Jakub Erben

Assistant professor

Technical University of Liberec

Czech Republic

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About

Jakub Erben is an Assistant Professor at the Technical University of Liberec in the Czech Republic. His research focuses on advanced polymer technologies, specifically in the development of nanofibers and their applications in chromatography and environmental analysis. Recent publications highlight innovative methods for extracting contaminants from surface water and tissue regeneration using hybrid materials.

Articles (10)

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2026

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2026

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2026

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2025

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2024

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2024

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2024

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2024

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2024

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2024

Collaborators (1)

Jiří Brožek

University of Chemistry and Technology, Prague

CZECH REPUBLIC

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Jakub Erben

Research Interests

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Articles (10)

Advanced polymer nanofibers for the online extraction coupled with liquid chromatography for the determination of emerging fluorinated contaminants in surface water

Nanofibrous polyamide homopolymers and copolymers as advanced sorbents for on-line solid phase extraction coupled with liquid chromatography determination of polycyclic aromatic hydrocarbons

Programmable flow heart cutting solid phase extraction using polydopamine coated microfibrous sorbent as a front-end to UHPLC for direct determination of xenobiotic residues in surface water

Hybrid fibres: a new path in tissue regeneration

The alternating current electrospinning of aliphatic polyamides solutions enhanced with sulfuric acid

Polymeric Nanofibers and Microfibers: New Formats of Materials Used in Chromatography for Sample Preparation Using Solid Phase Extraction

Hybrid organosilane nanofibre scaffold formation supporting cell adhesion and growth

Supported liquid phase extraction using wetted nanofiber discs as a simple approach for in-vial extraction of chlorophenols and insecticides from river water prior to HPLC-DAD analysis

Advanced nanofibrous sorbents for the extraction of pollutants from river water and protein-containing matrices

Comparative study of drug release from electrospun nanofibers loaded with clotrimazole via two different approaches using a fully automated sequential injection system

Collaborators (1)

Jiří Brožek

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