Evidence map›Paper›PMID 41563939›Full record

ArticleChemistry & biodiversity2026

Biomass Derived Carbon Quantum Dots for the Green Synthesis of Aryl Semicarbazones and Their In Silico Evaluation.

Sunita Teli, Shivani Soni, Anu Manhas, Prakash C Jha, Shikha Agarwal

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Article in Chemistry & biodiversity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Sunita TeliSynthetic Organic Chemistry Laboratory, Department of Chemistry, Mohanlal Sukhadia University, Udaipur, Rajasthan, India.
Shivani SoniSynthetic Organic Chemistry Laboratory, Department of Chemistry, Mohanlal Sukhadia University, Udaipur, Rajasthan, India.
Anu ManhasDepartment of Chemistry, School of Energy Technology, Pandit Deendayal Energy University, Gandhinagar, India.
Prakash C JhaSchool of Applied Material Sciences, Central University of Gujarat, Gandhinagar, India.
Shikha AgarwalSynthetic Organic Chemistry Laboratory, Department of Chemistry, Mohanlal Sukhadia University, Udaipur, Rajasthan, India.ORCID https://orcid.org/0000-0003-2946-0409

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, a green and efficient method has been developed for the preparation of aryl semicarbazones using Kigelia pinnata flower-derived carbon quantum dots (KP-CQDs) as a sustainable catalyst. The reaction between various aldehydes/acetophenones and semicarbazide (SC) hydrochloride was carried out smoothly at room temperature in an ethanol-water (1:4) solvent system, and excellent yields (83%-95%) were achieved within a short reaction time of 5-20 min, demonstrating the high catalytic efficiency of KP-CQDs. A total of nine derivatives were synthesized, among which six compounds are reported for the first time. Furthermore, the biological potential of these compounds was investigated through in silico studies. The molecules were subjected to prediction of activity spectra for substances (PASS) online prediction to predict probable biological targets, and based on these predictions, molecular docking was performed against human mitochondrial 3-hydroxy-3-methylglutaryl-coenzyme A synthase 2 (Protein Data Bank [PDB] ID: 2WYA), hepatitis A virus 3C protease (PDB ID: 1HAV), and foot-and-mouth disease virus (FMDV) 3C protease (PDB ID: 2WV4). On conducting molecular docking, molecules 3f (-15.57 kcal/mol), 3c (-5.61 kcal/mol), and 3e (-9.44 kcal/mol) showed remarkable activity with 2WYA, 1HAV, and 2WV4, respectively. This method offers several key advantages, including the use of a green and reusable CQD catalyst, mild reaction conditions, short reaction times, excellent yields, and the preparation of new semicarbazone derivatives with unexplored biological activities.

Indexed as

Carbon Quantum DotsSemicarbazonesCatalysisGreen Chemistry TechnologyHumansMolecular Docking SimulationMolecular StructureSemicarbazonescarbon quantum dotscatalystmolecular dockingsemicarbazones

Identifiers

PMID41563939
PMCPMC13420773

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