Characterization and removal of biofouling from reverse osmosis membranes (ROMs) from a desalination plant in Northern Chile, using <i>Alteromonas</i> sp. Ni1-LEM supernatant

Vera-Villalobos, Hernán; Pérez, Vilma; Contreras, Francisco; Alcayaga, Valezka; Avalos, Vladimir; Riquelme, Carlos; Silva-Aciares, Fernando

doi:10.1080/08927014.2020.1776268

Cited by 5 publications

(6 citation statements)

References 52 publications

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“…Several authors have proposed modifications in ROMs structures to improve their chemical and physical properties [ 28 ], as well as the application of different chemical or biological components as cleaning agents with less toxic effects [ 11 , 12 ]. In this context, the use of microorganisms that can degrade the biofouling EPS matrix has exhibited considerable promise [ 27 , 29 , 30 ]. However, several of these approaches have been evaluated only under laboratory conditions and on a small scale—conditions that, in many aspects, are not similar to those observed in the routine operation of desalination plants.…”

Section: Discussionmentioning

confidence: 99%

“…The Alteromonas sp. Ni1-LEM supernatant only interacted with biofouling components, such as the formed EPS, and could thus be successfully used against a broad spectrum of microalgal biofilms without negatively affecting the ROM structures [ 26 , 27 ].…”

Section: Discussionmentioning

confidence: 99%

“…Ni1-LEM [ 24 ], which produces a thermostable, extracellular, peptide-like compound, is highly significant. It exhibits inhibitory effects on the adhesion capabilities of certain planktonic species and marine benthic microorganisms involved in biofouling [ 24 , 25 , 26 , 27 ]. The previous results obtained by our group corroborate the finding that the antifouling compounds secreted by the marine bacteria Alteromonas sp.…”

Section: Introductionmentioning

confidence: 99%

“…The previous results obtained by our group corroborate the finding that the antifouling compounds secreted by the marine bacteria Alteromonas sp. Ni1-LEM disrupt the matrix of the extracellular polymeric substances (EPSs), thus modifying the microbial communities observed in ROMs on a laboratory scale [ 26 , 27 ]. However, experiments performed under real conditions are necessary to corroborate the Alteromonas sp.…”

Section: Introductionmentioning

confidence: 99%

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Use of Alteromonas sp. Ni1-LEM Supernatant as a Cleaning Agent for Reverse-Osmosis Membranes (ROMs) from a Desalination Plant in Northern Chile Affected by Biofouling

2023

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Biofouling refers to the undesirable growth of microorganisms on water-submerged surfaces. Microfouling, the initial state of biofouling, is characterized by aggregates of microbial cells enclosed in a matrix of extracellular polymeric substances (EPSs). In seawater desalination plants, filtration systems, such as reverse-osmosis membranes (ROMs), are affected by microfouling, which decreases their efficiency in obtaining permeate water. The existing chemical and physical treatments are expensive and ineffective; therefore, controlling microfouling on ROMs is a considerable challenge. Thus, new approaches are necessary to improve the current ROM cleaning treatments. This study demonstrates the application of Alteromonas sp. Ni1-LEM supernatant as a cleaning agent for ROMs in a desalination seawater plant in northern Chile (Aguas Antofagasta S.A.), which is responsible for supplying drinking water to the city of Antofagasta. ROMs treated with Altermonas sp. Ni1-LEM supernatant exhibited statistically significant results (p < 0.05) in terms of seawater permeability (Pi), permeability recovery (PR), and the conductivity of permeated water compared with control biofouling ROMs and those treated with the chemical cleaning protocol applied by the Aguas Antofagasta S.A. desalination plant.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Use of Alteromonas sp. Ni1-LEM Supernatant as a Cleaning Agent for Reverse-Osmosis Membranes (ROMs) from a Desalination Plant in Northern Chile Affected by Biofouling

2023

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“…Reverse Osmosis (RO) membrane fouling is a detrimental phenomenon that adversely affects the quantity and quality of the produced water, which are the vital metrics that account for economical and more efficient use of the RO plants. Knowing the status of the system with respect to system performance, membrane fouling or scaling at a very early stage is a prerequisite for positive control and has a direct positive impact on optimizing the total cost and the produced permeate quality (Hoek, Allred, Knoell, & Jeong, 2008;Vera-Villalobos, Pérez, Contreras, Alcayaga, Avalos, Riquelme, & Silva-Aciares, 2020).…”

Section: Introductionmentioning

confidence: 99%

Performance Prediction of a Reverse Osmosis Desalination System Using Machine Learning

Karimanzira¹,

Rauschenbach²

2021

GEP

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One of the major challenges that membrane manufacturers, commercial enterprises and the scientific community in the field of membrane-based filtration or reverse osmosis (RO) desalination have to deal with is system performance retardation due to membrane fouling. In this respect, the prediction of fouling or system performance in membrane-based systems is the key to determining the mid and long-term plant operating conditions and costs. Despite major research efforts in the field, effective methods for the estimation of fouling in RO desalination plants are still in infancy, for example, most of the existing methods, neither consider the characteristics of the membranes such as the spacer geometry, nor the efficiency and the day to day chemical cleanings. Furthermore, most studies focus on predicting a single fouling indicator, e.g., flux decline. Faced with the limits of mathematical or numerical approach, in this paper, machine learning methods based on Multivariate Temporal Convolutional Neural networks (MTCN), which take into account the membrane characteristics, feed water quality, RO operation data and management practice such as Cleaning In Place (CIP) will be considered to predict membrane fouling using measurable multiple indicators. The temporal convolution model offers one the capability to explore the temporal dependencies among a remarkably long historical period and has potential use for operational diagnostics, early warning and system optimal control. Data collected from a Desalination RO plant will be used to demonstrate the capabilities of the prediction system. The method achieves remarkable predictive accuracy (root mean square error) of 0.023, 0.012 and 0.007 for the relative differential pressure and permeates Total Dissolved solids (TDS) and the feed pressure, respectively.

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Reverse osmosis membranes applied in seawater desalination plants as a source of bacteria with antifouling activity: Isolation, biochemical and molecular characterization

Vera-Villalobos,

Cortes-Martinez,

Gonzalez-Gutierrez

et al. 2023

Electronic Journal of Biotechnology

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Characterization and removal of biofouling from reverse osmosis membranes (ROMs) from a desalination plant in Northern Chile, using Alteromonas sp. Ni1-LEM supernatant

Cited by 5 publications

References 52 publications

Use of Alteromonas sp. Ni1-LEM Supernatant as a Cleaning Agent for Reverse-Osmosis Membranes (ROMs) from a Desalination Plant in Northern Chile Affected by Biofouling

Use of Alteromonas sp. Ni1-LEM Supernatant as a Cleaning Agent for Reverse-Osmosis Membranes (ROMs) from a Desalination Plant in Northern Chile Affected by Biofouling

Performance Prediction of a Reverse Osmosis Desalination System Using Machine Learning

Reverse osmosis membranes applied in seawater desalination plants as a source of bacteria with antifouling activity: Isolation, biochemical and molecular characterization

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