortiz‐Bolsico

Universitat de València

R. M. Villanueva Camañas

Universitat de València

Cooperative Institutions

Universitat de València

Universitat de Barcelona

Universitat Jaume I

Czech Academy of Sciences, Institute of Analytical Chemistry

University of Florida

Universidade de São Paulo

Vrije Universiteit Brussel

Parc Científic de la Universitat de València

Iowa State University

Universitat de les Illes Balears

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Characterization of chromatographic peaks using the linearly modified Gaussian model. Comparison with the bi-Gaussian and the Foley and Dorsey approaches

Journal of Chromatography A (2017)

J.J. Baeza-Baeza M.C. García‐Álvarez‐Coque

10.1016/j.chroma.2017.07.087

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Citations (4)

Analysis of Urine Samples Containing Cardiovascular Drugs by Micellar Liquid Chromatography with Fluorimetric Detection

Journal of Chromatographic Science (1999)

Samuel Carda‐Broch Inmaculada Rapado-Martínez Josep Esteve‐Romero M.C. García‐Álvarez‐Coque

A simple direct injection chromatographic procedure with fluorimetric detection is successfully applied to the determination of mixtures of 4 diuretics (amiloride, bendroflumethiazide, piretanide, and triamterene) and 6 β-blockers (acebutolol, atenolol, labetalol, metoprolol, nadolol, and propranolol), which are usually administered in combinations for the treatment of hypertension, in urine samples. The procedure makes use of C18 columns and micellar mobile phases of sodium dodecyl sulphate (SDS), propanol, and phosphate buffer at pH 3. The adequate resolution of most drugs is obtained with a chemometrics approach where the retention is modeled as a first step using the retention factors in only 5 mobile phases. Afterward, an optimization criterion that takes into account the position and shape of the chromatographic peaks is applied. A mobile phase of 0.11M SDS—8% propanol could resolve mixtures of 8 drugs and was adequate for the analysis of the combinations of diuretic and β-blocker usually prescribed. However, a mobile phase of larger elution strength, such as 0.15M SDS—15% propanol, is preferred for the analysis of mixtures of amiloride—metoprolol, amiloride—labetalol, and triamterene—propranolol. The method is sensitive enough for the routine analysis of diuretics and β-blockers at therapeutic urine levels with limits of detection in the 0.5–28-ng/mL range. Urinary excretion studies show that the detection of most drugs is possible up to 24–72 h after their ingestion.

Triamterene

Atenolol

Amiloride

Micellar liquid chromatography

Labetalol

10.1093/chromsci/37.4.93

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The Role of the Anion in Aqueous Liquid Chromatography with Mobile Phases Ofsodium Dodecyl Sulphate and Imidazolium-Based Ionic Liquids

M.C. García‐Álvarez‐Coque C.J. Tereba-Mamani María Blazquez-Mateu M.J. Ruiz-Ángel

In reversed-phase liquid chromatography (RPLC), a nonpolar stationary phase and a more polar hydro-organic mobile phase are employed. Consequently, solute retention is linked to the hydrophobicity of the eluted substances, where the most hydrophobic ones tend to be retained longer. However, in RPLC, ionic interactions might arise between positively charged analytes and the free silanols in the stationary phase, which is often silica-based, impacting retention negatively and resulting in tailing peaks. Addressing these challenges, additives like surfactants and ionic liquids (ILs) have been introduced in the mobile phase. These additives induce secondary equilibria within the chromatographic column, creating a range of interactions that help fine-tune the separation’s selectivity. Notably, establishing a blend of hydrophobic and electrostatic interactions with the analytes can be pivotal. These combined interactions give rise to varied retention mechanisms, significantly impacting elution. This scenario involves mobile phases comprising ionic surfactants, ILs, or their combination. This work forms part of an exploration into the use of mixtures involving the anionic surfactant sodium dodecyl sulphate beyond its critical micellar concentration and an IL derived from 3‑methyl-imidazolium. The objective is to conduct liquid chromatography analysis without organic solvents. Specifically, the investigation delves into studying the effects of altering the anion type within the IL.

10.2139/ssrn.4646597

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Low- and room-temperature phosphorescence characteristics of some pharmaceutical compounds

Journal of Pharmaceutical and Biomedical Analysis (1989)

I.M. Khasawneh M.C. García‐Álvarez‐Coque G.Ramis Ramos J. D. Winefordner

Filter paper

10.1016/0731-7085(89)80064-0

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Citations (6)

Half-width plots, a simple tool to predict peak shape, reveal column kinetics and characterise chromatographic columns in liquid chromatography: State of the art and new results

Journal of Chromatography A (2013)

J.J. Baeza-Baeza M.J. Ruiz-Ángel M.C. García‐Álvarez‐Coque Samuel Carda‐Broch

10.1016/j.chroma.2013.09.022

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Citations (46)

Micellar Liquid Chromatography: Method Development and Applications

M.C. García‐Álvarez‐Coque M.J. Ruiz-Ángel Samuel Carda‐Broch

Abstract After more than three decades of experience, micellar liquid chromatography ( MLC ) seems to be an alternative to conventional reversed phase liquid chromatography ( RPLC ) with hydro‐organic mobile phases, with increasing interest in “green” chemistry. Most MLC procedures use hybrid micellar mobile phases containing a surfactant (frequently sodium dodecyl sulfate) above the critical micellar concentration and a relatively small amount of organic solvent to increase the elution strength and improve the efficiencies. Practical indications a chromatographer should consider in MLC when developing an analytical procedure, related to the mobile‐phase preparation and the cautions with the stationary phase, are discussed. The retention models to be considered for optimizing the best experimental conditions, taking the concentrations of surfactant and organic solvent and the pH as factors, and the diverse detection modes that have been used in MLC are described. The direct injection capability of MLC after simple filtration is highlighted. A compilation of analytical methods in MLC is given, mainly related to the determination of drugs in formulations and physiological fluids, oriented to follow the parent drug and/or its metabolites.

Micellar liquid chromatography

Sodium dodecyl sulfate

Analytical procedures

10.1002/9783527678129.assep018

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Citations (18)

A compound of iron(II), phenylbiguanide and cyanide

Talanta (1982)

J. Martı́nez Calatayud F. Bosch Reig M.C. García‐Álvarez‐Coque

Absorbance

10.1016/0039-9140(82)80037-4

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Citations (3)

Performance of different C18 columns in reversed-phase liquid chromatography with hydro-organic and micellar-organic mobile phases

Journal of Chromatography A (2014)

M.J. Ruiz-Ángel S. Pous-Torres Samuel Carda‐Broch M.C. García‐Álvarez‐Coque

Micellar liquid chromatography

Cationic polymerization

10.1016/j.chroma.2014.04.011

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Citations (23)

Analysis and classification of tea varieties using high-performance liquid chromatography and global retention models

Journal of Chromatography A (2024)

Pau Peiró-Vila Carla Pérez-Gracia J.J. Baeza-Baeza M.C. García‐Álvarez‐Coque J.R. Torres‐Lapasió

As a result of their metabolic processes, medicinal plants produce bioactive molecules with significant implications for human health, used directly for treatment or for pharmaceutical development. Chromatographic fingerprints with solvent gradients authenticate and categorise medicinal plants by capturing chemical diversity. This work focuses on optimising tea sample analysis in HPLC, using a model-based approach without requiring standards. Predicting the gradient profile effects on full signals was the basis to identify optimal separation conditions. Global models characterised retention and bandwidth for 14 peaks in the chromatograms across varied elution conditions, facilitating resolution optimisation of 63 peaks, covering 99.95 % of total peak area. The identified optimal gradient was applied to classify 40 samples representing six tea varieties. Matrices of baseline-corrected signals, elution bands, and band ratios, were evaluated to select the best dataset. Principal Component Analysis (PCA), k-means clustering, and Partial Least Squares-Discriminant Analysis (PLS-DA) assessed classification feasibility. Classification limitations were found reasonable due to tea processing complexities, involving drying and fermentation influenced by environmental conditions.

Gradient elution

Chemometrics

10.1016/j.chroma.2024.465128

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Citations (3)

Performance of global retention models in the optimisation of the liquid chromatographic separation (II): Complex multi-analyte samples

Analytica Chimica Acta (2024)

Pau Peiró-Vila J.R. Torres‐Lapasió M.C. García‐Álvarez‐Coque

Enhancing the quality control of medicinal plants is a complex challenge due to their rich variety of chemical compounds present at varying and extreme concentrations. Chromatographic fingerprints, which have become essential for characterising these complex natural materials, require achieving optimal separation conditions to effectively maximise the number of detected peaks. The challenges in optimising fingerprints and other complex multi-analyte samples include the unavailability of standards, the presence of unknown constituents and the substantial workload that would require conventional optimisation methods based on models.

Unavailability

Chromatographic Separation

Separation (statistics)

10.1016/j.aca.2024.343019

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Citations (3)