Search

A novel electrochemical sensor was developed for the detection of salivary cortisol levels. The sensor employs a combination of a molecularly imprinted polymer (MIP) and gold nanoparticles (AuNPs) that are electrodeposited onto a screen-printed electrode (SPE). The study utilised density functional theory and molecular docking techniques to determine the geometry of molecular orbitals, electrostatic potential energies, and binding energy of cortisol and the polymers. The thin film of cortisol-imprinted polymer on the SPE was created by electro-polymerizing pyrrole and thiophene-3-carboxylic acid on the electrode surface along with cortisol as the template molecule. The MIP film was characterised using scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (FTIR), and electrochemical techniques. The sensor exhibited a linear response in the concentration range of 0.05 nmol L−1 to 2.5 μmol L−1, with a limit of detection of 0.01 nmol L−1, as determined by differential pulse voltammetry. This method offers a simple yet efficient and sensitive approach to detecting cortisol levels in human saliva samples. [Display omitted] • A new electrochemical sensor is presented that can selectively detect salivary cortisol levels using a molecularly imprinted polymer (MIP). • Gold nanoparticles (AuNPs) were electrochemically deposited on a screen-printed electrode (SPE) as a substrate for the cortisol-imprinted polymer thin film. • The cortisol-imprinted polymer thin film was synthesized on the SPE through the electro-polymerization of pyrrole and thiophene-3-carboxylic acid. • The study used density functional theory and molecular docking techniques to compute the geometry of molecular orbitals, electrostatic potential energies, and binding energy for the interacting molecules. • The differential pulse voltammetry method showed a linear response in the concentration range of 0.05 nmol L−1 to 2.5 μmol L−1 with a limit of detection of 0.016 nmol L−1. • This simple approach is an efficient and sensitive method for detecting cortisol levels in human saliva samples. [ABSTRACT FROM AUTHOR]

The remarkable features of a carbon fiber paper sensor (CP) were employed for detection of the estrogenic hormone 17α-ethinylestradiol (EE2), considered a contaminant of emerging concern due to its potential ecotoxicity and widespread in the aquatic ecosystems. In this work, an unpreceded CP pre-treatment study was conducted with the (Il)-hexacyanoferrate(III) ion pair, however a bare sensor without pre-treatment revealed higher efficiency on the oxidation of EE2 compared to a chemical and electrochemical pre-treated CP and a gold nanoparticles modified CP, being thus selected for EE2 determinations. The analytical conditions were thoroughly optimized in terms of electrolyte pH (pH 7), differential pulse voltammetry parameters (modulation time 0.003 s, amplitude 0.09 V, interval time 0.1 s and step potential 0.01 V), and analyte preconcentration potential (0.4 V) and time (180 s). The hormone can be determined by the CP in a wide linear range from 0.1 to 1000 nM, achieving a detection limit of 0.14 ± 0.005 nM and an outstanding sensitivity of 1636 ± 232 μA μM−1 cm−2 in the lowest linear zone (0.1–1 nM). The sensor was validated in river water and fish reaching good recoveries (91.2 ± 4.6 to 109.0 ± 7.1%), reproducibility and repeatability. Moreover, the sensor showed high selectivity to EE2 in the presence of several potential interfering compounds and frequently prescribed drugs, though it could not discriminate the similar hormone, 17β-estradiol, being the total concentration obtained in this case. CP-based sensors emerge as efficient electroanalytical tools, suggesting that modification of the surface may not always be beneficial in terms of sensitivity. [Display omitted] • A simple and effective carbon paper sensor was used for 17α-ethinylestradiol sensing. • The best analytical signal was obtained with an untreated and unmodified carbon paper. • The optimized sensor achieved high sensitivity (1636 μA μM−1 cm−2) and LOD of 0.14 nM. • Application in complex samples of fish resulted in recoveries from 102 to 109%. • Carbon paper sensors can be become valuable tools in the electroanalytical field. [ABSTRACT FROM AUTHOR]

Atorvastatin (ATV) is a statin member consumed in high quantities worldwide. In response to that, the occurrence of ATV in environmental waters has become a reality, highlighting the need of rapid and sensitive analytical devices for its monitoring. In this work, the first electrochemical molecularly imprinted polymer (MIP) sensor for the detection of ATV in water samples is presented. Computational studies were conducted based on quantum mechanical (QM) calculations and molecular dynamics (MD) simulations for rational selection of a suitable functional monomer and to study in detail the template-monomer interaction, respectively. The sensor was prepared by electropolymerisation of the selected 4-aminobenzoic acid (ABA) monomer with ATV, acting as template, on screen printed carbon electrode (SPCE). Cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) techniques were applied to characterise the modified electrode surfaces. The quantitative measurements were carried out with differential pulse voltammetry (DPV) in 0.1 M phosphate buffer (pH = 7). After investigation and optimisation of important experimental parameters, a linear working range down to 0.05 μmol L−1 was determined with a correlation coefficient of 0.9996 and a limit of detection (LOD) as low as 0.049 μmol L−1 (S/N = 3). High sensitivity and selectivity of the prepared sensor were demonstrated with the ability to recognise ATV molecules over its closer structural analogues. Moreover, the sensor was quickly and successfully applied in spiked water samples, proving its potential for future on-site monitoring of ATV in environmental waters. [Display omitted] • A disposable electrochemical MIP sensor for atorvastatin (ATV) detection was designed. • Efficient prediction of a functional monomer was achieved based on QM calculations. • MD simulations allowed to understand the ATV-monomer interaction. • High selectivity and sensitivity were obtained by a direct detection method. • The sensor was successfully applied in water samples. [ABSTRACT FROM AUTHOR]

• Molecularly imprinted polymer sensor for bisphenol-A was developed. • Molecular interactions of Bisphenol-A on polymer was computationally analysed. • Bisphenol-A imprinted polypyrrole electrochemically synthesised on the reduced graphene oxide film. • Bisphenol-A detected in bovine milk and water samples stored from polycarbonate bottles. Bisphenol A (BPA) contamination from food packaging material has been a major concern in recent years, due to its potential endocrine-disrupting effects on humans, especially infants and children. This paper reports the detection of BPA using an electrochemical sensor based on molecularly imprinted polymer (MIP). Electrochemically reduced graphene oxide coated glassy carbon electrode used for this study. Density functional theory (DFT) at B3LYP/6–31 + G (d,p) level was used to calculate the molecular-level interaction between BPA and MIP. The pyrrole electrochemically polymerized in the presence of template molecule BPA on the electrode surface. BPA imprinted cavities were formed by removing entrapped BPA molecules from the polypyrrole film. MIP electrode was used for the determination of BPA in standard and real samples by differential pulse voltammetry. The peak current shows the linear relationship to the logarithmic concentration of BPA between 750 and 0.5 nmolL−1 with a correlation coefficient, R2 = 0.992. The limit of detection was found to be 0.2 nmolL−1 (S/N = 3). The reproducibility and repeatability of the sensor were also studied. [ABSTRACT FROM AUTHOR]