Deterministic Modeling of the Corrosion of Low-Carbon Steel by Dissolved Carbon Dioxide and the Effect of Acetic Acid. I-Effect of Carbon Dioxide.

Rosas-Camacho, Omar; Uquidi-Macdonald, Mirna; Macdonald, Digby D.

doi:10.1149/1.3259806

Cited by 11 publications

(5 citation statements)

References 45 publications

(91 reference statements)

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“…Importantly, if the specific resistance is sufficiently large, the thickness of the barrier layer is projected to go to zero and the barrier layer is predicted to disappear. This is a hitherto unidentified form of depassivation that appears to be operative in the corrosion of carbon steel in CO 2 -acidified, oil field brines (12,13).…”

Section: Ecs Transactions 28 (24) 123-144 (2010)mentioning

confidence: 96%

The Point Defect Model for Bi-Layer Passive Films

Macdonald

Englehardt

2010

ECS Trans.

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The Point Defect Model (PDM) has been shown to accurately describe the properties of passive films that form on metal surfaces in contact with aggressive environments under both open circuit and anodic polarization conditions. However, the commonly-employed PDM, known henceforth as PDM-II assumes that passivity arises from the properties of the barrier layer and that the outer layer, if present, contributes negligibly to the interfacial impedance. In this paper, we describe PDM-III, in which a resistive outer layer exists on the surface and contributes substantially to the impedance of the interface. The outer layer is shown to have a profound impact on the properties of the barrier layer and under certain circumstances the barrier layer is predicted to disappear. This new form of depassivation has been observed experimentally. The use of electrochemical impedance spectroscopy to characterize passive films having resistive outer layers is describe and illustrated with reference to the passive state on zirconium in simulated PWR (Pressurized Water Reactor) primary coolant.

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Section: Ecs Transactions 28 (24) 123-144 (2010)mentioning

confidence: 96%

The Point Defect Model for Bi-Layer Passive Films

Macdonald

Englehardt

2010

ECS Trans.

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“…Thus, for an example, for an applied voltage (at a location of the Luggin probe just outside of the outer layer) of 0 VSHE, an increase in the specific resistance of the outer layer to 6x10 7 Ω cm 2 the thickness of the barrier layer is predicted to have been reduced to zero; i.e., the surface has depassivated. This form of depassivation was predicted by the Bi-Layer Point Defect Model (BLPDM) (9) and has been subsequently found for the corrosion of ASTM A470/471 steam turbine disk/rotor steel in simulated phase transition zone (PTZ) environments containing amines (10) and for the corrosion of carbon steel in CO 2 -acidified brine (11). In both cases, extensive electrochemical impedance spectroscopic (EIS) studies failed to detect the presence of the barrier layer on the metal surface.…”

Section: Resistive Depassivationmentioning

confidence: 89%

Mechanism of Depassivation

Macdonald

2013

ECS Trans.

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For more than forty years, the conditions for the existence of the passive state, and hence for the existence of our metals-based civilization, which is based upon the reactive metals (Al, Cr, Fe, Ni, etc), have been described in terms of equilibrium thermodynamics in the form of Pourbaix diagrams. However, Pourbaix diagrams provide an equilibrium view of passivity, whereas passive films are non-equilibrium structures, whose existence depends upon an appropriate relationship between the rate of formation and the rate of destruction. Accordingly, a more accurate and realistic description of the phenomenon of passivity must be found in the field of electrochemical kinetics. This paper presents a kinetic theory for depassivation (loss of passivity), in terms of the relative rates of film growth at the metal/barrier layer interface at zero barrier layer thickness and destruction of the film at the film/solution interface.

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“…Protein-protein interaction networks were built with an interaction score of −1 to 1. In total, 20 fig ARF proteins were aligned with AtARF proteins using Blastp alignment with E-value of 1e−0 ( Rosas-Camacho, 2009 ; Chen et al, 2015 ). The interaction network of FcARF protein was constructed using homologous and Arabidopsis thaliana ARF protein, and genes of interest were visualized using Cytoscape software ( Doncheva et al, 2019 ).…”

Section: Methodsmentioning

confidence: 99%

Identification and characterization of auxin response factor (ARF) family members involved in fig (Ficus carica L.) fruit development

Wang

Huang

Shang

et al. 2022

PeerJ

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The auxin response factor (ARF) combines with AuxREs cis-acting elements in response to auxin to regulate plant development. To date, no comprehensive analysis of ARF genes expressed during fruit development has been conducted for common fig (Ficus carica L.). In this study, members of the FcARF gene family were screened, identified in the fig genome database and their features characterized using bioinformatics. Twenty FcARF genes were clustered into three classes, with almost similar highly conserved DBD (B3-like DNA binding domain), AUX/IAA (auxin/indole-3-acetic acid gene family) and MR domain structure among class members. Analysis of amino acid species in MR domain revealed 10 potential transcription activators and 10 transcription inhibitors, and 17 FcARF members were predicted to be located in the nucleus. DNA sequence analysis showed that the ARF gene family consisted of 4–25 exons, and the promoter region contained 16 cis-acting elements involved in stress response, hormone response and flavonoid biosynthesis. ARF genes were expressed in most tissues of fig, especially flower and peel. Transcriptomics analysis results showed that FcARF2, FcARF11 and FcARF12, belonging to class-Ia, were stably and highly expressed in the early development stage of flower and peel of ‘Purple peel’ fig. However, their expression levels decreased after maturity. Expression of class-Ic member FcARF3 conformed to the regularity of fig fruit development. These four potential transcription inhibitors may regulate fruit growth and development of ‘Purple Peel’ fig. This study provides comprehensive information on the fig ARF gene family, including gene structure, chromosome position, phylogenetic relationship and expression pattern. Our work provides a foundation for further research on auxin-mediated fig fruit development.

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Deterministic Modeling of the Corrosion of Low-Carbon Steel by Dissolved Carbon Dioxide and the Effect of Acetic Acid. I-Effect of Carbon Dioxide.

Cited by 11 publications

References 45 publications

The Point Defect Model for Bi-Layer Passive Films

The Point Defect Model for Bi-Layer Passive Films

Mechanism of Depassivation

Identification and characterization of auxin response factor (ARF) family members involved in fig (Ficus carica L.) fruit development

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