Nonionic surfactant-selective electrode and its application for determination in real solutions

Sak-Bosnar, Milan; Madunić-Čačić, Dubravka; Matešić-Puač, Ružica; Grabarić, Zorana

doi:10.1016/j.aca.2006.08.019

Cited by 19 publications

(6 citation statements)

References 24 publications

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“…Very few ISEs have been reported for which the membrane potentials are affected by neutral molecules. Electrodes formulated with plasticized poly(vinyl chloride) (PVC) membranes containing tetraphenylborate salts of barium complexes with given polyethoxylates5a–c or hydrogen‐ion carriers5d show cationic responses to acyclic polyether‐based nonionic surfactants, which are attributed to the partitioning of the surfactant/metal cation complexes coextracted into the membranes. Anionic responses are induced by undissociated neutral phenols using PVC matrix liquid membranes containing lipophilic nitrogen‐containing compounds6a–b or metal porphyrins6c as sensory elements.…”

Section: Methodsmentioning

confidence: 99%

Potentiometric Sensing of Neutral Species Based on a Uniform‐Sized Molecularly Imprinted Polymer as a Receptor

et al. 2010

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Polymeric membrane ion-selective electrodes (ISEs) have been routinely used for determination of ionic species in clinical applications and for the determination of water quality owing to their attractive features including excellent selectivity, low cost, ease of use, and high reliability. [1][2][3] This well-established analytical technology has undergone a quiet revolution over the last few years. The detection limits of ISEs have been lowered from the micromolar to the subnanomolar range, and the discrimination of interfering ions has been improved by many orders of magnitude.[4] Currently, the application of ISEs has evolved to provide a promising measurement technique for environmental trace analysis and potentiometric biosensing. However, it has remained an open challenge for analytical chemists to develop potentiometric sensors for uncharged molecules, since the prerequisite for the general mechanism of potentiometric response is the occurrence of a charge on an analyte. Very few ISEs have been reported for which the membrane potentials are affected by neutral molecules. Electrodes formulated with plasticized poly(vinyl chloride) (PVC) membranes containing tetraphenylborate salts of barium complexes with given polyethoxylates [5a-c] or hydrogen-ion carriers [5d] show cationic responses to acyclic polyether-based nonionic surfactants, which are attributed to the partitioning of the surfactant/ metal cation complexes coextracted into the membranes. Anionic responses are induced by undissociated neutral phenols using PVC matrix liquid membranes containing lipophilic nitrogen-containing compounds [6a-b] or metal porphyrins [6c] as sensory elements. The net movement of protons from the membrane interface to the aqueous phase stimulated by uncharged phenols is responsible for the anionic response. Although these approaches have made great contributions toward the potentiometric detection of neutral species, the sensors developed show rather poor selectivities because the potential response is governed mainly by the lipophilicity of the neutral molecules, rather than specific molecular recognition. So far, a potentiometric sensor with a synthetic carrier that selectively binds neutral species is still apparently unknown. [2b] As highly suitable receptors, molecularly imprinted polymers (MIPs) have emerged as attractive, simple, and seemingly general materials for the selective binding of a wide range of analytes with affinities and selectivities similar to those of antibodies, enzyme, and hormone receptors. [7][8][9][10] Compared to their biological counterparts, MIPs are more stable, less costly, and easier to produce. Such materials are synthesized in the presence of functional monomers, template molecules, and a cross-linking agent by covalent, [11] noncovalent, [12] and sacrificial spacer methods. [13] Binding sites with molecular recognition properties are formed after template molecules have been removed from the polymerized material, leaving behind cavities for the subsequent rebinding process tha...

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Section: Methodsmentioning

confidence: 99%

Potentiometric Sensing of Neutral Species Based on a Uniform‐Sized Molecularly Imprinted Polymer as a Receptor

et al. 2010

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“…The detailed preparation and characterization of this sensor used for titrations of non-ionic surfactants (NS sensor) have been described elsewhere. 21…”

Section: Sensorsmentioning

confidence: 99%

“…In this paper, theoretical models for potentiometric titration curves of some ionic and nonionic surfactants are proposed and their estimations of response parameters for a few surfactant sensors are reported. Previously described liquid membrane surfactant-sensing electrodes [19][20][21] were used to generate potentiometric experimental data, which were then incorporated into calculations using mass and charge balance equations. [22][23][24][25][26] The models were optimized using Solver (Microsoft Excel) and Wolfram Research Mathematica v. 7.1.…”

Section: Introductionmentioning

confidence: 99%

Estimation and Optimization of Potentiometric Sensor Response Parameters from Surfactant Titration Data Using Microsoft Excel <I>Solver</I> and <I>Mathematica</I>

Sak-Bosnar¹,

Madunić-Čačić²,

Sakač³

et al. 2011

Sen Lett

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Theoretical models for potentiometric titration curves of some ionic and nonionic surfactants are proposed in this paper. The experimental data were compared with appropriate theoretical curves in which the sensor response parameters and analyte properties (sensor slope, constant potential term, solubility product constant, analyte concentration) were estimated and optimized with Solver (Excel) and Wolfram Research Mathematica using least-squares criterion to fit theoretical curves to an experimental data set. The initial parameter settings were defined, and no constraints on the variables were applied. The macro SolvStat provided the regression statistics of the Solver, and these statistics were confirmed by the NonlinearModelFit macro of Wolfram Research Mathematica by calculation of the standard deviations of the parameters, correlation coefficients and standard errors of the y estimate SE(y. The two software tools gave almost the same estimates of the parameter models and the corresponding statistics. The theoretical models fit satisfactorily to the experimental values for all of the investigated surfactants.

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“…For potentiometric titration of analytical and technical grade polyethoxylated nonionic surfactants, modeled detergent products, and commercial detergents the liquid polyvinylchloride (PVC) membrane nonionic surfactant electrode were described in [34]. A new barium pseudocationic complex of highly ethoxylated fatty alcohol polyglycol ether and tetraphenylborate was used as sensing material.…”

mentioning

confidence: 99%

Quantification of Binary and Ternary Mixtures of Homologous Nonylphenol Polyethoxylates Using the Potentiometric Sensor Array

Макарова

Kulapina

2009

Electroanalysis

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The electronic tongue system based on the potentiometric sensor array for the determination of nonionic surfactants was developed. Multivariate statistical analysis techniques as partial least squares (PLS) method and backpropagation artificial neural networks (ANN) were used for data processing. The proposed system was applied for the quantitative analysis of homologous polyoxyethylated nonylphenols in complex multicomponent model mixtures and natural water samples. The least relative errors of detection were obtained for artificial neural network. Proposed approach could be applied to further analyze of sewage waters and commercial technical samples.

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Nonionic surfactant-selective electrode and its application for determination in real solutions

Cited by 19 publications

References 24 publications

Potentiometric Sensing of Neutral Species Based on a Uniform‐Sized Molecularly Imprinted Polymer as a Receptor

Potentiometric Sensing of Neutral Species Based on a Uniform‐Sized Molecularly Imprinted Polymer as a Receptor

Estimation and Optimization of Potentiometric Sensor Response Parameters from Surfactant Titration Data Using Microsoft Excel <I>Solver</I> and <I>Mathematica</I>

Quantification of Binary and Ternary Mixtures of Homologous Nonylphenol Polyethoxylates Using the Potentiometric Sensor Array

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