Martin Lahn Henriksen

Assistant Professor

Aarhus University

Denmark

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About

Martin Lahn Henriksen is an Assistant Professor at Aarhus University in Denmark. His research primarily focuses on materials science and chemical engineering, with recent publications that include work on redox compounds, machine learning applications in hyperspectral imaging, and advanced recycling techniques for polymers. He also explores innovative methods for CO2 capture and the synthesis of new quinone compounds.

Articles (18)

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2025

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2025

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2025

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

Collaborators (7)

Anders Thyboe Lindhardt

Associate Professor

Aarhus University

DENMARK

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Pernille Klarskov Pedersen

Aarhus University

DENMARK

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Kathrin H. Hopmann

Full Professor

UiT Norges arktiske universitet

NORWAY

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Georgiana Amariei

Universidad de Alcalá

SPAIN

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Emil Dražević

Aarhus University

DENMARK

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Mogens Hinge

Aarhus University

DENMARK

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Jonathan Quinson

Aarhus University

DENMARK

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Martin Lahn Henriksen

Research Interests

Contact this professor

About

Articles (18)

A Scalable Synthesis of a New Quasi‐Reversible Redox Compound with a High Positive Redox Potential

Quantitative identification of melamine flame retardant in polyolefins with hyperspectral imaging and machine learning

Classification of commercial plastics using hyperspectral long wave infrared emission imaging

A review of metal-organic frameworks and polymers in mixed matrix membranes for CO2 capture

Dissolution recycling for recovery of polypropylene and glass fibres

Scalable Synthesis and Characterisation of a Liquid 2,3,5,6-tetraallylbenzene-1,4-diol Quinone

The Perry project: A versatile low-cost syringe pump for dispensing in automated synthesis systems

Estimation of pigment concentration in LDPE via in-line hyperspectral imaging and machine learning

Lignocellulose Conversion via Catalytic Transformations Yields Methoxyterephthalic Acid Directly from Sawdust

A modular low-cost automated synthesis machine demonstrated by Ring-Opening Metathesis Polymerization

A modular low-cost automated synthesis machine demonstrated by ring-opening metathesis polymerization

In-line identification of Pb-based pigments in fishing nets and ropes based on hyperspectral imaging and machine learning

In-line quantitative estimation of ammonium polyphosphate flame retardant in polyolefins via industrial hyperspectral imaging system and machine learning

Selective chemical disassembly of elastane fibres and polyurethane coatings in textiles

One step calibration of industrial hyperspectral cameras

Plastic classification via in-line hyperspectral camera analysis and unsupervised machine learning

Postfunctionalization of Self-Immolative Poly(dithiothreitol) Using Steglich Esterification

Can computers help us recycle more plastic?

Collaborators (7)

Anders Thyboe Lindhardt

Pernille Klarskov Pedersen

Kathrin H. Hopmann

Georgiana Amariei

Emil Dražević

Mogens Hinge

Jonathan Quinson

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