M. Gromelski

发表

Chemometric approach to correlations between retention parameters of non-polar HPLC columns and physicochemical characteristics for ampholytic substances of biological and pharmaceutical relevance.

T. Puzyn, J. Błażejowski, K. Jagiello, 2018, Journal of chromatography. B, Analytical technologies in the biomedical and life sciences.

Chemometric outlook on correlations between retention parameters of polar and semipolar HPLC columns and physicochemical characteristics of ampholytic substances of biological and pharmaceutical relevance

T. Puzyn, J. Błażejowski, K. Jagiello, 2018, Structural Chemistry.

Dispersive solid-phase extraction using multi-walled carbon nanotubes combined with liquid chromatography–mass spectrometry for the analysis of β-blockers: Experimental and theoretical studies

T. Puzyn, P. Stepnowski, K. Jagiello, 2019, Microchemical Journal.

The possibility to use multi-walled carbon nanotubes as a sorbent for dispersive solid phase extraction of selected pharmaceuticals and their metabolites: Effect of extraction condition

T. Puzyn, P. Stepnowski, K. Jagiello, 2019, Microchemical Journal.

NanoMixHamster: a web-based tool for predicting cytotoxicity of TiO2-based multicomponent nanomaterials toward Chinese hamster ovary (CHO-K1) cells

A. Rybińska-Fryca, T. Puzyn, A. Mikołajczyk, 2022, Nanotoxicology.

Hazard identification of nanomaterials: In silico unraveling of descriptors for cytotoxicity and genotoxicity

E. Wyrzykowska, T. Puzyn, E. Mariussen, 2022, Nano Today.

Modeling of Anticancer Sulfonamide Derivatives Lipophilicity by Chemometric and Quantitative Structure-Retention Relationships Approaches

Krzesimir Ciura, M. Pastewska, Hanna Kapica, 2022, Molecules.

Can an InChI for Nano Address the Need for a Simplified Representation of Complex Nanomaterials across Experimental and Nanoinformatics Studies?

Haralambos Sarimveis, Philip Doganis, Egon Willighagen, 2020, Nanomaterials.

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

A. Rybińska-Fryca, T. Puzyn, U. Vogel, 2022, Nanotoxicology.

Nanomaterial grouping: Existing approaches and future recommendations

Andrea Haase, Blanca Suarez-Merino, Nicklas Raun Jacobsen, 2019, NanoImpact.

Aquatic toxicity (Pre)screening strategy for structurally diverse chemicals: global or local classification tree models?

Noriyuki Suzuki, Maciej Gromelski, Agnieszka Gajewicz-Skretna, 2021, Ecotoxicology and environmental safety.

Risk Governance of Emerging Technologies Demonstrated in Terms of its Applicability to Nanomaterials.

Igor Linkov, Finbarr Murphy, Alena Bartonova, 2020, Small.

Towards FAIR nanosafety data

Isabel Rodríguez Llopis, T. Puzyn, N. Jacobsen, 2021, Nature Nanotechnology.

Prediction of the retention factor in cetyltrimethylammonium bromide modified micellar electrokinetic chromatography using a machine learning approach

Krzesimir Ciura, M. Gromelski, Izabela Fryca, 2023, Microchemical Journal.

Quantitative multi-species toxicity modeling: Does a multi-species, machine learning model provide better performance than a single-species model for the evaluation of acute aquatic toxicity by organic pollutants?

E. Wyrzykowska, M. Gromelski, Agnieszka Gajewicz-Skretna, 2022, The Science of the total environment.