Microbiological Deterioration of Epoxy Coating on Carbon Steel by Pseudomonas aeruginosa

Zhang, Shuyuan; Zheng, Huaibei; Chang, Weiwei; Lou, Yuntian; Qian, Hongchang

doi:10.3390/coatings13030606

Cited by 3 publications

(4 citation statements)

References 49 publications

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“…A similar approach was followed by Zhang et al [ 85 ], who analyzed the increasing hydrophilicity of epoxy coatings on steel specimen over time by measurement of the water contact angle They observed a reduction in the contact angle, from 70° to 63°, upon incubation of the coated samples with P. aeruginosa for 14 days. This decrease in contact angle suggests the formation of a biofilm on the surface, as reported by the authors.…”

Section: Analytical Methods For Characterization Of Bio-degraded Epoxymentioning

confidence: 98%

“…Zhang et al [ 85 ] applied EIS and measured the potentiodynamic polarization of epoxy coatings to evaluate their degradation by P. aeruginosa . They found that the presence of the bacteria promoted the degradation of the epoxy coating, especially under starvation conditions, and that the coating had lower low frequency impedance modulus and higher corrosion current density in the inoculated medium with starvation conditions.…”

Section: Analytical Methods For Characterization Of Bio-degraded Epoxymentioning

confidence: 99%

“…Another marine microorganism known to be able to accelerate the corrosion of metals, Pseudomonas aeruginosa (1A00099), was chosen by Zhang et al [ 85 ] for incubation with epoxy coatings (BADGE hardened with Jeffamine D230) on carbon steel. The authors conducted immersion tests of the epoxy coatings in sterile and inoculated culture media with different nutrient concentrations (100%, 10%, and 0%) for 28 days.…”

Section: Biocatalytical Recycling Approachesmentioning

confidence: 99%

See 2 more Smart Citations

Towards Sustainable Recycling of Epoxy-Based Polymers: Approaches and Challenges of Epoxy Biodegradation

Klose,

Meyer-Heydecke,

Wongwattanarat

et al. 2023

Polymers

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Epoxy resins are highly valued for their remarkable mechanical and chemical properties and are extensively used in various applications such as coatings, adhesives, and fiber-reinforced composites in lightweight construction. Composites are especially important for the development and implementation of sustainable technologies such as wind power, energy-efficient aircrafts, and electric cars. Despite their advantages, their non-biodegradability raises challenges for the recycling of polymer and composites in particular. Conventional methods employed for epoxy recycling are characterized by their high energy consumption and the utilization of toxic chemicals, rendering them rather unsustainable. Recent progress has been made in the field of plastic biodegradation, which is considered more sustainable than energy-intensive mechanical or thermal recycling methods. However, the current successful approaches in plastic biodegradation are predominantly focused on polyester-based polymers, leaving more recalcitrant plastics underrepresented in this area of research. Epoxy polymers, characterized by their strong cross-linking and predominantly ether-based backbone, exhibit a highly rigid and durable structure, placing them within this category. Therefore, the objective of this review paper is to examine the various approaches that have been employed for the biodegradation of epoxy so far. Additionally, the paper sheds light on the analytical techniques utilized in the development of these recycling methods. Moreover, the review addresses the challenges and opportunities entailed in epoxy recycling through bio-based approaches.

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Section: Analytical Methods For Characterization Of Bio-degraded Epoxymentioning

confidence: 98%

Section: Analytical Methods For Characterization Of Bio-degraded Epoxymentioning

confidence: 99%

Section: Biocatalytical Recycling Approachesmentioning

confidence: 99%

See 1 more Smart Citation

Towards Sustainable Recycling of Epoxy-Based Polymers: Approaches and Challenges of Epoxy Biodegradation

Klose,

Meyer-Heydecke,

Wongwattanarat

et al. 2023

Polymers

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show abstract

“…In general, coating failure occurs due to an electrochemical reaction beneath the coating. In aggressive coastal marine environments, the causes of coating failures of offshore pipelines can be divided into the following two categories: corrosion due to microorganism activity [ 1 , 2 , 3 ] and maritime activities, including wet–dry cyclic conditions such as those at splash zone areas [ 4 ], and other/unknown causes [ 5 ]. In the aerospace industry, exterior coating failure occurs due to the high temperatures of engine exhausts and the drag effect of atmospheric friction [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

Failure Severity Prediction for Protective-Coating Disbondment via the Classification of Acoustic Emission Signals

Rahman

May

Jaffari

et al. 2023

Sensors

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Structural health monitoring is a popular inspection method that utilizes acoustic emission (AE) signals for fault detection in engineering infrastructures. Diagnosis based on the propagation of AE signals along any surface material offers an attractive solution for fault identification. However, the classification of AE signals originating from failure events, especially coating failure (coating disbondment), is a challenging task given the AE signature of each material. Thus, different experimental settings and analyses of AE signals are required to classify the various types of coating failures, and they are time-consuming and expensive. Hence, to address these issues, we utilized machine learning (ML) classification models in this work to evaluate epoxy-based-protective-coating disbondment based on the AE principle. A coating disbondment experiment consisting of coated carbon steel test panels for the collection of AE signals was implemented. The obtained AE signals were then processed to construct the final dataset to train various state-of-the-art ML classification models to divide the failure severity of coating disbondment into three classes. Consequently, methods for the extraction of useful features, the handling of data imbalance, and a reduction in the bias of ML models were also effectively utilized in this study. Evaluations of state-of-the-art ML classification models on the AE signal dataset in terms of standard metrics revealed that the decision forest classification model outperformed the other state-of-the-art models, with accuracy, precision, recall, and F1 score values of 99.48%, 98.76%, 97.58%, and 98.17%, respectively. These results demonstrate the effectiveness of utilizing ML classification models for the failure severity prediction of protective-coating defects via AE signals.

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Microbiologically influenced corrosion resistance enhancement of copper-containing high entropy alloy FexCu(1−x)CoNiCrMn against Pseudomonas aeruginosa

Lou,

Chang,

Zhang

et al. 2024

Int J Miner Metall Mater

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Microbiological Deterioration of Epoxy Coating on Carbon Steel by Pseudomonas aeruginosa

Cited by 3 publications

References 49 publications

Towards Sustainable Recycling of Epoxy-Based Polymers: Approaches and Challenges of Epoxy Biodegradation

Towards Sustainable Recycling of Epoxy-Based Polymers: Approaches and Challenges of Epoxy Biodegradation

Failure Severity Prediction for Protective-Coating Disbondment via the Classification of Acoustic Emission Signals

Microbiologically influenced corrosion resistance enhancement of copper-containing high entropy alloy FexCu(1−x)CoNiCrMn against Pseudomonas aeruginosa

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