News Picture Generic

Sinopec Research Institute of Petroleum Processing reports on the successful implementation of Chemspeed’s enabling, automated zeolite synthesis workflow

February 3, 2014

Prof. Xuhong Mu and Prof. Yongrui Wang from Sinopec Research Institute of Petroleum Processing state: “Chemspeed’s AUTOPLANT ZEO Robotic Platform together with the Workflow Management Software provides faster and better zeolite synthesis. Reproducibilities over 20 fully automated 100mL reactors per run are within ±5%. The physico-chemical properties of zeolites produced proved to be scalable to 2-Liter stainless-steel autoclave. Varying a suite of raw materials with different physico-chemical properties, the ratios of n(SDA)/n(SiO2) and the ratios of n(H2O)/n(SiO2), the productivity could be increased by a factor of 10. Zeolites were reproducibly synthesized in high solid-content (viscous) regimes.” About Sinopec Research Institute of Petroleum Processing SINOPEC Research Institute of Petroleum Processing (RIPP), founded in 1956, is a comprehensive research and development organization specialized in petroleum refining and petrochemical engineering subordinated to SINOPEC Corporation. It is mainly devoted to the development and application of petroleum refining technologies, while laying stress on petroleum refining-petrochemical integration and focusing on the R&D of corresponding petrochemical technologies as well. In the recent years, it has been reinforcing its innovation in new alternative fuel and energy sources. It is now in the process of transforming itself into an all-directional energy R&D organization mainly engaged in petroleum refining and in petroleum refining-petrochemical integration as well. Additional information

Other Recent News

Discover more news articles you might be interested in

Read more about High-throughput solid microsampling through stochastic robotic automation
News Picture 1 1 V2
Featured
Jul
14

High-throughput solid microsampling through stochastic robotic automation

Solid sampling at the sub-milligram and milligram scale remains a major bottleneck for high-throughput chemistry or material sciences, as existing approaches rely on manual handling or slow deterministic microsampling that do not readily scale.

Here we present STORMS, an automated STOchastic Robotic MicroSampling system that enables fast, reliable and parallel sampling of solid materials at sub-milligram and milligram masses. 

Read more about Parameter efficient multi-model vision assistant for polymer solvation behaviour inference
News Picture 1 1 V2
Jun
30

Parameter efficient multi-model vision assistant for polymer solvation behaviour inference

Polymer–solvent systems exhibit complex solvation behaviours encompassing a diverse range of phenomena, including swelling, gelation, and dispersion. Accurate interpretation is often hindered by subjectivity, particularly in manual rapid screening assessments. While computer vision models hold significant promise to replace the reliance on human evaluation for inference, their adoption is limited by the lack of domain-specific datasets tailored, in our case, to polymer–solvent systems.

Read more about Continuous Flow Synthesis of Diglycolamides for Rare-Earth Elements Recovery: Algorithm-Accelerated Reaction Optimization Coupled with Automated Extraction Evaluation
News Picture 1 1 V2
Featured
Jun
23

Continuous Flow Synthesis of Diglycolamides for Rare-Earth Elements Recovery: Algorithm-Accelerated Reaction Optimization Coupled with Automated Extraction Evaluation

A first example of diglycolamide flow synthesis was developed, showcasing algorithm-accelerated reaction optimization and its potential to accelerate ligand discovery and enable autonomous, AIcontrolled manufacturing of critical materials. The increasing demand for manufacturing rare-earth elements (REEs) as critical materials has intensified research on sustainable synthesis of advanced extractants such as diglycolamides (DGAs).

© Chemspeed (part of Bruker) 2026