Development of structure-specific electrochemical sensor and its application for polyamines determination

Lin, Ming-Kuem; Chen, Chi-Hao; Chen, Zen

doi:10.1016/j.electacta.2010.10.083

Cited by 15 publications

(8 citation statements)

References 33 publications

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“…This composite was also shown not to respond to model primary amine containing biomolecules (BSA) such as creatinine or urea, thus demonstrating its high specificity towards ammonium ions as it can be seen in Fig 1SA. These results were highly significant, in demonstrating that the combination of PANi and copper provides improvement in the selectivity of the sensor compared to other copper-based electrodes, which have been shown to be sensitive to a variety of primary amines (Lin et al 2011), including creatinine (Chen and Lin 2012). Furthermore the PANi-Nafion-Cu-nanocomposite showed significant increase in sensitivity when compared to the only Cu or only PANi electrodes (Fig.…”

Section: Optimisation Of the Ammonium Ion-selective Composite For Usementioning

confidence: 59%

Creatinine and urea biosensors based on a novel ammonium ion-selective copper-polyaniline nano-composite

Zhybak

Beni

Vagin

et al. 2016

Biosensors and Bioelectronics

101

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The use of a novel ammonium ion-specific copper-polyaniline nano-composite as transducer for hydrolase-based biosensors is proposed. In this work, a combination of creatinine deaminase and urease has been chosen as a model system to demonstrate the construction of urea and creatinine biosensors to illustrate the principle. Immobilisation of enzymes was shown to be a crucial step in the development of the biosensors; the use of glycerol and lactitol as stabilisers resulted in a significant improvement, especially in the case of the creatinine, of the operational stability of the biosensors (from few hours to at least 3 days). The developed biosensors exhibited high selectivity towards creatinine and urea. The sensitivity was found to be 85 ± 3.4 mAM(-1)cm(-2) for the creatinine biosensor and 112 ± 3.36 mAM(-1)cm(-2) for the urea biosensor, with apparent Michaelis-Menten constants (KM,app), obtained from the creatinine and urea calibration curves, of 0.163 mM for creatinine deaminase and 0.139 mM for urease, respectively. The biosensors responded linearly over the concentration range 1-125 µM, with a limit of detection of 0.5 µM and a response time of 15s. The performance of the biosensors in a real sample matrix, serum, was evaluated and a good correlation with standard spectrophotometric clinical laboratory techniques was found.

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Section: Optimisation Of the Ammonium Ion-selective Composite For Usementioning

confidence: 59%

Creatinine and urea biosensors based on a novel ammonium ion-selective copper-polyaniline nano-composite

Zhybak

Beni

Vagin

et al. 2016

Biosensors and Bioelectronics

101

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“…The Cu(l)-creatinine complexes are formed and reduce the transition of Cu 1+ to Cu 0 in the reverse CV scan. ,,, The possibility of Cu (ll) creatinine complex can also take place because Cu +2 is present in the form of CuO in the hybrid electrode as confirmed from the XRD, Raman, and XPS results. However, the redox peaks for CuO were not observed in the CV spectra . In nearly neutral conditions, the O-atom present in the creatinine molecule is in the keto form where the secondary N-atom in the ring of guanidine moiety experiences greater nucleophilic character and is attracted by the Cu atom in Cu 2 O NPs in the hybrid sample.…”

Section: Resultsmentioning

confidence: 95%

“…It is reported that the tautomeric form of creatinine consists of several donor groups and can easily bind with numerous transition-metal ions like Pd(II), Pt(II), Zn(II), Co(II), Ni(II), Ag(I), Hg(II), and Cu(II) for redox current generation. − Among them, Cu-based electrodes were widely used for the detection of various biologically important compounds like amino acid, organic acids, drugs, and polysaccharides . Hibbert and his team members compared the analytical performance of cobalt and copper-based electrodes for measurements of several amines and expanded to detect glutathione, creatinine, and glutathione disulfide. ,, These explorations indicated that the redox peaks and current response of these analyte species depend on the complexation of the surface-bound Cu(I) and Cu(II) under basic or neutral conditions. The hybrid nanoporous electrode (Sn 2 O@Cu 2 O) showed an ultra-high sensitivity of ∼24343 μA mM –1 cm –2 with a fast response time of less than 2 s compared to the pristine (Sn 2 O nanoporous) electrode with a sensitivity of ∼6885 μA mM –1 cm –2 .…”

Section: Introductionmentioning

confidence: 99%

Anodic SnO₂ Nanoporous Structure Decorated with Cu₂O Nanoparticles for Sensitive Detection of Creatinine: Experimental and DFT Study

et al. 2022

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Advanced anodic SnO2 nanoporous structures decorated with Cu2O nanoparticles (NPs) were employed for creatinine detection. Anodization of electropolished Sn sheets in 0.3 M aqueous oxalic acid electrolyte under continuous stirring produced complete open top, crack-free, and smooth SnO2 nanoporous structures. Structural analyses confirm the high purity of rutile SnO2 with successful functionalization of Cu2O NPs. Morphological studies revealed the formation of self-organized and highly-ordered SnO2 nanopores, homogeneously decorated with Cu2O NPs. The average diameter of nanopores is ∼35 nm, while the average Cu2O particle size is ∼23 nm. Density functional theory results showed that SnO2@Cu2O hybrid nanostructures are energetically favorable for creatinine detection. The hybrid nanostructure electrode exhibited an ultra-high sensitivity of around 24343 μA mM–1 cm–2 with an extremely lower detection limit of ∼0.0023 μM, a fast response time (less than 2 s), and wide linear detection ranges of 2.5–45 μM and 100 μM to 15 mM toward creatinine. This is ascribed to the creation of highly active surface sites as a result of Cu2O NP functionalization, SnO2 band gap diminution, and the formation of heterojunction and Cu(1)/Cu(ll)–creatinine complexes through secondary amines which occur in the creatinine structure. The real-time analysis of creatinine in blood serum by the fabricated electrode evinces the practicability and accuracy of the biosensor with reference to the commercially existing creatinine sensor. The proposed biosensor demonstrated excellent stability, reproducibility, and selectivity, which reflects that the SnO2@Cu2O nanostructure is a promising candidate for the non-enzymatic detection of creatinine.

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“…An enzymeless electrochemical sensor exploiting the chelation properties of PAs toward cupric ions was coupled to a HPLC system and used to detect PAs in clinical urine samples. The sensor response depended on the molecular structure and on the amino group position of PAs coordinating the cupric ions immobilized on a platinum electrode surface (Lin et al 2011).…”

Section: Biosensors For the Determination Of Polyamines In Human Bodymentioning

confidence: 99%

Endogenous and food-derived polyamines: determination by electrochemical sensing

et al. 2018

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Polyamines (PAs) are involved in a variety of fundamental physio-pathologic processes. The concentration of these polycations in organs and tissues depends on their endogenous production and oxidation rates, and on their intake from foods. Besides being largely accepted as markers for the progress of several pathologies, PAs may exert themselves different effects on humans, ranging from being positive to be drastically detrimental depending on the organism conditions. Thus, if the determination of polyamines content in tissue samples is of great importance as they could be indicators of several diseases, their quantification in food is fundamental for modulating the diet to respond to a specific human health status. Thus, the determination of PA content in food is increasingly urgent. Standard analytical methods for polyamine quantification are mainly based on chromatography, where high-performance liquid chromatography and gas chromatography are the most often used, involving pre-column or post-column derivatization techniques. Driven by the growing need for rapid in situ analyses, electrochemical biosensors, comprising various combinations of different enzymes or nanomaterials for the selective bio-recognition and detection, are emerging as competitors of standard detection systems. The present review is aimed at providing an up-to-date overview on the recent progresses in the development of sensors and biosensors for the detection of polyamines in human tissues and food samples. Basic principles of different electrochemical (bio)sensor formats are reported and the applications in human tissues and in foods was evidenced.

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Development of structure-specific electrochemical sensor and its application for polyamines determination

Cited by 15 publications

References 33 publications

Creatinine and urea biosensors based on a novel ammonium ion-selective copper-polyaniline nano-composite

Creatinine and urea biosensors based on a novel ammonium ion-selective copper-polyaniline nano-composite

Anodic SnO₂ Nanoporous Structure Decorated with Cu₂O Nanoparticles for Sensitive Detection of Creatinine: Experimental and DFT Study

Endogenous and food-derived polyamines: determination by electrochemical sensing

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Development of structure-specific electrochemical sensor and its application for polyamines determination

Cited by 15 publications

References 33 publications

Creatinine and urea biosensors based on a novel ammonium ion-selective copper-polyaniline nano-composite

Creatinine and urea biosensors based on a novel ammonium ion-selective copper-polyaniline nano-composite

Anodic SnO2 Nanoporous Structure Decorated with Cu2O Nanoparticles for Sensitive Detection of Creatinine: Experimental and DFT Study

Endogenous and food-derived polyamines: determination by electrochemical sensing

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Anodic SnO₂ Nanoporous Structure Decorated with Cu₂O Nanoparticles for Sensitive Detection of Creatinine: Experimental and DFT Study