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Record W2600602447 · doi:10.1149/ma2014-01/10/547

XPS Investigation of Loss of Antimony in the Thermal Preparation of the Ti/SnO<sub>2</sub>-Sb<sub>2</sub>O<sub>5</sub> Anode

2014· article· en· W2600602447 on OpenAlexaff
Qing Ni, Donald W. Kirk, Steven J. Thorpe

Bibliographic record

VenueECS Meeting Abstracts · 2014
Typearticle
Languageen
FieldChemistry
TopicElectrochemical Analysis and Applications
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsX-ray photoelectron spectroscopyMaterials scienceAnodeAntimonyTitaniumThermal decompositionMetalOxideEvaporationAnalytical Chemistry (journal)Inorganic chemistryChemical engineeringMetallurgyElectrodeChemistryPhysical chemistry

Abstract

fetched live from OpenAlex

Introduction The Ti/SnO2-Sb2O5 anode was found to be suitable for the electro-oxidation of organics in municipal wastewater, due to its low cost, high efficiency and strong oxidation power1. Similar to other anodes of metal-oxides on titanium, it can be prepared by the thermal decomposition of metal chlorides on a titanium substrate, but this method suffers the loss of oxides by the evaporation of the chloride salts2, which is particularly serious with the Ti/SnO2-Sb2O5 anode. The present work focused on investigating this problem, using XPS to explore the surface and in-depth profiles of the coating film. Experimental Methods The Ti/SnO2-Sb2O5 anodes were prepared by methods modified from literature1,3. An isopropanol solution of SbCl3 and SnCl4·5H2O mixed at a target composition (Sb:Sn) was brush coated onto a polished Ti surface. The coated anodes were then heated slowly to 500°C in 2 hours to finish the conversion from chlorides to oxides. XPS analysis was conducted on the fabricated anodes. The spectra were analyzed and quantified, using powdered SnO2, Sb2O3 and Sb2O5 as external standards. The Sn3d5/2, Sb3d3/2 and O1s peaks were used for quantification. The O1s peak was processed by subtracting the overlapping Sb3d5/2 signal and then deconvoluting into 3 sub-peaks. Oxygen in the metallic oxide lattice had the lowest binding energy and also the highest intensity, and it was used for quantification. In-depth profiling was performed with angle resolved XPS and with XPS under simultaneous Ar+ ion etching. Results and Discussions Fig 1(a) summarizes the measured composition from XPS versus the target composition expected from the coating solution in some samples, with black dots representing the electrodes prepared by the present method. Fig 1(b) shows that the majority of the Sb was in the 5+ state. The measured Sb/Sn ratio was much lower than the target and was randomly distributed. The loss of Sb was suspected to be caused by the vaporization of SbCl3 from the coated anodes. Unlike SnCl4·5H2O which only decomposes under the temperatures used, SbCl3 can vaporize at 220°C. Therefore during the heating, the element of Sb may undergo both evaporation and oxidation. Evaporation potentially can occur at a lower temperature than oxidation and result in significant loss of Sb prior to the oxide film formation. To test this hypothesis, another piece of Ti/SnO2-Sb2O5 was prepared and heated rapidly to 500°C. Rapid heating should reduce evaporation, and indeed the resulting film was found to retain more Sb (Fig 1(a) red square marker). In-depth profiles of Sb/Sn were analyzed investigate the distribution of Sb in the film. Angle-resolved XPS (Fig1(c)) showed an increase in the Sb/Sn ratio with tilted viewing angle towards the surface. XPS with Ar+ ion etching also showed that Sb was detected only within the top 5nm of the material. It can be deduced that the antimony was concentrated at the surface. This could be of concern as the Sb may not effectively dope the SnO2 to lower its conductivity. Conclusions and Future Work XPS revealed the loss and surface concentration of Sb in Ti/SnO2-Sb2O5 anodes. These were probably associated with the vaporization of SbCl3 during the electrode fabrication which is undesirable in the pyrolytic preparation of this electrode. Future work will be on the electro-deposition method as a substitute to produce adhering films of controllable Sb/Sn compositions. References L. Lipp and D. Pletcher, Electrochim. Act. 42 1091 (1997) Ch.Comninellis and G.P.Vercesi, J. App. Electrochem. 21 136 (1991) Q. Ni, D. W. Kirk, S. J. Thorpe, ECS Trans. 50(19) 87 (2013)

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.225
Teacher spread0.216 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2014
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