Development of Chitosan‐Coated Graphene Oxide and Iron Oxide Nanocomposites for Targeted Delivery of Camptothecin to Liver Cancer Cells

Innovative drug delivery platforms for selective, regulated, and sustained release of anticancer drugs are crucial in cancer treatment. This study presents nanoparticles developed from chitosan (CS), graphene oxide (GO), and magnetite (Fe<sub>3</sub>O<sub>4</sub>), and their nanocomposites to enhance the loading and release efficiency of camptothecin (CPT). Nanostructures were characterized using imaging microscopy, FT-IR, and X-ray diffraction, with an average crystallite size of 5.5 nm. Camptothecin binding proportions were 70 % for CS, 81 % for CS@Fe<sub>3</sub>O<sub>4</sub>, 58 % for CS@GO, and 74 % for CS@GO/Fe<sub>3</sub>O<sub>4</sub>. At pH 5.0, CPT release ratios were 87 %, 80 %, 88 %, and 90 %, respectively, and at pH 7.4, 84 %, 72 %, 89 %, and 87 %. Cytotoxicity was assessed using the MTT assay against HepG2 and SMMC-7721 cancer cells. CPT-CS@GO/Fe<sub>3</sub>O<sub>4</sub> exhibited the highest survival at 5 μM and 12.5 μM concentrations, indicating it as the most effective nanocarrier for camptothecin delivery. The study demonstrates CS@GO/Fe<sub>3</sub>O<sub>4</sub>'s potential as a superior drug delivery system.

Authors

Institutions

Publication Details

Journal
Chemistry & Biodiversity
Published
2024-10-12
DOI
https://doi.org/10.1002/cbdv.202401817
Citations
9
Primary Topic
Graphene and Nanomaterials Applications
Type
article
Field-Weighted Citation Impact
1.66
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of Chitosan‐Coated Graphene Oxide and Iron Oxide Nanocomposites for Targeted Delivery of Camptothecin to Liver Cancer Cells

Samer Hasan Hussein‐Al‐Ali, Abdurahman Hajinur Hirad, Abdullah A. Alarfaj, Muruganantham Bharathi et al.
9 citations
Chemistry & Biodiversity
Graphene and Nanomaterials Applications
1.66
article

Development of Chitosan‐Coated Graphene Oxide and Iron Oxide Nanocomposites for Targeted Delivery of Camptothecin to Liver Cancer Cells

Samer Hasan Hussein‐Al‐Ali, Abdurahman Hajinur Hirad, Abdullah A. Alarfaj, Muruganantham Bharathi, Kalpana Sukumar, Surya Parthasarathy
article en
9 citations

Abstract

Innovative drug delivery platforms for selective, regulated, and sustained release of anticancer drugs are crucial in cancer treatment. This study presents nanoparticles developed from chitosan (CS), graphene oxide (GO), and magnetite (Fe<sub>3</sub>O<sub>4</sub>), and their nanocomposites to enhance the loading and release efficiency of camptothecin (CPT). Nanostructures were characterized using imaging microscopy, FT-IR, and X-ray diffraction, with an average crystallite size of 5.5 nm. Camptothecin binding proportions were 70 % for CS, 81 % for CS@Fe<sub>3</sub>O<sub>4</sub>, 58 % for CS@GO, and 74 % for CS@GO/Fe<sub>3</sub>O<sub>4</sub>. At pH 5.0, CPT release ratios were 87 %, 80 %, 88 %, and 90 %, respectively, and at pH 7.4, 84 %, 72 %, 89 %, and 87 %. Cytotoxicity was assessed using the MTT assay against HepG2 and SMMC-7721 cancer cells. CPT-CS@GO/Fe<sub>3</sub>O<sub>4</sub> exhibited the highest survival at 5 μM and 12.5 μM concentrations, indicating it as the most effective nanocarrier for camptothecin delivery. The study demonstrates CS@GO/Fe<sub>3</sub>O<sub>4</sub>'s potential as a superior drug delivery system.

Chemistry & BiodiversityVol. 22(2)
King Saud University (SA), Karpagam Academy of Higher Education (IN), Saveetha University (IN), Isra University (JO)
Good health and well-being
Openalex Percentile: Top 17%
Graphene and Nanomaterials Applications
1.66
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.