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Processes
Special Issues
Synthesis, Catalysis and Applications of Organic Chemistry
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Synthesis, Catalysis and Applications of Organic Chemistry

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Chemical Processes and Systems".

Deadline for manuscript submissions: closed (30 November 2025) | Viewed by 2490

Special Issue Editor

Dr. Steve D. Pollington

E-Mail Website
Guest Editor
Johnson Matthey Plc, London, UK
Interests: catalysis; synthesis, reactions; sustainability

Special Issue Information

Dear Colleagues,

The value of organic compounds in our everyday lives ensures that their synthesis attracts the attention of innovators both in the industrial and academic worlds. Goods produced by organic chemistry processes play an essential role in all aspects of modern life, including agriculture, food production, drug development, and the manufacturing of new materials or fuels. The wide range of applications of organic chemistry and the need to discover more sustainable methods of producing them have led to interesting recent developments in synthesis, new catalysts, and novel applications of a range of products.

This Special Issue, entitled “Synthesis, Catalysis and Applications of Organic Chemistry” will cover, but is not limited to, the following topics:

  • Green reagents, processes, and catalysts (homogenous, heterogeneous, and enzymes) in the production of organic products;
  • Advances in organic synthesis that improve the efficiency of the production of organic molecules: more active and selective catalysts and novel continuous methods to replace batch processes;
  • Use of enzymes for more efficient processes;
  • Sustainability in organic synthesis—reusing, recycling, and upcycling organic compounds;
  • Novel applications of industrial organic compounds that enhance our quality of life;
  • Modelling of reaction conditions for more efficient processes;

Technoeconomic studies of new organic products/processes.

Dr. Steve D. Pollington
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • green reagents
  • sustainability
  • organic synthesis
  • catalysis
  • applications

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  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

34 pages, 3672 KB  
Article
Feed Variability Effect on Performance of a Commercial Residue Hydrocracker
by Dicho Stratiev, Rosen Dinkov, Ivelina Shiskova, Angel Nedelchev, Iliyan Kolev, Georgi Argirov, Sotir Sotirov, Evdokia Sotirova, Veselina Bureva, Krassimir Atanassov, Dobromir Yordanov, Svetoslav Nenov and Denis Stratiev
Processes 2025, 13(11), 3486; https://doi.org/10.3390/pr13113486 - 30 Oct 2025
Viewed by 459
Abstract
Feed quality has been found to be related to both reactivity and sediment formation propensity in the residue hydrocracking process defining the conversion level. In this research, unlike other investigations, which examine hydrocrackability of individual vacuum residues, 529 mixtures of 33 vacuum residues [...] Read more.
Feed quality has been found to be related to both reactivity and sediment formation propensity in the residue hydrocracking process defining the conversion level. In this research, unlike other investigations, which examine hydrocrackability of individual vacuum residues, 529 mixtures of 33 vacuum residues were investigated for their hydrocrackability in a commercial H-Oil ebullated bed reactor unit. Intercriteria and regression analyses, together with singular value decomposition (SVD) and deep learning neural network techniques were employed to analyze data and model the vacuum residue conversion in the H-Oil unit. It was found that SVD model provided the best fit of H-Oil conversion training data (standard error of 0.95 wt.%). However, due to overfitting, the SVD model failed to predict H-Oil conversion on unseen data (standard error of 5.1 wt.%). The deep learning neural network exhibited standard error for all data (training, validation and testing) of 1.99 wt.%, while for the test data it was 2.35 wt.%. The linear regression model showed a standard error of 3.9 wt.% for the training data and 7.5 wt.% for the test data. Eleven properties of the vacuum residue (density, microcarbon residue, sulfur, nitrogen, saturate, aromatic, resin, C5-asphaltene, C7-asphaltene, Na, and Ni+V content) seem to be sufficiently informative for the purposes of modeling and predicting H-Oil conversion, thus enabling the assessment of the suitability of a given vacuum residue to be used as a feedstock for the H-Oil process. The best predicting model was found to be the deep learning neural network, which can be used for the purpose of the crude selection process. Full article
(This article belongs to the Special Issue Synthesis, Catalysis and Applications of Organic Chemistry)
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16 pages, 848 KB  
Article
Coal Tar Naphtha Refining: Phenol Alkylation with 1-Hexene and the Impact of Pyridine
by Yuhan Xia and Arno de Klerk
Processes 2025, 13(1), 194; https://doi.org/10.3390/pr13010194 - 12 Jan 2025
Cited by 4 | Viewed by 1500
Abstract
Coal tar naphtha is produced from coal carbonization, moving bed coal gasification, and thermal liquefaction of coal. The naphtha can contain up to 60% aromatics and 15% olefins, as well as nitrogen-, oxygen-, and sulfur-containing compounds. Usually only hydrotreating is considered, but when [...] Read more.
Coal tar naphtha is produced from coal carbonization, moving bed coal gasification, and thermal liquefaction of coal. The naphtha can contain up to 60% aromatics and 15% olefins, as well as nitrogen-, oxygen-, and sulfur-containing compounds. Usually only hydrotreating is considered, but when producing motor gasoline, olefin–aromatic alkylation could reduce the associated octane number loss due to olefin hydrogenation by converting olefins to alkylated phenols and aromatics. The plausibility of using acid-catalyzed alkylation with coal tar naphtha, which contains nitrogen bases, was investigated by studying a model system comprising phenol and 1-hexene in the absence and presence of pyridine. It was found that pyridine only inhibited conversion over a range of amorphous silica–alumina catalysts. The most effective catalyst was Siral 30 (30% silica, 70% alumina) and at 315 °C, 0.05 wt% pyridine caused a 35% inhibition of phenol conversion compared to conversion in the absence of pyridine. Catalyst activity could be restored by rejuvenating the catalyst with clean feed at a higher temperature. The results supported a description of phenol alkylation with olefins that took place by at least two pathways, one involving protonation of the olefin (typical for Friedel–Crafts alkylation) and one where the olefin is the nucleophile. Full article
(This article belongs to the Special Issue Synthesis, Catalysis and Applications of Organic Chemistry)
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