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Related Concept Videos

Preparation and Reactions of Thiols02:33

Preparation and Reactions of Thiols

6.7K
Thiols are prepared using the hydrosulfide anion as a nucleophile in a nucleophilic substitution reaction with alkyl halides. For instance, bromobutane reacts with sodium hydrosulfide to give butanethiol.
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Radical Oxidation of Allylic and Benzylic Alcohols01:21

Radical Oxidation of Allylic and Benzylic Alcohols

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Activated manganese(IV) oxide can selectively oxidize allylic and benzylic alcohols via a radical intermediate mechanism. Primary allylic alcohols are oxidized to aldehydes, while secondary allylic alcohols yield ketones. The redox reaction of potassium permanganate with an Mn(II) salt such as manganese sulfate (under either alkaline or acidic conditions), followed by thorough drying, yields the oxidizing agent: activated MnO2. While MnO2 is insoluble in the solvents used for the reaction, the...
2.2K
Oxidation of Alkenes: Syn Dihydroxylation with Potassium Permanganate02:21

Oxidation of Alkenes: Syn Dihydroxylation with Potassium Permanganate

15.2K
Alkenes can be dihydroxylated using potassium permanganate. The method encompasses the reaction of an alkene with a cold, dilute solution of potassium permanganate under basic conditions to form a cis-diol along with a brown precipitate of manganese dioxide.
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Oxidation of Alkenes: Syn Dihydroxylation with Osmium Tetraoxide02:44

Oxidation of Alkenes: Syn Dihydroxylation with Osmium Tetraoxide

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Alkenes are converted to 1,2-diols or glycols through a process called dihydroxylation. It involves the addition of two hydroxyl groups across the double bond with two different stereochemical approaches, namely anti and syn. Dihydroxylation using osmium tetroxide progresses with syn stereochemistry.
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Oxidation of Phenols to Quinones01:17

Oxidation of Phenols to Quinones

4.5K
In the presence of oxidizing agents, phenols are oxidized to quinones. Quinones can be easily reduced back to phenols using mild reducing agents. The electron-donating hydroxyl group enhances the reactivity of the aromatic ring, enabling oxidation of the ring even in the absence of an α hydrogen.
o-hydroxy phenols are oxidized to o-quinones and p-hydroxy phenols to p-quinones. Such redox reactions involve the transfer of two electrons and two protons. The reversible redox...
4.5K
Oxidative Cleavage of Alkenes: Ozonolysis01:46

Oxidative Cleavage of Alkenes: Ozonolysis

9.7K
In ozonolysis, ozone is used to cleave a carbon–carbon double bond to form aldehydes and ketones, or carboxylic acids, depending on the work-up.
Ozone is a symmetrical bent molecule stabilized by a resonance structure.
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Related Experiment Video

Updated: Apr 22, 2026

Temperature-programmed Deoxygenation of Acetic Acid on Molybdenum Carbide Catalysts
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Predicting catalytic pathways for Thiophenol decomposition on TM-doped MoS2: a comparative machine learning study.

Meng Zhang1, Yingjiao Zhai1, Xueying Chu1

  • 1Nanophotonics and Biophotonics Key Laboratory of Jilin Province, School of Physics, Changchun University of Science and Technology, Changchun 130022, People's Republic of China.

Nanotechnology
|April 20, 2026
PubMed
Summary

Transition metal doping enhances molybdenum disulfide (MoS₂) for toxic thiophenol (TP) decomposition. Machine learning, particularly Random Forest, accurately predicts catalytic performance, accelerating the discovery of new catalysts.

Keywords:
DFTMoS2machine learningsingle-molecule catalysistransition metal atom doping

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Area of Science:

  • Materials Science
  • Catalysis
  • Computational Chemistry
  • Machine Learning

Background:

  • Thiophenol (TP) is a toxic industrial and pharmaceutical compound requiring efficient catalytic degradation.
  • Two-dimensional molybdenum disulfide (MoS₂) has potential for catalysis but suffers from low thiophenol adsorption.
  • Single-atom catalysts offer enhanced activity but require strategic design.

Purpose of the Study:

  • To design and investigate single-atom catalysts based on transition metal (TM)-doped MoS₂ for thiophenol decomposition.
  • To enhance the adsorption and catalytic activity of MoS₂ for toxic organic pollutant removal.
  • To develop and validate machine learning models for predicting catalytic performance.

Main Methods:

  • First-principles calculations were employed to study the electronic structure and catalytic properties of TM-doped MoS₂.
  • Density Functional Theory (DFT) was used to calculate adsorption energies and activation barriers for TP decomposition.
  • Four machine learning models (Linear Regression, K-Nearest Neighbors, Random Forest, Gradient Boosting Regression Trees) were evaluated for predicting key reaction parameters.

Main Results:

  • Transition metal doping significantly alters MoS₂'s local charge density, enhancing thiophenol adsorption and catalytic activity.
  • Nickel (Ni)-doped MoS₂ was found to be kinetically favored, while Cobalt (Co)-doped MoS₂ was thermodynamically favored for TP decomposition into H₂ and H₂S.
  • Random Forest regression demonstrated the highest accuracy in predicting activation barriers and reaction energies among the evaluated machine learning models.

Conclusions:

  • Transition metal doping is an effective strategy to create highly active single-atom catalysts for toxic organic pollutant decomposition.
  • Ni- and Co-doped MoS₂ show significant promise for efficient thiophenol degradation.
  • Machine learning, specifically Random Forest, offers a powerful tool for accelerating the screening and design of novel catalysts.