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Open AccessDOI: 10.1016/S1872-5813(26)60673-1Original Research

A Standardized Dataset of CO-TPD Spectra on Transition-Metal Single-Crystal Surfaces

Institute of Coal Chemistry, Chinese Academy of Sciences, State Key Laboratory of Coal Conversion, Taiyuan 030001, China

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A Standardized Dataset of CO-TPD Spectra on Transition-Metal Single-Crystal Surfaces
Graphical Abstract / Figure
Published In
Journal of Fuel Chemistry and Technology
Published:January 15, 2026Edition:Vol. 54, Issue 4 • pp. 100-112Citation:YANG Lin et al. (2026), Journal of Fuel Chemistry and Technology
Impact FactorPeer-Reviewed Core
Source Journal燃料化学学报

Key Takeaways & Executive Findings

  • • • The dataset includes 14 transition-metal single-crystal surfaces, enabling cross-metal comparisons of CO desorption behavior and providing a benchmark for theoretical models. • • Normalization preserves essential spectral features such as peak shape, allowing deconvolution of complex TPD spectra from industrial catalysts. • • Experimental parameters, including heating rates, are documented, ensuring reproducibility and facilitating kinetic analysis. • • The standardized protocol for data collection and quality control transforms fragmented graphical data into complete digitized spectral profiles, shifting analysis from isolated peak temperatures to integrated spectral profiles.

Abstract

Temperature-programmed desorption (TPD) is a fundamental technique in surface science and heterogeneous catalysis for characterizing adsorption behavior and extracting key parameters such as adsorption energy. However, the majority of existing TPD data is accessible only in the form of published images, lacking structured and quantitative datasets, which constrains rigorous quantitative analysis and computational modeling. Using carbon monoxide (CO) as a widely adopted probe molecule, we constructed a curated and standardized dataset of CO-TPD spectra encompassing 14 transition-metal single-crystal surfaces, including copper (Cu) and ruthenium (Ru). By systematically extracting numerical data points from published spectra and applying normalization, essential spectral features such as peak shape are fully preserved. The dataset also documents relevant experimental parameters, including heating rates, and was developed using a standardized protocol for data collection and quality control. This resource serves as both a reference library to support the deconvolution of TPD spectra from complex catalysts and an experimental benchmark for calibrating parameters in theoretical models. By providing a reliable and accessible data function, this work advances the microscopic understanding and rational design of catalyst active centers.

1. Introduction

Temperature-programmed desorption (TPD) is a cornerstone technique in surface science and heterogeneous catalysis, providing direct access to adsorption energies, surface coverages, and reaction kinetics. However, the utility of TPD has been severely hampered by the lack of structured, quantitative datasets. Most published TPD data exist only as graphical images, which are not amenable to rigorous computational analysis or systematic comparison across studies. This fragmentation has stalled the development of predictive models and the rational design of catalysts, as researchers are forced to rely on qualitative interpretations or manually digitize spectra with inherent errors.

This work addresses this bottleneck by constructing a standardized dataset of CO-TPD spectra on 14 transition-metal single-crystal surfaces. By systematically extracting numerical data from published spectra and applying normalization, the dataset preserves essential spectral features while documenting experimental parameters such as heating rates. This resource provides a reliable reference library for deconvoluting TPD spectra from complex catalysts and serves as an experimental benchmark for calibrating theoretical models, thereby enabling a shift from isolated peak temperatures to integrated spectral profiles and advancing the microscopic understanding of catalytic active centers.

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Cite This Research Paper
YANG Lin, WU Jianghong, WANG He (2026). A Standardized Dataset of CO-TPD Spectra on Transition-Metal Single-Crystal Surfaces. Journal of Fuel Chemistry and Technology. https://doi.org/10.1016/S1872-5813(26)60673-1
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Frequently Asked Questions

What is the scope of the dataset in terms of metal surfaces and experimental conditions?

The dataset encompasses 14 transition-metal single-crystal surfaces, including Cu and Ru. It documents experimental parameters such as heating rates, ensuring reproducibility and enabling kinetic analysis.

How does the normalization procedure preserve spectral features, and why is this important for deconvolution?

Normalization preserves essential spectral features such as peak shape, which is critical for deconvoluting TPD spectra from complex catalysts. This allows for accurate identification of adsorption states and extraction of kinetic parameters.

What is the intended use of this dataset for theoretical modeling?

The dataset serves as an experimental benchmark for calibrating parameters in theoretical models, such as adsorption energies and pre-exponential factors, thereby improving the predictive accuracy of computational simulations.

How does this dataset address the limitations of existing TPD data?

Existing TPD data are often available only as published images, lacking structured and quantitative information. This dataset provides digitized, normalized spectral profiles with documented experimental conditions, enabling rigorous quantitative analysis and cross-study comparisons.

What quality control measures were implemented during data collection?

A standardized protocol for data collection and quality control was developed, ensuring consistency in data extraction and normalization. This includes systematic extraction from published spectra and documentation of experimental parameters.

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