Title: Effect of support acidity during selective hydrogenolysis of glycerol over supported palladium ruthenium catalysts - data


Citation
Guadix-Montero S, Santos-Hernandez A, Folli A, et al. (2020). Effect of support acidity during selective hydrogenolysis of glycerol over supported palladium ruthenium catalysts - data. Cardiff University. http://doi.org/10.17035/d.2020.0106627295



Access Rights: Data is provided under a Creative Commons Attribution (CC BY 4.0) licence

Access Method: Click to email a request for this data to opendata@cardiff.ac.uk


Dataset Details

Publisher: Cardiff University

Date (year) of data becoming publicly available: 2020

Data format: .xlsx, .tif

Software Required: MS Excel, Word and any Picture viewing software

Estimated total storage size of dataset: Less than 100 megabytes

DOI : 10.17035/d.2020.0106627295

DOI URL: http://doi.org/10.17035/d.2020.0106627295


Description

The data set reports the role of the acidity of support during the selectivity hydrogenolysis of glycerol over supported bimetallic palladium-ruthenium catalysts. The PdRu nanoparticles were supported on a series of metal oxides and zeolitic supports via the modified impregnation method and tested for the liquid-phase hydrogenolysis of glycerol using gaseous hydrogen. The relative acid site densities of selected catalysts were determined by ammonia temperature-programmed desorption and pyridine desorption experiments. Based on these studies, we report a direct correlation between the catalytic activity (conversion & 1,2 propane diol yield) and two different acid sites (strong acid sites and very strong acid sites). Besides zeolite supported catalysts, TiO2 supported PdRu nanoparticles exhibits moderate catalytic activity however, this catalyst shows high selectivity for the desired C-O bond cleavage to produce C3 products over the undesired C-C bond cleavage to produce < C3 products. To further support the data presented in the article, the origina data for the GC analyses, TEM pictures (raw file) and Calibration plots using calibration mixtures are presented here.

Research results based upon these data are published at https://doi.org/10.1098/rsta.2020.0055


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Last updated on 2021-20-01 at 15:58