Interaction between nanoparticulate anatase TiO2 and lactate dehydrogenase

Hazard Screening Methods for Nanomaterials: A Comparative Study

Hazard identification is the key step in risk assessment and management of manufactured nanomaterials (NM). However, the rapid commercialisation of nano-enabled products continues to out-pace the development of a prudent risk management mechanism that is widely accepted by the scientific community and enforced by regulators. However, a growing body of academic literature is developing promising quantitative methods. Two approaches have gained significant currency. Bayesian networks (BN) are a probabilistic, machine learning approach while the weight of evidence (WoE) statistical framework is based on expert elicitation. This comparative study investigates the efficacy of quantitative WoE and Bayesian methodologies in ranking the potential hazard of metal and metal-oxide NMs—TiO₂, Ag, and ZnO. This research finds that hazard ranking is consistent for both risk assessment approaches. The BN and WoE models both utilize physico-chemical, toxicological, and study type data to infer the hazard potential. The BN exhibits more stability when the models are perturbed with new data. The BN has the significant advantage of self-learning with new data; however, this assumes all input data is equally valid. This research finds that a combination of WoE that would rank input data along with the BN is the optimal hazard assessment framework.

Metal nanobullets for multidrug resistant bacteria and biofilms

Infectious diseases were one of the major causes of mortality until now because drug-resistant bacteria have arisen under broad use and abuse of antibacterial drugs. These multidrug-resistant bacteria pose a major challenge to the effective control of bacterial infections and this threat has prompted the development of alternative strategies to treat bacterial diseases. Recently, use of metallic nanoparticles (NPs) as antibacterial agents is one of the promising strategies against bacterial drug resistance. This review first describes mechanisms of bacterial drug resistance and then focuses on the properties and applications of metallic NPs as antibiotic agents to deal with antibiotic-sensitive and -resistant bacteria. We also provide an overview of metallic NPs as bactericidal agents combating antibiotic-resistant bacteria and their potential in vivo toxicology for further drug development.

Models for oral uptake of nanoparticles in consumer products

Presently, many consumer products contain nano-sized materials (NMs) to improve material properties, product quality and ease of use. NMs in food additives and in cosmetic articles (e.g., tooth paste) may be taken up by the oral route. As adverse effects of environmental nanoparticles, like ultrafine particles, have been reported, consumers worry about potential risks when using products containing NMs. The review focuses on metal and metal oxide NMs as common additives in tooth paste and in food industry and exposure by the oral route. Testing of NMs for oral exposure is very complex because differences in the diet, in mucus secretion and composition, in pH, in gastrointestinal transit time and in gastrointestinal flora influence NM uptake. Acellular (mucus, saliva) and epithelial layer of the orogastrointestinal barrier are described. Expected exposure doses, interaction of the NMs with mucus and permeation through the epithelium as well as in vivo data are mentioned. The role of in vitro models for the study of parameters relevant for ingested NMs is discussed.