Optimization of g-C3N4 nanoparticles on structural, morphological, and optical properties as organic pollutants adsorbent in glycerin

Addressing the issue of organic pollutants in the environment has become a hot topic among researchers. Therefore, this study aims to degrade an organic pollutant, precisely glycerin solution, using graphite carbon nitride (g-C3N4) nanoparticles through adsorption. Subsequently, tests were conducted based on morphological, structural, and optical properties. The results obtained in this study are as follows: XRD analysis showed a significant peak at 27.74°, confirming the material's layered structure and good crystallinity. HR-TEM analysis revealed an optimal average particle size of 8.87 nm. FTIR analysis identified key functional groups contributing to degradation activity. UV-Vis analysis indicated a band gap of 2.31 eV, enabling effective visible light absorption. Additionally, PL spectra demonstrated luminescence properties with peaks at 464 nm and 495 nm, indicating potential applications in photonics and sensors. The adsorption capacity obtained from glycerin degradation was 6.5 mg/g, which is a good result. These findings highlight the structural integrity of g-C3N4, optimal particle size, and favorable optical properties as significant factors that make g-C3N4 highly appealing for degradation materials.

Authors

Institutions

Publication Details

Journal
Case Studies in Chemical and Environmental Engineering
Published
2024-12-12
DOI
https://doi.org/10.1016/j.cscee.2024.101057
Citations
27
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
5.63
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimization of g-C3N4 nanoparticles on structural, morphological, and optical properties as organic pollutants adsorbent in glycerin

Noor Haida Mohd Kaus, Muhammadin Hamid, Indah Revita Saragi, Ivi Briliansi Dalimunthe et al.
27 citations
Case Studies in Chemical and Environmental Engineering
Gas Sensing Nanomaterials and Sensors
5.63
article

Optimization of g-C3N4 nanoparticles on structural, morphological, and optical properties as organic pollutants adsorbent in glycerin

Noor Haida Mohd Kaus, Muhammadin Hamid, Indah Revita Saragi, Ivi Briliansi Dalimunthe, Hadi Wijoyo, Mazidatulakmam Miskam, Nursal Nursal, Muhammad Hakimin Shafie, Lutfi Chabib, Isnaeni Isnaeni, Dinda Amilia
article en
27 citations

Abstract

Addressing the issue of organic pollutants in the environment has become a hot topic among researchers. Therefore, this study aims to degrade an organic pollutant, precisely glycerin solution, using graphite carbon nitride (g-C3N4) nanoparticles through adsorption. Subsequently, tests were conducted based on morphological, structural, and optical properties. The results obtained in this study are as follows: XRD analysis showed a significant peak at 27.74°, confirming the material's layered structure and good crystallinity. HR-TEM analysis revealed an optimal average particle size of 8.87 nm. FTIR analysis identified key functional groups contributing to degradation activity. UV-Vis analysis indicated a band gap of 2.31 eV, enabling effective visible light absorption. Additionally, PL spectra demonstrated luminescence properties with peaks at 464 nm and 495 nm, indicating potential applications in photonics and sensors. The adsorption capacity obtained from glycerin degradation was 6.5 mg/g, which is a good result. These findings highlight the structural integrity of g-C3N4, optimal particle size, and favorable optical properties as significant factors that make g-C3N4 highly appealing for degradation materials.

Case Studies in Chemical and Environmental EngineeringVol. 11
Universiti Sains Malaysia (MY), Universitas Sumatera Utara (ID), Islamic University of Indonesia (ID), National Nuclear Energy Agency of Indonesia (ID)
Openalex Percentile: Top 3%
Gas Sensing Nanomaterials and Sensors
5.63
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.