Enhanced sensing of bacteria biomarkers by ZnO and graphene oxide decorated PEDOT film.

Developing a biofilm biomarker detector and inhibitor will immensely benefit efforts geared at curbing infectious diseases and microbiologically induced corrosion of medical implants, marine vessels and buried steel pipelines. N-Acyl homoserine lactones (AHLs) are important biomarkers gram-negative bacteria use for communication. In this work, we investigated the interactions between three AHL molecules and graphene oxide (GO) and ZnO nanomaterials embedded in conjugated poly(3,4-ethylenedioxythiophene) (PEDOT) film. The results show that PEDOT/GO/ZnO detected AHLs to a considerable extent with adsorption enthalpies of -4.02, -4.87 and -4.97 KJ/mol, respectively, for N-(2-oxotetrahydrofuran-3-yl)heptanamide (AHL1), 2-hydroxy-N-(2-oxotetrahydrofuran-3-yl)nonanamide (AHL2) and (E)-3-(3-hydroxyphenyl)-N-(2-oxotetrahydrofuran-3-yl)acrylamide (AHL3) molecules. The ZnO nanoparticles facilitated charge redistribution and transfer, thereby enhancing the conductivity and overall sensitivity of the substrate toward the AHLs. The adsorption distance and sites of interactions further tuned the charge migration and signal generation by the substrate, thus affirming the suitability of the modeled thin film as a sensor material. Excellent stability and conductivity were maintained before and after the adsorption of each AHL molecule. Moreover, the desorption time for each AHL molecule was calculated, and the result affirmed that the modeled film materials are promising for developing highly sensitive biosensors.Communicated by Ramaswamy H. Sarma.

Anticorrosion and dispersive adsorption studies of natural andrographolide on carbon steel in acid-chloride environments.

Andrographolide, a bioactive naturally occurring labdane diterpenoid with outstanding antioxidant effects in medicine, has been isolated and purified from Andrographis paniculata, and applied in acid-chloride environments for the corrosion protection of carbon steel. Upon isolation, the phytochemical was identified by NMR and FTIR, while its corrosion inhibition evaluation was achieved by combined electrochemical and gravimetric experiments. The adsorption of andrographolide on carbon steel was examined by SEM, FTIR, and 3D surface measurement, and computational studies were used to describe the adsorption characteristics and properties. The experimental measurements revealed that andrographolide is an effective mixed-type corrosion inhibitor whose efficiency was dependent on both its concentration and the temperature of the environment, with maximum inhibition efficiency of 92.4% recorded for 2.0 g/L andrographolide after 48 h at 318 K. The adsorption of andrographolide and its anticorrosion capacity on carbon steel surface was confirmed by the employed surface analytical techniques, while molecular electrostatic potential, conceptual density functional theory, and molecular dynamics simulation predicted the quantum chemical details and binding properties of the phytochemical on Fe (110) surface at different temperatures.

Detailed characterization of Phellodendron chinense Schneid and its application in the corrosion inhibition of carbon steel in acidic media.

We present a combined experimental and theoretical study of the effective corrosion protection of carbon steel in 1 M HCl solution by Phellodendron chinense Schneid (PCS) bark extract. Fourier-transform infrared spectroscopy (FTIR) and liquid chromatography tandem multi-stage mass spectrometry (LC-MSn) were employed for the extract characterization. The properties of PCS as a corrosion inhibitor were evaluated by electrochemical and gravimetric experiments. Quantum chemical calculation was used to describe the electronic and adsorption properties of the identified and characterized compounds found in the extract while molecular dynamics simulation was employed to predict the equilibrium configurations and binding energies of the compounds on the steel surface. The electrochemical results revealed that PCS acted as a mixed-type corrosion inhibitor whose efficiency increased with the extract concentration but slightly decreased with increasing temperature. Quantum chemical parameters, such as the energy difference (ΔE) and the number of transferred electrons (ΔN), were used to predict the contribution of each characterized compound to the inhibition process while molecular dynamics simulation predicted parallel orientations for the configuration of the compounds and high binding energies on the metal substrate.