Impact of environmental biofilms: Industrial components and its remediation

Vishwakarma, Vinita

doi:10.1002/jobm.201900569

Cited by 62 publications

(71 citation statements)

References 65 publications

(65 reference statements)

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“…The present approach allows the screening of NPs, predicting their capacity to eradicate bacteria, saving time and reducing costs by reducing the amount of trial and error in the lab. Such an approach would help scientists to prevent bacterial growth that can be harmful to human health, environments and industrial components that are subjected to biofilm formation and bacterial growth [ 63 ].…”

Section: Introductionmentioning

confidence: 99%

A Machine Learning Tool to Predict the Antibacterial Capacity of Nanoparticles

et al. 2021

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The emergence and rapid spread of multidrug-resistant bacteria strains are a public health concern. This emergence is caused by the overuse and misuse of antibiotics leading to the evolution of antibiotic-resistant strains. Nanoparticles (NPs) are objects with all three external dimensions in the nanoscale that varies from 1 to 100 nm. Research on NPs with enhanced antimicrobial activity as alternatives to antibiotics has grown due to the increased incidence of nosocomial and community acquired infections caused by pathogens. Machine learning (ML) tools have been used in the field of nanoinformatics with promising results. As a consequence of evident achievements on a wide range of predictive tasks, ML techniques are attracting significant interest across a variety of stakeholders. In this article, we present an ML tool that successfully predicts the antibacterial capacity of NPs while the model’s validation demonstrates encouraging results (R2 = 0.78). The data were compiled after a literature review of 60 articles and consist of key physico-chemical (p-chem) properties and experimental conditions (exposure variables and bacterial clustering) from in vitro studies. Following data homogenization and pre-processing, we trained various regression algorithms and we validated them using diverse performance metrics. Finally, an important attribute evaluation, which ranks the attributes that are most important in predicting the outcome, was performed. The attribute importance revealed that NP core size, the exposure dose, and the species of bacterium are key variables in predicting the antibacterial effect of NPs. This tool assists various stakeholders and scientists in predicting the antibacterial effects of NPs based on their p-chem properties and diverse exposure settings. This concept also aids the safe-by-design paradigm by incorporating functionality tools.

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Section: Introductionmentioning

confidence: 99%

A Machine Learning Tool to Predict the Antibacterial Capacity of Nanoparticles

et al. 2021

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“…Biofilms play important roles in the environment and medical and industrial fields ( 31 , 32 ), which promotes interest in biofilms as a research topic. However, research on biofilm mechanisms in the industrial field is relatively scarce.…”

Section: Discussionmentioning

confidence: 99%

Light Signaling Regulates Aspergillus niger Biofilm Formation by Affecting Melanin and Extracellular Polysaccharide Biosynthesis

Sun

Chen

et al. 2021

mBio

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Light is an important signal source in nature, which regulates the physiological cycle, morphogenetic pathways, and secondary metabolites of fungi. As an external pressure on Aspergillus niger, light signaling transmits stress signals into the cell via the mitogen-activated protein kinase (MAPK) signaling pathway. Studying the effect of light on the biofilm of A. niger will provide a theoretical basis for light in the cultivation of filamentous fungi and industrial applications. Here, the characterization of A. niger biofilm under different light intensities confirmed the effects of light signaling. Our results indicated that A. niger intensely accumulated protective mycelial melanin under light illumination. We also discovered that the RlmA transcription factor in the MAPK signaling pathway is activated by light signaling to promote the synthesis of melanin, chitin, and other exopolysaccharides. However, the importance of melanin to A. niger biofilm is rarely reported; therefore, we knocked out key genes of the melanin biosynthetic pathway—Abr1 and Ayg1. Changes in hydrophobicity and electrostatic forces resulted in the decrease of biofilm caused by the decrease of melanin in mutants. IMPORTANCE As an important industrial filamentous fungus, Aspergillus niger can perceive light. The link between light signaling and A. niger biofilm is worthy of further study since reports are lacking in this area. This study found that light signaling promotes biofilm production in A. niger, wherein melanin plays an important role. It was further discovered that the RlmA transcription factor in the mitogen-activated protein kinase (MAPK) signaling pathway was mediated by light signaling to promote the synthesis of melanin and extracellular polysaccharides. These findings set the stage for light signal regulation of biofilm in filamentous fungi and provide a theoretical basis for the development of a new light-controlled biofilm method to improve biofilm-based industrial fermentation.

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“…The maturity of the biofilm significantly influenced the antimicrobial efficacy of the atmospheric air plasma and airborne acoustic ultrasound process. For 96 h biofilms, it was observed (1)…”

Section: Effect Of Atmospheric Air Plasma Treatment and Airborne Acoumentioning

confidence: 94%

Inactivation efficacy of atmospheric air plasma and airborne acoustic ultrasound against bacterial biofilms

Patange

Simpson

Curtin

et al. 2021

Sci Rep

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Biofilms are complex microbial communities that present serious contamination risks to our environment and health. In this study, atmospheric air plasma and airborne acoustic ultrasound technology were applied to inactivate Escherichia coli and Listeria innocua biofilms. Both technologies were efficient in controlling, or completely inactivating, the target bacterial biofilms. Viability and metabolic assays, along with microscopy analysis, revealed that atmospheric air plasma and airborne acoustic ultrasound damaged both the bacterial biofilm cells and its structural integrity. Scanning electron microscopy images highlighted the disruption of the biofilms and pore formation in bacterial cells exposed to both the plasma and acoustic treatments. Elevated reactive oxygen and nitrogen species in bacterial cells treated with atmospheric air plasma, demonstrated their primary role in the observed bacterial inactivation process. Our findings provide potential antimicrobial strategies to combat bacterial biofilms in the food and healthcare sectors.

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Impact of environmental biofilms: Industrial components and its remediation

Cited by 62 publications

References 65 publications

A Machine Learning Tool to Predict the Antibacterial Capacity of Nanoparticles

A Machine Learning Tool to Predict the Antibacterial Capacity of Nanoparticles

Light Signaling Regulates Aspergillus niger Biofilm Formation by Affecting Melanin and Extracellular Polysaccharide Biosynthesis

Inactivation efficacy of atmospheric air plasma and airborne acoustic ultrasound against bacterial biofilms

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