New molecularly-imprinted polymer for carnitine and its application as ionophore in potentiometric selective membranes

Moret, Joséphine; Moreira, Felismina T.C.; Almeida, S.A.A.; Sales, M. Goreti F.

doi:10.1016/j.msec.2014.07.056

Cited by 13 publications

(5 citation statements)

References 47 publications

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“…Some imprinted PVC membranes have been recently reported for some drugs and metabolites as: azithromycin [157], losartan [158], clenbuterol [159], taurine [160] and carnitine [162,169], among others. In these, a sensitive MIP for azithromycin has been reported.…”

Section: Electrochemical Transductionmentioning

confidence: 99%

Imprinting Technology in Electrochemical Biomimetic Sensors

Frasco

Truta

Sales

et al. 2017

Sensors

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Biosensors are a promising tool offering the possibility of low cost and fast analytical screening in point-of-care diagnostics and for on-site detection in the field. Most biosensors in routine use ensure their selectivity/specificity by including natural receptors as biorecognition element. These materials are however too expensive and hard to obtain for every biochemical molecule of interest in environmental and clinical practice. Molecularly imprinted polymers have emerged through time as an alternative to natural antibodies in biosensors. In theory, these materials are stable and robust, presenting much higher capacity to resist to harsher conditions of pH, temperature, pressure or organic solvents. In addition, these synthetic materials are much cheaper than their natural counterparts while offering equivalent affinity and sensitivity in the molecular recognition of the target analyte. Imprinting technology and biosensors have met quite recently, relying mostly on electrochemical detection and enabling a direct reading of different analytes, while promoting significant advances in various fields of use. Thus, this review encompasses such developments and describes a general overview for building promising biomimetic materials as biorecognition elements in electrochemical sensors. It includes different molecular imprinting strategies such as the choice of polymer material, imprinting methodology and assembly on the transduction platform. Their interface with the most recent nanostructured supports acting as standard conductive materials within electrochemical biomimetic sensors is pointed out.

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Section: Electrochemical Transductionmentioning

confidence: 99%

Imprinting Technology in Electrochemical Biomimetic Sensors

Frasco

Truta

Sales

et al. 2017

Sensors

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“…Acetaminophen has also been investigated for medical and clinical purposes, by using signal enhancers, such as gold nanoparticles [ 184 ], or developing a thin MIP layer that enhances the selectivity [ 185 ]. Other metabolites have also been studied, such as dopamine [ 186 ], carnitine [ 187 ], and glucose [ 188 ], among others, as it can be seen in Table 3 and Fig. 9 .…”

Section: Alternative Tools To Mass Spectrometry and Nuclear Magnetic Resonance Instruments For Making Metabolomics Valuable In Clinical Lmentioning

confidence: 99%

Metabolomics for personalized medicine: the input of analytical chemistry from biomarker discovery to point-of-care tests

et al. 2021

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Metabolomics refers to the large-scale detection, quantification, and analysis of small molecules (metabolites) in biological media. Although metabolomics, alone or combined with other omics data, has already demonstrated its relevance for patient stratification in the frame of research projects and clinical studies, much remains to be done to move this approach to the clinical practice. This is especially true in the perspective of being applied to personalized/precision medicine, which aims at stratifying patients according to their risk of developing diseases, and tailoring medical treatments of patients according to individual characteristics in order to improve their efficacy and limit their toxicity. In this review article, we discuss the main challenges linked to analytical chemistry that need to be addressed to foster the implementation of metabolomics in the clinics and the use of the data produced by this approach in personalized medicine. First of all, there are already well-known issues related to untargeted metabolomics workflows at the levels of data production (lack of standardization), metabolite identification (small proportion of annotated features and identified metabolites), and data processing (from automatic detection of features to multi-omic data integration) that hamper the inter-operability and reusability of metabolomics data. Furthermore, the outputs of metabolomics workflows are complex molecular signatures of few tens of metabolites, often with small abundance variations, and obtained with expensive laboratory equipment. It is thus necessary to simplify these molecular signatures so that they can be produced and used in the field. This last point, which is still poorly addressed by the metabolomics community, may be crucial in a near future with the increased availability of molecular signatures of medical relevance and the increased societal demand for participatory medicine. Graphical abstract

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“…Fabrication of a new ion‐specific ISE with high selectivity and sensitivity, wide linear concentration range, long lifetime, good reproducibility, and low cost is always in need. Therefore, several research groups focused on the exploration of new ionophores for ISEs construction .…”

Section: Introductionmentioning

confidence: 99%

Electrochemical Selective Determination of Uranyl Ions Using PVC Membrane Sensor

Akl

2017

Electroanalysis

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A UO22+‐PVC membrane electrode was constructed using 2‐thenoyltrifluoroacetone as ionophore and its electrochemical response performance was characterized. The effect of membrane composition on the electrode performance was studied and best results were obtained using dioctylsebacate as a mediator and potassium tetrakis(4‐chlorophenyl)borate as anion excluder. The optimized UO22+‐sensor exhibited a Nernstian response with a slope of 29.5±0.5 mV decade−1 over the concentration range 5.0×10−7−1.0×10−1 mol L−1 at 25 °C with a detection limit of 3.1×10−7 mol L−1. The optimized electrode showed very good selectivity towards UO22+ relative to a wide variety of other cations and fast response time. Surface morphology of the optimized membrane electrode at different stages of its development and use was investigated and discussed. Quantum chemical calculations for geometrical optimization of the ionophore were carried out to investigate the interaction between the ionophore and UO22+ using DFT B3LYP/6‐31++G(d,p) level of theory and the obtained data confirmed the proposed response mechanism. The developed sensor was successfully applied for UO22+ selective determination in real water samples and the obtained results were compared to those obtained by spectrophotometric method indicating no significant difference.

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New molecularly-imprinted polymer for carnitine and its application as ionophore in potentiometric selective membranes

Cited by 13 publications

References 47 publications

Imprinting Technology in Electrochemical Biomimetic Sensors

Imprinting Technology in Electrochemical Biomimetic Sensors

Metabolomics for personalized medicine: the input of analytical chemistry from biomarker discovery to point-of-care tests

Electrochemical Selective Determination of Uranyl Ions Using PVC Membrane Sensor

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