Where is the nano? Analytical approaches for the detection and quantification of TiO2 engineered nanoparticles in surface waters

2018 ◽  
Vol 5 (2) ◽  
pp. 313-326 ◽  
Author(s):  
Andreas Gondikas ◽  
Frank von der Kammer ◽  
Ralf Kaegi ◽  
Olga Borovinskaya ◽  
Elisabeth Neubauer ◽  
...  
Keyword(s):  
Surface Waters ◽  
Engineered Nanoparticles ◽  
Environmental Matrices ◽  
Natural Nanoparticles ◽  
Analytical Approaches ◽  
Detection And Quantification

Detecting and quantifying engineered nanoparticles (ENPs) in complex environmental matrices requires the distinction between natural nanoparticles (NNPs) and ENPs.

Detection and Quantification of Human Adenoviruses in Surface Waters by Nested PCR, TaqMan Real-Time PCR and Cell Culture Assays

2007 ◽  
Vol 191 (1-4) ◽  
pp. 83-93 ◽  
Author(s):  
M. Muscillo ◽  
M. Pourshaban ◽  
M. Iaconelli ◽  
S. Fontana ◽  
A. Di Grazia ◽  
...  
Keyword(s):  
Cell Culture ◽  
Real Time ◽  
Surface Waters ◽  
Real Time Pcr ◽  
Nested Pcr ◽  
Human Adenoviruses ◽  
Detection And Quantification

Imaging of engineered nanoparticles and their aggregates under fully liquid conditions in environmental matrices

2009 ◽  
Vol 43 (13) ◽  
pp. 3335-3343 ◽  
Author(s):  
Karen Tiede ◽  
Steven P. Tear ◽  
Helen David ◽  
Alistair B.A. Boxall
Keyword(s):  
Engineered Nanoparticles ◽  
Environmental Matrices

Setting the limits for engineered nanoparticles in European surface waters – are current approaches appropriate?

2009 ◽  
Vol 11 (10) ◽  
pp. 1774 ◽  
Author(s):  
Anders Baun ◽  
Nanna B. Hartmann ◽  
Khara D. Grieger ◽  
Steffen Foss Hansen
Keyword(s):  
Surface Waters ◽  
Engineered Nanoparticles

Validation of methods for the detection and quantification of engineered nanoparticles in food

2013 ◽  
Vol 138 (2-3) ◽  
pp. 1959-1966 ◽  
Author(s):  
T.P.J. Linsinger ◽  
Q. Chaudhry ◽  
V. Dehalu ◽  
P. Delahaut ◽  
A. Dudkiewicz ◽  
...  
Keyword(s):  
Engineered Nanoparticles ◽  
Validation Of Methods ◽  
Detection And Quantification

scholarly journals A Review on the Environmental Fate Models for Predicting the Distribution of Engineered Nanomaterials in Surface Waters

2020 ◽  
Vol 21 (12) ◽  
pp. 4554
Author(s):  
Edward Suhendra ◽  
Chih-Hua Chang ◽  
Wen-Che Hou ◽  
Yi-Chin Hsieh
Keyword(s):  
Surface Waters ◽  
Environmental Fate ◽  
Flow Analysis ◽  
Material Flow Analysis ◽  
Engineered Nanomaterials ◽  
Environmental Matrices ◽  
Quantitative Measurements ◽  
Predicted Environmental Concentrations ◽  
Averaged Models ◽  
Analysis Models

Exposure assessment is a key component in the risk assessment of engineered nanomaterials (ENMs). While direct and quantitative measurements of ENMs in complex environmental matrices remain challenging, environmental fate models (EFMs) can be used alternatively for estimating ENMs’ distributions in the environment. This review describes and assesses the development and capability of EFMs, focusing on surface waters. Our review finds that current engineered nanomaterial (ENM) exposure models can be largely classified into three types: material flow analysis models (MFAMs), multimedia compartmental models (MCMs), and spatial river/watershed models (SRWMs). MFAMs, which is already used to derive predicted environmental concentrations (PECs), can be used to estimate the releases of ENMs as inputs to EFMs. Both MCMs and SRWMs belong to EFMs. MCMs are spatially and/or temporally averaged models, which describe ENM fate processes as intermedia transfer of well-mixed environmental compartments. SRWMs are spatiotemporally resolved models, which consider the variability in watershed and/or stream hydrology, morphology, and sediment transport of river networks. As the foundation of EFMs, we also review the existing and emerging ENM fate processes and their inclusion in recent EFMs. We find that while ENM fate processes, such as heteroaggregation and dissolution, are commonly included in current EFMs, few models consider photoreaction and sulfidation, evaluation of the relative importance of fate processes, and the fate of weathered/transformed ENMs. We conclude the review by identifying the opportunities and challenges in using EFMs for ENMs.

Enantioselective determination of ibuprofen residues by chiral liquid chromatography: a systematic study of enantiomeric transformation in surface water and sediments

2016 ◽  
Vol 13 (4) ◽  
pp. 656 ◽  
Author(s):  
María Eugenia León-González ◽  
Noelia Rosales-Conrado
Keyword(s):  
Liquid Chromatography ◽  
Surface Water ◽  
Surface Waters ◽  
Solid Phase ◽  
Multivariate Techniques ◽  
Enantioselective Separation ◽  
Environmental Matrices ◽  
Ibuprofen Enantiomers ◽  
Shed Light

Environmental context Ibuprofen, a common anti-inflammatory drug and one of many pharmaceuticals sold as a mixture of enantiomers, has recently been found in river and surface waters. There are, however, few analytical methods able to separate and accurately measure ibuprofen enantiomers in environmental matrices. This study reports a method for quantifying ibuprofen enantiomers in sediments and surface water, and applies it to shed light on the degradation and fate of the enantiomers in aquatic systems. Abstract The enantioselective composition of ibuprofen in sediments in contact with surface water was evaluated over 168h in the presence and absence of light. Multivariate techniques applied for the evaluation of enantiomeric fraction (EF) and recoveries of enantiomers in water and sediments show differences in the EF and composition of each enantiomer. In sediments, differences in the EF are a result of the presence or absence of light, whereas in water it is attributable to degradation of the two enantiomers with time. To achieve enantioselective separation of ibuprofen in surface water and sediments, a clean-up and preconcentration procedure using solid phase extraction combined with a direct chiral liquid chromatography–ultraviolet method was developed. Quantitation limits of the proposed method were between 0.12 and 0.15µgg–1 for each enantiomer in sediments, and between 2.4 and 3.0µgL–1 in surface water. Intra- and inter-day precisions were between 5.1 and 8.9%. Multivariate techniques can be useful to identify enantiomeric modifications and to select the variables that should be used for modelling such transformations.

Application of metagenomics to assess microbial communities in water and other environmental matrices

2015 ◽  
Vol 96 (1) ◽  
pp. 121-129 ◽  
Author(s):  
Christopher Staley ◽  
Michael J. Sadowsky
Keyword(s):  
Public Health ◽  
Microbial Communities ◽  
Surface Waters ◽  
Environmental Samples ◽  
Subsequent Development ◽  
Complete Characterization ◽  
Human Pathogens ◽  
Environmental Matrices ◽  
Sequencing Technologies ◽  
Anthropogenic Inputs

The emergence of metagenomics-based approaches in biology has overcome historical culture-based biases in microbiological studies. This has also enabled a more comprehensive assessment of the microbial ecology of environmental samples. The subsequent development of next-generation sequencing technologies, able to produce hundreds of millions of sequences at improved cost and speed, necessitated a computational shift from user-supervised alignment and analysis pipelines, that were used previously for vector-based metagenomic studies that relied on Sanger sequencing. Current computational advances have expanded the scope of microbial biogeography studies and offered novel insights into microbial responses to environmental variation and anthropogenic inputs into ecosystems. However, new biostatistical and computational approaches are required to handle the large volume and complexity of these new multivariate datasets. While this has allowed more complete characterization of taxonomic, phylogenetic and functional microbial diversity, these tools are still limited by methodological biases, incomplete databases, and the high cost of fully characterizing environmental biodiversity. This review addresses the evolution of methods to monitor surface waters and characterize environmental samples through the recent computational advances in metagenomics, with an emphasis on the study of surface waters. These new methods have provided an abundance of opportunities to expand our understanding of the interaction between microbial communities and public health. Specifically, they have allowed for comprehensive monitoring of bacterial communities in surface waters for changes in community structure associated with faecal contamination and the presence of human pathogens, rather than relying on only a few indicator bacteria to direct public health concerns.

Express It in Numbers: Efforts to Quantify Engineered Nanoparticles in Environmental Matrices Advance

2012 ◽  
Vol 46 (22) ◽  
pp. 12243-12245 ◽  
Author(s):  
Desiree L. Plata ◽  
P. Lee Ferguson ◽  
Paul Westerhoff
Keyword(s):  
Engineered Nanoparticles ◽  
Environmental Matrices
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