Produktbild: Nanosafety

Nanosafety A Comprehensive Approach to Assess Nanomaterial Exposure on the Environment and Health

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

12.08.2025

Abbildungen

XIII, 68 illus., 60 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Ernesto Alfaro-Moreno + weitere

Verlag

Springer

Seitenzahl

597

Maße (L/B/H)

24,1/16/3,9 cm

Gewicht

1072 g

Sprache

Englisch

ISBN

978-3-031-93870-2

Beschreibung

Portrait

Dr. Ernesto Alfaro-Moreno obtained his Ph.D. in Biomedicals Sciences (2004). From 2006 to 2008 he was a postdoctoral fellow at the Lung Toxicology Unit of the K.U. Leuven, developing novel in vitro models to assess lung-vascular communication. From 2008 until 2015, he was head of the Environmental Health Laboratory at the National Cancer Institute of Mexico. From 2015, until 2020, he led a project on Inhaled Particles, at Swetox/Karolinska Institutet. Since June 2020, he leads the Nanosafety Group at the International Iberian Nanotechnology Laboratory (INL). He has published over 40 articles in the field of inhaled particles, air pollution and nanosafety, with over 2,600 citations.

Dr. Fiona Murphy is a Lecturer in Immunology and Pharmacology at the Strathclyde Institute of Pharmacy and Biomedical Sciences at University of Strathclyde. She received her Ph.D. in Particle Toxicology at the University of Edinburgh, under the supervision of Prof Ken Donaldson. From 2011-2014, she was a postdoctoral fellow at the MRC Toxicology Unit in Leicester, UK. From 2014-2018, she was a research assistant at the Centre for Inflammation Research at University of Edinburgh. From 2018-2022, she was a postdoctoral research associate at Heriot-Watt University in the NanoSafety group developing Integrated Approaches for Testing and Assessment to support grouping and read-across of nanomaterial hazard. Fiona’s current research focuses on the development of physiologically-relevant in vitro models to reduce the reliance on rodent models for hazard assessment of novel materials and to improve our understanding of the underlying mechanism of particle-related lung disease.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

12.08.2025

Abbildungen

XIII, 68 illus., 60 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Verlag

Springer

Seitenzahl

597

Maße (L/B/H)

24,1/16/3,9 cm

Gewicht

1072 g

Sprache

Englisch

ISBN

978-3-031-93870-2

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

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  • Produktbild: Nanosafety
  • Nanotoxicology probing established paradigms using innovative approaches.- Use of sensors to provide real time assessment of cellular responses to nanomaterials in in vitro systems.- Recreating physi logical events using advanced in vitro models.- Emerging strategies for nanosafety assessment the power of multiplexing.- Genotoxicity and Epigenetics How nanomaterials interact with DNA and gene expression.- Section Two Bridging in vitro in vivo models Assessing nanomaterial hazard with lower tier organisms, reducing reliance on rodent models and ensuring sustainability in nanosafety approaches.- Caenorhabditis elegans as a model organism to probe nanosafety from morphological to molecular approach.- Drosophila melanogaster a dynamic in vivo model to study nano bio interactions.- Zebrafish embryos as a tool for nanomaterials hazard assessment.- Daphnia as a model organism in econanotoxicity assessment from individual to population effects.- Organ on a chip and nanosafety The latest in vitro platforms to predict hazard and streamline nanosafety assessment.- Skin on a chip.- Lung on a chip.- Gut on a chip.- Systems on a chip.- Computational approaches to nanosafety From traditional QSAR to Artificial Intelligence and Life Cycle Assessment.- Leveraging Opportunities for Computer Aided Nanosafety Integrating Nano QSTR with AI Generalized Read Across Models.- Advanced Structure Based Docking Protocols for Complex Nano Mixtures Risk Assessment.- Building Multiple Machine Learning Classifiers to Address Nanomaterial Risks Assessment.- Life Cycle Assessment a broader view of nanomaterials beyond biological effects.