Sulfidation as a Natural Antidote to Metallic Nanoparticles Is Overestimated: CuO Sulfidation Yields CuS Nanoparticles with Increased Toxicity in Medaka (<i>Oryzias latipes</i>) Embryos

Li, Lingxiangyu; Hu, Ligang; Zhou, Qunfang; Huang, Chunhua; Wang, Yawei; Sun, Cheng; Jiang, Guibin

doi:10.1021/es505878f

Cited by 60 publications

(39 citation statements)

References 46 publications

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“…48,49 The current knowledge on mechanistic fate/transformation reactions of ENMs in the environment does not allow modelers to predict the likelihood of how (many) particles of a given ENM have been transformed. 50 Many ENMs (e.g. However, recent toxicology data suggests it may be necessary to specifically model the further fate of the silver sulfides formed.…”

Section: Transformation Reactionsmentioning

confidence: 99%

Progress towards the validation of modeled environmental concentrations of engineered nanomaterials by analytical measurements

Nowack

Baalousha

Bornhöft

et al. 2015

Environ. Sci.: Nano

101

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Environmental exposure modeling has been used extensively in the last years to obtain estimates of environmental concentrations of engineered nanomaterials (ENMs). In this perspective piece, we explore the issues when aiming to validate modeled environmental concentrations and propose options for both modelers and analytical chemists on how to proceed in the future to better compliment one another's efforts. In this context, validation means to determine the degree to which the simulation results from a model are accurate representations of the real world by comparison with analytical data. Therefore, for such a model validation procedure, analytical methods need to be available which provide information in the same subject area. Currently, a major issue with nanometrology is that a multitude of nanomaterials are present in natural systems but only some are ENMs; various other particles of natural origin are abundant in the same systems. The analytical tools available are not yet capable to distinguish the natural from engineered nanomaterials at the low ENM concentrations expected in complex environmental matrices. However, both modeling and analytical studies are able to provide an orthogonal view on nanomaterials: modeling is able to yield estimates of the presence of ENMs in various environmental compartments while analytics can provide physical characterization of ENMs in these systems with hints towards the total nanomaterial concentration. While we need to make strides to improve the two approaches separately, using the resulting data together in a mutually supportive way will advance the field of ENM risk assessment. Nano impactModeling studies are used to obtain information on environmental exposure concentrations of engineered nanomaterials. All model systems, including those describing nanomaterial fate and transport, always call for a validation by analytical data. However, in this case, there are currently only very limited measurements available and, further complicating the issue, it is difficult to distinguish between natural and engineered nanomaterials in many circumstances. In this perspective article we raise the point that it is currently not possible to validate modeled data on engineered nanomaterial concentrations in the environment, but rather that modeling and analytics can be used in tandem to provide an orthogonal view on the presence of nanomaterials in the environment.

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Section: Transformation Reactionsmentioning

confidence: 99%

Progress towards the validation of modeled environmental concentrations of engineered nanomaterials by analytical measurements

Nowack

Baalousha

Bornhöft

et al. 2015

Environ. Sci.: Nano

101

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“…In other animal model toxicology studies of intravenously injected silica nanoparticles, hepatocyte necrosis and mononuclear inflammation at the portal area were observed [45], indicating the possibility of liver toxicity due to silica nanoparticles. Metal-based photothermal nanoagents, such as CuS, had some limitations associated with toxicity [31,46]. Feng et al [31] have suggested that CuS-based nanoparticles can serve as promising photothermal agents; however, their biodistribution study showed that intravenously administrated CuS nanomaterials were mainly present in the spleen, liver, and lung, organs that are responsible for eliminating pathogens via the reticuloendothelial system (RES).…”

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confidence: 99%

Biomimetic Gold Nanoshell-Loaded Macrophage for Photothermal Biomedicine

Kang

Lee

Park

et al. 2020

BioMed Research International

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The purpose of this study was to investigate the effect of photothermal treatment (PTT) with gold nanoshell (ANS) using a macrophage-mediated delivery system in a head and neck squamous cell carcinoma (HNSCC) cell line. To achieve this, ANSloaded rat macrophages (ANS-MAs) were prepared via the coculture method with ANS. The human HNSCC (FaDu cell) and macrophage (rat macrophage; NR8383 cell) hybrid spheroid models were generated by the centrifugation method to determine the possibility of using ANS-MAs as a cancer therapy. These ANS-MAs were set into the tumor and macrophage hybrid spheroid model to measure PTT efficacy. Kinetic analysis of the spheroid growth pattern revealed that this PTT process caused a decreasing pattern in the volume of the hybrid model containing ANS-MAs (p < 0:001). Comparison with empty macrophages showed harmony between ANS and laser irradiation for the generation of PTT. An annexin V/dead cell marker assay indicated that the PTT-treated hybrid model induced increasing apoptosis and dead cells. Further studies on the toxicity of ANS-MAs are needed to reveal whether it can be considered biocompatible. In summary, the ANS was prepared with a macrophage as the delivery method and protective carrier. The ANS was successfully localized to the macrophages, and their photoabsorption property was stationary. This strategy showed significant growth inhibition of the tumor and macrophage spheroid model under NIR laser irradiation. In vivo toxicology results suggest that ANS-MA is a promising candidate for a biocompatible strategy to overcome the limitations of fabricated nanomaterials. This ANS-MA delivery and PTT strategy may potentially lead to improvements in the quality of life of patients with HNSCC by providing a biocompatible, minimally invasive modality for cancer treatment.

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“…One can follow the procedures used by many researchers: addition of NPs to the solution, brief sonication as needed, mixing on an orbital shaker for the duration of the test to minimize mass transfer resistance, and periodic measurements using centrifugal filtration with a 3 or 10 kDa filter to separate ions from NPs (Liu et al, 2010;Ma et al, 2012). Testing may eventually lead to the need for a larger MWCO filter that includes metal-macromolecule complexes in the "filterable/ bioavailable fraction" to be measured in the test (Ma et al, 2014;Li et al, 2015). These are simple batch tests adaptable to any type of solution that best represents the system of interest (e.g.…”

Section: Samples Of System Typesmentioning

confidence: 99%

A functional assay-based strategy for nanomaterial risk forecasting

Hendren

Lowry

Unrine

et al. 2015

Science of The Total Environment

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The study of nanomaterial impacts on environment, health and safety (nanoEHS) has been largely predicated on the assumption that exposure and hazard can be predicted from physical-chemical properties of nanomaterials. This approach is rooted in the view that nanoöbjects essentially resemble chemicals with additional particle-based attributes that must be included among their intrinsic physical-chemical descriptors. With the exception of the trivial case of nanomaterials made from toxic or highly reactive materials, this approach has yielded few actionable guidelines for predicting nanomaterial risk. This article addresses inherent problems in structuring a nanoEHS research strategy based on the goal of predicting outcomes directly from nanomaterial properties, and proposes a framework for organizing data and designing integrated experiments based on functional assays (FAs). FAs are intermediary, semi-empirical measures of processes or functions within a specified system that bridge the gap between nanomaterial properties and potential outcomes in complex systems. The three components of a functional assay are standardized protocols for parameter determination and reporting, a theoretical context for parameter application and reference systems. We propose the identification and adoption of reference systems where FAs may be applied to provide parameter estimates for environmental fate and effects models, as well as benchmarks for comparing the results of FAs and experiments conducted in more complex and varied systems. Surface affinity and dissolution rate are identified as two critical FAs for characterizing nanomaterial behavior in a variety of important systems. The use of these FAs to predict bioaccumulation and toxicity for initial and aged nanomaterials is illustrated for the case of silver nanoparticles and Caenorhabditis elegans.

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Sulfidation as a Natural Antidote to Metallic Nanoparticles Is Overestimated: CuO Sulfidation Yields CuS Nanoparticles with Increased Toxicity in Medaka (Oryzias latipes) Embryos

Cited by 60 publications

References 46 publications

Progress towards the validation of modeled environmental concentrations of engineered nanomaterials by analytical measurements

Progress towards the validation of modeled environmental concentrations of engineered nanomaterials by analytical measurements

Biomimetic Gold Nanoshell-Loaded Macrophage for Photothermal Biomedicine

A functional assay-based strategy for nanomaterial risk forecasting

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