Skip to main content
zenodoopen

Development of a HPLC Method for Improved Detection and Analysis in Glycerol Electrooxidation Studies

<p># Dataset of "Development of a HPLC Method for Improved Detection and Analysis in Glycerol Electrooxidation Studies"</p> <p>---</p> <p>## GENERAL INFORMATION<br>----------------------</p> <p>1. Dataset title: "Development of a HPLC Method for Improved Detection and Analysis in Glycerol Electrooxidation Studies"</p> <p>2. Authorship: &nbsp;<br>&nbsp; &nbsp; Name: Eva Ng &nbsp;<br>&nbsp; &nbsp; Institution: Institute of Advanced Materials (INAM), Universitat Jaume I, 12006 Castell&oacute;, Spain<br>&nbsp; &nbsp; ORCID: 0009-0003-4184-5579</p> <p>&nbsp; &nbsp; Name: Camilo A. Mesa<br>&nbsp; &nbsp; Institution: Institute of Advanced Materials (INAM), Universitat Jaume I, 12006 Castell&oacute;, Spain<br>&nbsp; &nbsp; ORCID: 0000-0002-8450-2563</p> <p>&nbsp; &nbsp; Name: Sixto Gim&eacute;nez<br>&nbsp; &nbsp; Institution: Institute of Advanced Materials (INAM), Universitat Jaume I, 12006 Castell&oacute;, Spain<br>&nbsp; &nbsp; Email: &lt;sjulia@uji.es&gt;&nbsp;<br>&nbsp; &nbsp; ORCID: 0000-0002-4522-3174</p> <p>## FILE DESCRIPTION<br>--------------<br>### Figure 1<br>- Fig1a.txt : Chromatogram obtained from the analysis of the analytical standards containing glycerol electrooxidation products previously reported.&nbsp;<br>- Fig1b.txt : Chromatogram obtained from the analysis of the analytical standards containing glycerol electrooxidation products in this work.</p> <p><br>### Figure 2<br>- Fig2a.txt : Referential chromatograms from analytical standards that can be produced during Glycerol Electrooxidation Reaction (GEOR). Reported method.<br>- Fig2b.txt : Referential chromatograms from analytical standards that can be produced during Glycerol Electrooxidation Reaction (GEOR). New developed method.</p> <p><br>### Figure 3<br>- Fig3a.txt : Calibration curve for oxalic acid analytical standard from 0.1 mM to 5 mM and its standard deviation. Each point was measured by triplicate.<br>- Fig3b.txt : Calibration curve for tartronic acid analytical standard from 0.1 mM to 5 mM and its standard deviation. Each point was measured by triplicate.<br>- Fig3c.txt : Calibration curve for L-sodium glycerate analytical standard from 0.1 mM to 5 mM and its standard deviation. Each point was measured by triplicate.<br>- Fig3d.txt : Calibration curve for glycolic acid analytical standard from 0.1 mM to 5 mM and its standard deviation. Each point was measured by triplicate.<br>- Fig3e.txt : Calibration curve for formic acid analytical standard from 0.1 mM to 5 mM and its standard deviation. Each point was measured by triplicate.<br>- Fig3f.txt : Calibration curve for dihydroxyacetone analytical standard from 0.1 mM to 5 mM and its standard deviation. Each point was measured by triplicate.<br>- Fig3g.txt : Calibration curve for glyceraldehyde analytical standard from 0.1 mM to 5 mM and its standard deviation. Each point was measured by triplicate.<br>- Fig3h.txt : Calibration curve for glycerol analytical standard from 0.1 mM to 5 mM and its standard deviation. Each point was measured by triplicate.</p> <p>### Figure 4<br>- Fig4.txt : Glyceraldehyde standard concentrations as a function of different wavelengths. Each measurement was performed by triplicate and it is shown with its standard deviation.</p> <p>### Figure 5<br>- Fig5.txt : Experimental concentrations at different calibration levels for glyceraldehyde and formic acid quantification with their standard deviation. Each measurement was performed by triplicate.</p> <p>### Figure 6<br>-Fig6a.txt : Chromatograms obtained from a potentiostatic measurement performed at 1.62 V vs RHE in a solution containing LiOH 0.1 M and glycerol 50 mM and analytical standards as a reference.&nbsp;<br>-Fig6b.txt : Product distribution represented in terms of Faradaic Efficiency (FE). The percentages above the bars represent the total (FE) while inside the bars, they refer to the different products.&nbsp;</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4