Startseite Exploring the inhibitive performance of amino-dicarbonitrile derivative for Q235 steel protection in Cl3CCOOH solution: effect of temperature and synergism with iodide ions
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Exploring the inhibitive performance of amino-dicarbonitrile derivative for Q235 steel protection in Cl3CCOOH solution: effect of temperature and synergism with iodide ions

  • Kashif Rahmani Ansari ORCID logo EMAIL logo , Ambrish Singh EMAIL logo , Ismat H. Ali , Abdullah K. Alanazi , Muhammad Younas und Yuanhua Lin EMAIL logo
Veröffentlicht/Copyright: 25. Dezember 2024
Corrosion Reviews
Aus der Zeitschrift Corrosion Reviews

Abstract

The inhibitory performance of amino-dicarbonitrile derivative (ANC) for the protection of Q235 steel corrosion in trichloroacetic acid (Cl3CCOOH) solution was investigated using various methods. The surface adsorption of ANC was screened by SEM, AFM, and XPS methods. Based on the data, it can be concluded that ANC effectively inhibits Q235 steel in 0.5 M Cl3CCOOH solution, with 94.3 % inhibition efficiency (η%) at 100 mg/L. The Freundlich model describes how ANC adsorbs on the surface of Q235 steel. Anodic and cathodic reactions are both retarded by ANC, a mixed type inhibitor. The depressed capacitive loop observed is the Nyquist diagram. The double layer capacitance decreases but the charge transfer resistance rises noticeably with the addition of ANC. The AFM and SEM micrographs provide unambiguous confirmation of the effective inhibition of ANC. The XPS result shows that ANC molecules functional groups are attached to the iron atoms.


Corresponding authors: Kashif Rahmani Ansari and Yuanhua Lin, School of New Energy and Materials, Southwest Petroleum University, Chengdu, Sichuan 610500, China; and State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, Sichuan 610500, China, E-mail: (K.R. Ansari), (Y. Lin), and Ambrish Singh, Department of Chemistry, Nagaland University, Lumami, Zunheboto 798627, Nagaland, India,

Award Identifier / Grant number: R.G.P. 2/341/45

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: Not applicable.

  5. Conflict of interests: The authors state no conflict of interest.

  6. Research funding: The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work through a research group program under grant number R.G.P. 2/341/45.

  7. Data availability: The raw data can be obtained on request from the corresponding author.

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Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/corrrev-2024-0072).


Received: 2024-06-07
Accepted: 2024-11-23
Published Online: 2024-12-25

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