Tomasz Puzyn

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University of Gdańsk

Poland

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Professor Tomasz Puzyn is a faculty member at the University of Gdańsk, Poland. His research focuses on nanoinformatics, nanomaterials, and the environmental impact of endocrine-disrupting chemicals. Recent contributions include studies on zeta potential, biomimetic chromatography, and predictive modeling techniques for nanomaterials and pollutants.

Recent Grants

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Innovative Nanoinformatics models and tools: towards a Solid, verified and Integrated Approach to Predictive (eco)Toxicology (NanoSolveIT)

Open Date: 2019-01-01

Close Date: 2023-02-01

Grant: Close

Risk Governance of Nanotechnology RiskGONE

Open Date: 2019-01-01

Close Date: 2023-02-28

Grant: Close

Risk Governance of Nanotechnology

Open Date: 2019-01-01

Close Date: 2023-02-28

Grant: Close

PATROLS - Physiologically Anchored Tools for Realistic nanomaterial hazard assessment

Open Date: 2018-01-01

Close Date: 2021-06-01

Grant: Close

Development and implementation of grouping and safe-by-design approaches within regulatory frameworks (NanoReg2)

Open Date: 2015-09-01

Close Date: 2018-08-01

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2022

Collaborators (11)

Dries Knapen

Associate professor

University of Antwerp

BELGIUM

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Elise Rundén-Pran

Senior scientist and Head of section Health Effects Laboratory

Norwegian Institute for Air Research

NORWAY

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Mihaela Roxana Cimpan

Professor, Dr.

University of Bergen

NORWAY

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Lucyna Kozlowska

Warsaw University of Life Sciences

POLAND

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Beate Conrady

Københavns Universitet

DENMARK

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Tomasz Grzyb

assistant proffesor

Adam Mickiewicz University

POLAND

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Ulla Vogel

Adjunct professor

Technical University of Denmark

DENMARK

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Piotr Skurski

Professor of Chemistry

University of Utah

UNITED STATES

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Anita Sosnowska

Assistant professor

University of Gdańsk

POLAND

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Guillermo Repetto

Prof. Toxicología

Universidad Pablo de Olavide

SPAIN

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Jaroslaw Polanski

Professor

University of Silesia

POLAND

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Tomasz Puzyn

Research Interests

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About

Recent Grants

Articles (27)

Understanding the zeta potential of nanomaterials through predictive nanoinformatics

Application of Biomimetic Chromatography and QSRR Approach for Characterizing Organophosphate Pesticides

PFAS (per- and polyfluorinated alkyl substances) as EDCs (endocrine-disrupting chemicals) - Identification of compounds with high potential to bind to selected terpenoids NHRs (nuclear hormone receptors)

A nano-SPR model for predicting the dissolution rate of metal and metal oxide nanomaterials in the aqueous environment

A rapid technique for approximating the zeta potential of metal oxide nanoparticles based on pH measurement and machine learning nano-QSPR models

Predicting biomolecule adsorption on nanomaterials: a hybrid framework of molecular simulations and machine learning

Exploring BPA alternatives – Environmental levels and toxicity review

A template wizard for the cocreation of machine-readable data-reporting to harmonize the evaluation of (nano)materials

Hybrid machine learning and experimental studies of antiviral potential of ionic liquids against P100, MS2, and Phi6

Visible-light photocatalytic activity of rare-earth-metal-doped TiO2: Experimental analysis and machine learning for virtual design

Assessment of the application of selected metal-organic frameworks as advanced sorbents in passive extraction used in the monitoring of contaminants of emerging concern in surface waters

Environmental impact of PFAS: Filling data gaps using theoretical quantum chemistry and QSPR modeling

How to describe the time-dependent dissolution of engineered nanomaterials?

Predicting zeta potential of liposomes from their structure: A nano-QSPR model for DOPE, DC-Chol, DOTAP, and EPC formulations

Toward Nano-Specific In Silico NAMs: How to Adjust Nano-QSAR to the Recent Advancements of Nanotoxicology?

The round-robin approach applied to nanoinformatics: consensus prediction of nanomaterials zeta potential

Retrosynthesis from transforms to predictive sustainable chemistry and nanotechnology: a brief tutorial review

Core, Coating, or Corona? The Importance of Considering Protein Coronas in nano-QSPR Modeling of Zeta Potential

How Does the Study MD of pH-Dependent Exposure of Nanoparticles Affect Cellular Uptake of Anticancer Drugs?

How the Structure of Per- and Polyfluoroalkyl Substances (PFAS) Influences Their Binding Potency to the Peroxisome Proliferator-Activated and Thyroid Hormone Receptors—An In Silico Screening Study

Towards higher scientific validity and regulatory acceptance of predictive models for PFAS

A bibliometric analysis of the recent achievements in pulmonary safety of nanoparticles

AOP173 key event associated pathway predictor – online application for the prediction of benchmark dose lower bound (BMDLs) of a transcriptomic pathway involved in MWCNTs-induced lung fibrosis

HBM4EU Chromates Study: Urinary Metabolomics Study of Workers Exposed to Hexavalent Chromium

Integrated Approach to Interaction Studies of Pyrene Derivatives with Bovine Serum Albumin: Insights from Theory and Experiment

Rapid colorimetric discrimination of cyanide ions – mechanistic insights and applications

Using AOP-Wiki to support the ecotoxicological risk assessment of nanomaterials: first steps in the development of novel adverse outcome pathways

Collaborators (11)

Dries Knapen

Elise Rundén-Pran

Mihaela Roxana Cimpan

Lucyna Kozlowska

Beate Conrady

Tomasz Grzyb

Ulla Vogel

Piotr Skurski

Anita Sosnowska

Guillermo Repetto

Jaroslaw Polanski

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