Submission Time

( Vol 29 , Issue 05 )

18 May 2025

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( Vol 29 , Issue 05 )

31 May 2025

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Research Journal of Chemistry and Environment

Research Journal of Chemistry and Environment (ISSN:0972-0626) is a monthly peer-reviewed scopus-indexed journal from 2007 to Present. The publisher of this journal is the Journal of International Congress of Chemistry and Environment. RJCE is committed to gathering and disseminating excellent research achievements. The journal welcomes all kind of research/review/abstract papers regarding Engineering subjects including Earth and Planetary Sciences, Environmental Science, Chemical Engineering, Agricultural and Biological Sciences, Renewable Energy, Biochemistry.

ALL PUBLISH JOURNAL HERE

Research Journal of Chemistry and Environment

  • RJCE-05-05-2024-1131
  • Research Journal of Chemistry and Environment
Preliminary Phytochemical analysis of Andrographis paniculata Leaf extract

Recent studies have highlighted the necessity to thoroughly evaluate medicinal plants due to their therapeutic potential. The current study delves into the phytochemical profile, antioxidant capacity, and hepatoprotective effect of Andrographis paniculata. The investigation specifically targets its effectiveness in mitigating liver dysfunction induced by carbon tetrachloride (CCl4) in Wistar albino rats, aiming to uncover its promising role as a natural remedy for liver-related ailments. A. paniculata leaf extract was screened for phytoconstituents and antioxidant and hepatoprotective effec

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  • RJCE-05-05-2024-1130
  • Research Journal of Chemistry and Environment
A review of extraction methods, geographic variation in chemical composition and identification of marker compounds in bud, leaf and stem clove oil

Marrubium vulgare is a valuable source of natural bioactive molecules with high preventive and therapeutic effectiveness. Therefore, this study aimed to study the chemical polymorphism of natural populations of M. vulgare in Tunisia by quantitative chemical markers and the estimation of divergence between populations. Phytochemical analyses of the eight natural populations of Tunisian Marrubium vulgare prospected in different bioclimatic stages, revealed 42 compounds of essential oils representing 96.08% to 100% of the total oil. Hydrocarbon sesquiterpenes were the main fraction of all the

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  • RJCE-05-05-2024-1129
  • Research Journal of Chemistry and Environment
Green Synthesis and Characterization of Nickel Tungsten Bimetallic

In this paper, using Coriandrum sativum L., a leaf-extracted, assisted microwave method (MM) was used to synthesize nickel oxide formation. We synthesized nickel oxide nanoparticles (NiO) with a crystal size in the range of 15–16 nm by a Coriandrum sativum leaf-assisted microwave method (LAMM). The synthesized materials show that an X-ray diffraction (XRD) study confirmed the formation of a single phase structure exhibiting a crystallite size in the range of 15–16 nm using Scherrer’s method. The nickel oxide prepared by the MM had a surface area of 60.35 m2/g, pore volume

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  • RJCE-05-05-2024-1128
  • Research Journal of Chemistry and Environment
Microwave assisted Acetylation of Amines using Imidazole Hydrochloride under solvent-free condition

In the present study, an easy and an efficient approach is reported for the acetylation of alcohols, amines, phenols, and thiols under solvent- and catalyst-free conditions. The experimental conditions were milder than conventional methods and the reactions were completed in shorter reaction time. The examined substrates afforded higher yields of the acetylated products under the short reaction time. Comparison of this work with earlier reported procedures reveals that this method offers some advantages than with reported catalysts and solvents. The as-synthesized products were characterize

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  • RJCE-05-05-2024-1127
  • Research Journal of Chemistry and Environment
Proteome wide screening for identification of putative drug target gene in Nautella italica and structure-based ligand screening for therapeutic candidates

Structure-based drug design is becoming an essential tool for faster and more cost-efficient lead discovery relative to the traditional method. Genomic, proteomic, and structural studies have provided hundreds of new targets and opportunities for future drug discovery. This situation poses a major problem: the necessity to handle the “big data” generated by combinatorial chemistry. Artificial intelligence (AI) and deep learning play a pivotal role in the analysis and systemization of larger data sets by statistical machine learning methods. Advanced AI-based sophisticated machin

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