| Literature DB >> 28362344 |
Merja Ahonen1, Anne Kahru2,3, Angela Ivask4, Kaja Kasemets5, Siiri Kõljalg6, Paride Mantecca7, Ivana Vinković Vrček8, Minna M Keinänen-Toivola9, Francy Crijns10.
Abstract
Infections and infectious diseases are considered a major challenge to human health in healthcare units worldwide. This opinion paper was initiated by EU COST Action network AMiCI (AntiMicrobial Coating Innovations) and focuses on scientific information essential for weighing the risks and benefits of antimicrobial surfaces in healthcare settings. Particular attention is drawn on nanomaterial-based antimicrobial surfaces in frequently-touched areas in healthcare settings and the potential of these nano-enabled coatings to induce (eco)toxicological hazard and antimicrobial resistance. Possibilities to minimize those risks e.g., at the level of safe-by-design are demonstrated.Entities:
Keywords: antimicrobial resistance; copper; ecotoxicity; healthcare associated infections; nanomaterials; risk-benefit analysis; safety; silver
Mesh:
Substances:
Year: 2017 PMID: 28362344 PMCID: PMC5409567 DOI: 10.3390/ijerph14040366
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1The share of papers in ISI Web of Science (number and %) for different materials with antimicrobial properties within the pool of papers (3455 in sum) described by truncated search term ’antimicrobial coating’. The materials are presented as data labels. The number of papers in the category ‘other’ was calculated by subtracting papers for silver, copper, titanium, zinc, gold and chitosan from the total nr of papers for antimicrobial coatings (3455). The search was performed on 14 March 2017.
Figure 2Different types of AMCs: (a) antibacterial agent release-based coatings; (b) contact killing based surfaces; and (c) anti-adhesion surface with specifically designed surface topography. NMs are mostly applied in release-based or contact killing surfaces.
Median LC50 or EC50 for selected aquatic organisms and median MIC for bacteria for Ag, CuO and ZnO NPs summarised from the scientific literature. In the brackets next to the median value the number of data used to derive the median value is presented. Table is modified from [35] with permission of authors.
| Group of Organisms/Toxicity Endpoint | Median L(E)C50 ** or MIC *, on Compound Basis, mg/L | ||
|---|---|---|---|
| Ag NPs | CuO NPs | ZnO NPs | |
| Crustaceans (LC50) ** | 0.01 (17) | 2.1 (8) | 2.3 (10) |
| Algae (EC50) ** | 0.36 (17) | 2.8 (5) | 0.08 (5) |
| Fish (LC50) ** | 1.36 (17) | 100 (1) | 3.0 (4) |
| Bacteria (MIC) * | 7.10 (46) | 250 (13) | 622 (15) |
| Lowest L(E)C50, MIC | 0.01 | 2.1 | 0.08 |
| Most sensitive organisms | crustaceans | crustaceans | algae |
* MIC—minimal inhibitory concentration; ** L(E)C50—half-lethal or half-effective concentration.
Figure 3The main proposed mechanisms of AMR against antimicrobial compounds; a simplified scheme.
Figure 4Conceptual model for the development of antimicrobial resistance (AMR) in response to antibiotics, antimicrobial compounds, antimicrobial coatings (AMC) and cleaning agents, and transfer of AMR between different microbial populations: human, animal and environmental.
A set of key issues relevant for SbD approach.
| Issue | Description | Need |
|---|---|---|
| Identification/characterisation of NM-based biocidal agent | Knowledge on the key characteristics that influence the release, exposure, behaviour, effects and subsequent environmental and human risks of NMs. | Reasonably priced, accessible, standardized and validated methods and procedures to characterize NM in different media according to the EC definition. |
| Transformation of NM-based biocidal agent | Knowledge on the circumstances, extent and rate of dissolution; change of the structure of NM throughout the different stages of their life cycle. | Life Cycle Assessment in different biological and environmental matrices; standardized and validated methods to test or predict the extent and rates of the transformation of NMs. |
| Dose metrics | Dose that determines a particular response in a test system; production volume of the substance; dose levels at which toxicity effects are observed in experimental tests and which can be compared to the estimated exposure levels to estimate the risk. | Development and use of standardized protocols for sample preparation and characterization of NM within exposure and toxicity studies; identification of the most appropriate metrics for each type of NM within each specific route of exposure and toxicological endpoint. |
| Extrapolation | Information (on physico-chemical characteristics, exposure and/or hazard) of different forms, types and sizes of NMs (or the bulk material) for extrapolation, read across or grouping within the risk assessment of NMs. | Development of nano-specific approaches for extrapolation, interpolation, read across and grouping based on the key characteristics/properties that influence the release, exposure, behaviour (fate and kinetics), effects (hazards) and subsequent risks of NMs. |
| Fate and kinetics | Interaction of NMs with their environment that change their physico-chemical characteristics, including their surface composition, ability to aggregate, agglomerate and/or dissolve. | Knowledge on the key characteristics that influence the fate, behaviour and kinetics of NM with respect to the life cycle assessment of nanoproducts (including the release of NMs from products). |
Figure 5SbD approach in safe production and use of AMCs.