Themed collection In Celebration of Klavs Jensen’s 70th Birthday

With the ever-increasing demand for plastics, sustainable recycling methods is a key necessity.

Sustainable processes by completing biocatalytic conversions and recovering products completely.

A review of the developments in biocatalysis using upper critical solution temperature (UCST)-type polymer-immobilized enzymes.

This review highlights the advantages of incorporating Process Analytical Technologies into continuous flow processes, especially in the context of telescoped multistep flow sequences.

This review article provides a detailed overview of the synthesis techniques of biomass-based graphene aerogels and highlights the influence of fabrication parameters on the performance of the resulting aerogels for wastewater treatment applications.

We present a digital framework for rapid multi-objective reaction space exploration and optimization of homogeneous catalytic reactions through autonomous experimentation and Bayesian optimization.

We present a microrectification platform to separate binary mixtures using 3D printed structures for enhanced mass transfer. Our approach (experiment and simulation) offers an effective solution for separation of liquids with close boiling points.

Upcycling PMMA to methacrylic acid rather than methyl methacrylate is a viable economic alternative to treat end-of-life plastic.

MgO promoted with molten alkali salts and CaCO₃ displayed efficient CO₂ capture activity in a fixed bed reactor, attaining 75% CO₂ removal at 275 °C and stable cyclic performance, with the promoters providing an alternative carbonation mechanism.

A reactor's heat transfer efficiency can be significantly enhanced and the fluid temperature uniformity can be controlled through introducing cooling water in the agitator and regulating the flow ratio of cooling water in the agitator and jacket.

Here we demonstrate that Ga,Al-*BEA zeolites are effective bifunctional catalysts for para-xylene (p-xylene) production from bio-derived 2,5-dimethylfuran (DMF) through tandem Diels–Alder/dehydration reactions.

Perovskites were utilized as a tunable layer to control crystallization and preferential orientation of energetic material thin films.

Flow chemistry has greatly expanded the reaction toolbox by demonstrating a wide range of individual chemical transformations.

In this work, we investigate how radio frequency heating of admixture of catalyst and RF susceptor can drive the propane dehydrogenation reaction, enabling distributed chemical manufacturing based on electric power rather than fossil fuel heating.

An ultra-high vacuum setup was conceived to study Knudsen diffusion in channels with varied geometrical characteristics that can be modified using 3D printing. This new experimental methodology aids to gain insight into diffusion in nanoporous media.

Wirelessly powering μLEDs within packed bed reactors enables scalable, continuous, green chemical manufacturing by overcoming classical light penetration limits.

This study reports efforts toward the integrated advanced manufacturing of the anti-narcoleptic drug modafinil via flow chemistry and continuous crystallization.

Collagen I, the most abundant protein of the extracellular matrix, has found widespread use in three-dimensional cell culture, and increasingly also in bioprinting and biofabrication applications.

Multi-scale upcycling of PPG polymer synthesizes propionaldehyde in 95% selectivity & 86% yield.

From screening conditions in batch to scaling up in continuous flow, we offer photochemical systems tailored to your needs. Simply download the files and start printing!

The acceleration of drug substance process development is realized by employing data-rich experimentation, optimization algorithms, and data-driven modeling techniques.

A combustion-based thermoelectric generator was optimized to yield ∼6 W of power from a single refuellable device, apt for mission-critical and niche applications.

This study can act as a guideline for printing high-performance heat exchangers using diverse 3D printing technology for resin formulation.

A low-cost, user-friendly circular photoreactor is designed via 3D printing and off-the-shelf electronics. It enables experimentation across wavelengths and scales from micro to multigram for the production of libraries.

TiO₂ films photo-catalyze S. aureus rupture and mineralization of resulting organic materials.

The performance of selective hydrogenation reactions is affected by mass transfer limitations, induced by higher local metal loading and larger catalyst grain size.

This work highlights novel helical inserts as micromixers with interesting features: straightforward to adapt to a conventional tubing, high mixing efficiency and complete regeneration in the case of fouling as it can be disassembled from the tubing.

This paper demonstrates a continuous flow pilot-scale production of highly porous mesoporous silica particles (MSPs) via a soft template based technique.

Solvent free minimizes difficult to purge impurity continuous flow via stacked plate reactor.

Exploring the impact of periodic reaction conditions on hydrogen production in methane partial oxidation on Pt/Al₂O₃ catalyst.

Development of a machine learning algorithm for automatically training subgraph isomorphic decision trees (SIDT) to predict reaction rate coefficients.

Polypropylene reactor alloys with distinct structures were synthesized, and machine learning models were developed to reveal the relationship between the process–structure–properties and optimize process conditions.

Continuous synthesis of ruthenium nanoparticles with controllable sizes between 2–4 nm in the absence of organic capping ligands.

Microkinetic model quantitatively captures conditions under which thermal oligomerization of ethylene leads to broad product distribution of linear alkenes with both even and odd carbon numbers.

Ni/YSZ is a benchmark material for solid oxide fuel cells (SOFCs) but suffers from both Ni agglomeration and carbon deposition when hydrocarbons are used as fuels. Sol–gel-prepared catalysts offer superior activities.

Mesitylene benzylation kinetics enable quantification of dilute amounts of external H⁺ sites in surface passivated MFI zeolites that are not assessable by conventional spectroscopic or titrimetric techniques.

In the oxidative dehydrogenation of propane over boron nitride, propylene selectivity is lost due to unselective gas-phase chemistry.

During chemical looping combustion with oxygen uncoupling (CLOU) fuel-sulfur species impact the reactivity of Cu–Mn oxide oxygen carrier with CH₄. SO₂ oxidation to SO₃ competes with fuel for available O₂ and lowers CH₄ conversion.

Insights from data-driven surrogate models reveal that the Sherwood number characterizes mass transport conditions independent of the convection method, offering design guidelines for scaling up organic electrosynthesis.

An automated flow chemistry platform was designed to collect data for a lithium-halogen exchange reaction. The data was used to train a Bayesian multi-objective optimization algorithm to optimize the process parameters and build process knowledge.

A new microfluidic tool, using hydrogel photopolymerization, was developed to selectively immobilize the head region of C. elegans for simultaneous recording of its neuronal activity and tail movement.

The synthesis of 2-pyrazolines from aldehydes via cycloaddition of unstabilised diazo species and alkenes is reported, including automated library generation and graphical interface for reaction control.

A flow technique for rapid investigation of the effects of solvents mixtures on organic transformations was developed. Reaction information against a full range of binary or ternary solvent mixture composition was obtained in a time efficient manner.

The combination of transient flow experiments with process analytical technology (PAT) enables the rapid characterization and kinetic modelling of a complex ketone hydrogenation, catalyzed by catalytic static mixers (CSMs).

A Python-TensorFlow tool that learns chemical kinetics (LearnCK) for systematic and automatic reduction of microkinetic models using artificial neural networks (NNs).

A sonicated electrochemical multi-reactor setup is demonstrated for continuous-flow seATRP.