Presence Of Engineered Nanomaterials Research Articles

Engineered Nanomaterials in Soil: Their Impact on Soil Microbiome and Plant Health.

A staggering number of nanomaterials-based products are being engineered and produced commercially. Many of these engineered nanomaterials (ENMs) are finally disposed into the soil through various routes in enormous quantities. Nanomaterials are also being specially tailored for their use in agriculture as nano-fertilizers, nano-pesticides, and nano-based biosensors, which is leading to their accumulation in the soil. The presence of ENMs considerably affects the soil microbiome, including the abundance and diversity of microbes. In addition, they also influence crucial microbial processes, such as nitrogen fixation, mineralization, and plant growth promoting activities. ENMs conduct in soil is typically dependent on various properties of ENMs and soil. Among nanoparticles, silver and zinc oxide have been extensively prepared and studied owing to their excellent industrial properties and well-known antimicrobial activities. Therefore, at this stage, it is imperative to understand how these ENMs influence the soil microbiome and related processes. These investigations will provide necessary information to regulate the applications of ENMs for sustainable agriculture and may help in increasing agrarian production. Therefore, this review discusses several such issues.

Disclosure of Nanomaterials under Nanotechnology Product Inventory, Voluntary Certification, and Voluntary Labelling

Nanotechnology has revolutionised the food industry and flooded the consumers’ market worldwide with engineered nanomaterials (ENMs), creating concerns on potential risks towards safety and health. This article analyses the institutional approach for disclosure of information on the presence of ENMs in food products and their limitations. It adopts a doctrinal approach and content analysis by examining relevant literature on disclosure of nanomaterials from journal articles and books from online databases and institutional websites. To overcome the limitations of the institutional approach of nanotechnology product inventories, voluntary certification programme, and voluntary labelling, this article proposes that the information disclosed must be in full and accurate. More importantly, the information on potential risks of exposure, use of nanotechnology, or presence of nanomaterials must be verified and constantly updated. This study hopes to significantly contribute to improving the transparency of nanofood information systems.

Potential risks posed by the use of nano-enabled construction products: A perspective from coordinators for safety and health matters

Abstract: The use of engineered nanomaterials (ENMs) in the construction sector is a newly emerging risk as there is limited knowledge about this topic. This paper studies the potential risk of nano-enabled construction products and how these are being addressed by Coordinators for safety and health matters. Firstly, a compendium of safety data sheets (SDSs) for these products and publications about the potential for nano-exposure were analysed. Secondly, a questionnaire was sent by email to a representative sample of Coordinators in Andalusia (Spain). The key findings were that practically none of the SDSs mentioned nano-specific data and the activities that involve nanomaterials in powder form or for spraying are the riskiest. From the survey, it seems that nano-enabled construction products are widely known about, but the use of nanomaterials is very limited. The nanorisks are unknown and rarely mentioned in work safety documents. It can be concluded that, a potential relationship between hazardous profile of the product and presence of ENMs is excluded. Although the use of nanotechnology in the construction site is at an early stage, workers have already been exposed to ENMs in critical activities and risk management is not being addressed.

Mussel-inspired 3D fiber scaffolds for heart-on-a-chip toxicity studies of engineered nanomaterials.

Due to the unique physicochemical properties exhibited by materials with nanoscale dimensions, there is currently a continuous increase in the number of engineered nanomaterials (ENMs) used in consumer goods. However, several reports associate ENM exposure to negative health outcomes such as cardiovascular diseases. Therefore, understanding the pathological consequences of ENM exposure represents an important challenge, requiring model systems that can provide mechanistic insights across different levels of ENM-based toxicity. To achieve this, we developed a mussel-inspired 3D microphysiological system (MPS) to measure cardiac contractility in the presence of ENMs. While multiple cardiac MPS have been reported as alternatives to in vivo testing, most systems only partially recapitulate the native extracellular matrix (ECM) structure. Here, we show how adhesive and aligned polydopamine (PDA)/polycaprolactone (PCL) nanofiber can be used to emulate the 3D native ECM environment of the myocardium. Such nanofiber scaffolds can support the formation of anisotropic and contractile muscular tissues. By integrating these fibers in a cardiac MPS, we assessed the effects of TiO2 and Ag nanoparticles on the contractile function of cardiac tissues. We found that these ENMs decrease the contractile function of cardiac tissues through structural damage to tissue architecture. Furthermore, the MPS with embedded sensors herein presents a way to non-invasively monitor the effects of ENM on cardiac tissue contractility at different time points. These results demonstrate the utility of our MPS as an analytical platform for understanding the functional impacts of ENMs while providing a biomimetic microenvironment to in vitro cardiac tissue samples. Graphical Abstract Heart-on-a-chip integrated with mussel-inspired fiber scaffolds for a high-throughput toxicological assessment of engineered nanomaterials.

Accurate and interpretable nanoSAR models from genetic programming-based decision tree construction approaches

The number of engineered nanomaterials (ENMs) being exploited commercially is growing rapidly, due to the novel properties they exhibit. Clearly, it is important to understand and minimize any risks to health or the environment posed by the presence of ENMs. Data-driven models that decode the relationships between the biological activities of ENMs and their physicochemical characteristics provide an attractive means of maximizing the value of scarce and expensive experimental data. Although such structure–activity relationship (SAR) methods have become very useful tools for modelling nanotoxicity endpoints (nanoSAR), they have limited robustness and predictivity and, most importantly, interpretation of the models they generate is often very difficult. New computational modelling tools or new ways of using existing tools are required to model the relatively sparse and sometimes lower quality data on the biological effects of ENMs. The most commonly used SAR modelling methods work best with large datasets, are not particularly good at feature selection, can be relatively opaque to interpretation, and may not account for nonlinearity in the structure–property relationships. To overcome these limitations, we describe the application of a novel algorithm, a genetic programming-based decision tree construction tool (GPTree) to nanoSAR modelling. We demonstrate the use of GPTree in the construction of accurate and interpretable nanoSAR models by applying it to four diverse literature datasets. We describe the algorithm and compare model results across the four studies. We show that GPTree generates models with accuracies equivalent to or superior to those of prior modelling studies on the same datasets. GPTree is a robust, automatic method for generation of accurate nanoSAR models with important advantages that it works with small datasets, automatically selects descriptors, and provides significantly improved interpretability of models.