Posted in | News

Micromeritics Delivers Unique, High Productivity Catalyst Evaluation Unit to Researchers at ETH Zurich

Micromeritics Instrument Corp., a leader in material characterization technology, has delivered a bespoke high productivity catalyst evaluation unit, the Micromeritics Multi Catalyst Reactor 4 – MR-4, to the advanced Catalysis engineering (aCe) group at ETH Zurich (Switzerland) to accelerate work on heterogeneous catalysts that address environmental and energy challenges. The group is led by Professor Javier Pérez-Ramírez, a prize-winning chemical engineer renowned for his work in this field. The new unit allows the group to generate high quality data at an unprecedented rate to enable the application of ‘digital’ catalyst development, machine-learning algorithms, and advanced statistical modelling to accelerate progress.

Digital catalyst development is in its infancy, but to unlock its potential we need to generate significant quantities of high-quality kinetic data. The new catalyst evaluation rig was acquired to deliver a step-change in our catalyst testing rate. The unit has four reactors that can simultaneously test four different catalysts or, alternatively, generate multiple data points for promising candidates. Our experimental throughput has now risen to a level of around 20 – 24 catalysts or 60 – 120 kinetic data points for each catalyst per week.

Professor Pérez-Ramírez, ETH Zurich

The aCe group has been working with Total S.A., the French multinational energy company, to develop a catalytic process for the efficient conversion of carbon dioxide, a waste gas, to methanol, a core chemical building block. The expansion of the carbon dioxide valorization program was a motivating factor for investing in a new unit. Micromeritics was selected to design and build the new reactor system following a rigorous assessment of different suppliers. Key to this decision was the company’s engineering expertise and the demonstrated functionality of proprietary software.

I knew exactly what I wanted this unit to be able to do and the demands associated with the chemistry we operate. A key problem that Micromeritics solved was to allow us to sample all the reactors in a timely way using just a single existing analyzer and the software is extremely robust and professional. The interface we have resembles what you would find in a commercial plant control room and its functionality directly underpins our efficiency.

Professor Pérez-Ramírez, ETH Zurich

Micromeritics has extensive experience of building bespoke equipment for customers, from tailored analytical units through to complete pilot plants. The design of the ETH Zurich unit means that samples are extracted from each reactor early in an experiment, to avoid missing critical events, and then effectively ‘queued’. This innovative solution avoids the need for dedicated gas chromatographs for each reactor. The integral software handles the large quantities of data generated extremely effectively. Key parameters such as selectivity, conversion and yield are displayed in real time and there is considerable flexibility to tailor reporting to experimental requirements. These capabilities boost efficiency, allowing researchers to change conditions in response to observed results, even during a run.

I’ve used Micromeritics products for a decade and working with the company on this project was always a pleasant experience. They are real experts in their field, but at the same time highly collaborative. We’re delighted with the new unit and the contribution it is already making to our research.

Professor Pérez-Ramírez, ETH Zurich

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.