Roles of Microbial Extracellular Polymeric Substances in Corrosion and Scale Inhibition of Circulating Cooling Water

Li, Yutong; Gong, Shichu; Song, Chao; Tian, Hailin; Yan, Zhen; Wang, Shuguang

doi:10.1021/acsestwater.2c00524

Cited by 11 publications

(4 citation statements)

References 42 publications

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“…Several studies have investigated the potential of P. putida as a corrosion inhibitor, including the use of P. putida biofilms and EPS as protective coatings on metal surfaces. These studies have demonstrated the effectiveness of P. putida in inhibiting corrosion in various environments, including marine environments, oil and gas pipelines, and cooling water systems (Li et al 2023).…”

Section: Mici By P Putidamentioning

confidence: 99%

The role of microbes in the inhibition of the atmospheric corrosion of steel caused by air pollutants

2023

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Due to the presence of corrosive contaminants in the air, metals naturally corrode when exposed to the environment. Air pollution, in conjunction with climate conditions, may significantly deteriorate outdoor materials, especially metals and hence, the need for corrosion control. Using inhibitors is a powerful strategy that is frequently employed for corrosion prevention and control. Chemical inhibitors are often used. However, due to their low effectiveness and stringent environmental regulations, the majority of chemical corrosion inhibition techniques are becoming less desirable. For this reason, there is an increasing interest in and focus on biological inhibition approaches, which most recently have included the use of microbes. Microbiologically-influenced corrosion inhibition (MICI) is apparently far more complex than traditional corrosion inhibition procedures. A current overview of the mechanisms that have been used or may be efficient for MICI technologies is important in order to facilitate the advancement of MICI and its practical industrial applications, especially for atmospheric corrosion caused by air pollutants, for which there is little information in the reviewed literature. Therefore, this review addresses the role of microbes, like Pseudomonas putida, in the inhibition of atmospheric corrosion of metals and brings the reader up-to-date on the few literatures existing on the subject. The review describes and characterizes MICI for atmospheric corrosion as a developing field still in need of enthusiastic researchers to further investigate the area in order to establish useful methodologies, procedures, and technologies for later adoption in industrial terrains and applications.

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Section: Mici By P Putidamentioning

confidence: 99%

The role of microbes in the inhibition of the atmospheric corrosion of steel caused by air pollutants

2023

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“…16,17 Multidimensional SERS integration has been applied to differentiate many complex systems, such as bacteria, 18,19 cells, 20 and wastewater. 17,21 However, extracting compelling features from large amounts of spectral data for complex samples presents challenges. Relying solely on manual visual inspection is insufficient, necessitating advanced data processing methods.…”

Section: ■ Introductionmentioning

confidence: 99%

Rapid and Precise Differentiation and Authentication of Agricultural Products via Deep Learning-Assisted Multiplex SERS Fingerprinting

Wang,

Li,

Wei

et al. 2024

Anal. Chem.

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Accurate and rapid differentiation and authentication of agricultural products based on their origin and quality are crucial to ensuring food safety and quality control. However, similar chemical compositions and complex matrices often hinder precise identification, particularly for adulterated samples. Herein, we propose a novel method combining multiplex surface-enhanced Raman scattering (SERS) fingerprinting with a one-dimensional convolutional neural network (1D-CNN), which enables the effective differentiation of the category, origin, and grade of agricultural products. This strategy leverages three different SERSactive nanoparticles as multiplex sensors, each tailored to selectively amplify the signals of preferentially adsorbed chemicals within the sample. By strategically combining SERS spectra from different NPs, a 'SERS super-fingerprint' is constructed, offering a more comprehensive representation of the characteristic information on agricultural products. Subsequently, utilizing a custom-designed 1D-CNN model for feature extraction from the 'super-fingerprint' significantly enhances the predictive accuracy for agricultural products. This strategy successfully identified various agricultural products and simulated adulterated samples with exceptional accuracy, reaching 97.7% and 94.8%, respectively. Notably, the entire identification process, encompassing sample preparation, SERS measurement, and deep learning analysis, takes only 35 min. This development of deep learning-assisted multiplex SERS fingerprinting establishes a rapid and reliable method for the identification and authentication of agricultural products.

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“…In scenarios where carbon sources and other electron donors are scarce, microbes can adapt by using elemental iron or other energetic metals as electron donors, leading to metal corrosion [7]. Elevated bacterial levels heighten the risk of microbiologically influenced corrosion (MIC) [8], while biofouling on wet surfaces can reduce the efficiency of heat exchangers and cause blockages in cooling circuit pipes [5], resulting in production loss and increased maintenance costs [4,9,10].…”

Section: Introductionmentioning

confidence: 99%

“…A multitude of research has delved into the potential of biological water treatment as a means to decrease CODcr and slime concentrations in circulating water systems [9,17]. Biofilms, by removing assimilable organic carbon (AOC) from process water, limit the primary substrate for biofouling microorganism growth [3].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Microbial Community in Circulating Cooling Water System of Coal Power Plant during Reagent Conversion

Wang,

Ye,

et al. 2023

Sustainability

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The use of phosphorus-containing chemical corrosion and scale inhibitors has been found to result in excessive phosphorus discharge and an inability to reduce the high concentration of CODcr in the circulating cooling water, thereby making it challenging to comply with increasingly stringent sewage discharge standards. This study aims to assess the practicality of utilizing biological corrosion and scale inhibitors in coal power plants’ operation, as well as investigating the correlation between water quality indicators and microbial communities during the conversion period. The data illustrates that, in comparison to the chemical method, there is a decrease in turbidity of the circulating water from 19.44 NTU to 9.60 NTU, a reduction in CODcr from 71.55 mg/L to 45.47 mg/L, and a drop in TP from 2.35 mg/L to 0.38 mg/L. Microbial community analysis during the transition period reveals that microorganisms rapidly establish a new equilibrium in the circulating water, sediment, and fiber ball, resulting in significantly different microbial community structures. The relative abundance of corrosive microorganisms such as Flavobacterium, Pedomicrobium, and Hydrogenophaga is significantly diminished in the circulating water, whilst the abundance of anaerobic microorganisms like Anaerolineaceae and Rhodopseudomonas in the sediment also declines. Conversely, there is an increased presence of microorganisms associated with contaminant degradation, such as CL500-3 and SM1A02. These findings suggest a decrease in the risk of system corrosion and an enhancement in contaminant degradation capability. This study provides evidence supporting the replacement of chemical agents with biological agents in circulating cooling water systems, contributing to more environmentally friendly and sustainable practices.

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Roles of Microbial Extracellular Polymeric Substances in Corrosion and Scale Inhibition of Circulating Cooling Water

Cited by 11 publications

References 42 publications

The role of microbes in the inhibition of the atmospheric corrosion of steel caused by air pollutants

The role of microbes in the inhibition of the atmospheric corrosion of steel caused by air pollutants

Rapid and Precise Differentiation and Authentication of Agricultural Products via Deep Learning-Assisted Multiplex SERS Fingerprinting

Analysis of Microbial Community in Circulating Cooling Water System of Coal Power Plant during Reagent Conversion

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