Selection of background electrolyte for CZE analysis by a chemometric approach

Furlanetto, Sandra; Lanteri, Silvia; Orlandini, Serena; Gotti, Roberto; Giannini, Iacopo; Pinzauti, S.

doi:10.1016/j.jpba.2006.11.034

Cited by 9 publications

(15 citation statements)

References 16 publications

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“…All the beta-blocker drugs (acebutolol hydrochloride (ACE), alprenolol hydrochloride (ALP), atenolol (ATE), labetalol hydrochloride (LAB), metoprolol sodium tartrate (MET), nadolol (NAD), pindolol (PIN), propranolol hydrochloride (PRO)) were purchased from Sigma-Aldrich (St. Louis, MO, USA). All the substances used to prepare background electrolytes (see the first part of the study [1] for a complete list) were from Sigma-Aldrich. Ultrapure water was used throughout the study and was obtained with a Milli-Q system (Millipore/Waters, Milford, MA, USA).…”

Section: Chemicalsmentioning

confidence: 99%

“…Compositions of all considered BGEs (pH range 2-12) are reported in the first part of this study [1]. The standard run buffer (I) employed for the analysis of beta-blockers was prepared adding 50 mL of 0.2N citric acid to 20 mL of 0.2 M NaOH.…”

Section: Solutionsmentioning

confidence: 99%

“…The general capillary electrophoretic conditions (instrumentation, capillaries, capillary washing, injection) were previously described by the authors in the first part of the study [1]. Detection wavelength was 195 nm.…”

Section: Capillary Electrophoretic Conditionsmentioning

confidence: 99%

“…In Part I of this study, 222 possible background electrolytes (objects) were characterized by means of appropriate physico-chemical descriptors: pH, conductivity, ionic strength and relative viscosity [1]. The reduction of this original data set on the basis of pH values was necessary in order to consider only background electrolytes which make it possible the dissociation of the analytes [8][9][10]15] and thus to avoid unnecessary experiments.…”

Section: Reduction Of the Original Data Set Visualization And Selectmentioning

confidence: 99%

“…In Part I of this study [1], a chemometric approach for the selection of a good background electrolyte (BGE) for CZE analysis of small drug molecules was discussed.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Selection of background electrolyte for CZE analysis by a chemometric approach

Furlanetto

Lanteri

Orlandini

et al. 2007

Journal of Pharmaceutical and Biomedical Analysis

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Section: Chemicalsmentioning

confidence: 99%

Section: Solutionsmentioning

confidence: 99%

Section: Capillary Electrophoretic Conditionsmentioning

confidence: 99%

Section: Reduction Of the Original Data Set Visualization And Selectmentioning

confidence: 99%

“…In Part I of this study [1], a chemometric approach for the selection of a good background electrolyte (BGE) for CZE analysis of small drug molecules was discussed.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Selection of background electrolyte for CZE analysis by a chemometric approach

Furlanetto

Lanteri

Orlandini

et al. 2007

Journal of Pharmaceutical and Biomedical Analysis

Self Cite

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Rapid determination of NSAIDs by capillary and microchip electrophoresis with capacitively coupled contactless conductivity detection in wastewater

et al. 2022

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A simple, rapid method using CE and microchip electrophoresis with C4D has been developed for the separation of four nonsteroidal anti‐inflammatory drugs (NSAIDs) in the environmental sample. The investigated compounds were ibuprofen (IB), ketoprofen (KET), acetylsalicylic acid (ASA), and diclofenac sodium (DIC). In the present study, we applied for the first time microchip electrophoresis with C4D detection to the separation and detection of ASA, IB, DIC, and KET in the wastewater matrix. Under optimum conditions, the four NSAIDs compounds could be well separated in less than 1 min in a BGE composed of 20 mM His/15 mM Tris, pH 8.6, 2 mM hydroxypropyl‐beta‐cyclodextrin, and 10% methanol (v/v) at a separation voltage of 1000–1200 V. The proposed method showed excellent repeatability, good sensitivity (LODs ranging between 0.156 and 0.6 mg/L), low cost, high sample throughputs, portable instrumentation for mobile deployment, and extremely lower reagent and sample consumption. The developed method was applied to the analysis of pharmaceuticals in wastewater samples with satisfactory recoveries ranging from 62.5% to 118%.

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