Photocatalytic upcycling of marble waste into acetic acid by copper sulfide nanoparticles

Disk-like CuS nanoparticles facilitate the photocatalytic conversion of carbonate-rich waste marble-dust to acetic acid under monochromatic green light, offering a green route for carbon upcycling and waste utilization.

Authors

Institutions

Publication Details

Journal
Journal of Materials Chemistry A
Published
2025-01-01
DOI
https://doi.org/10.1039/d5ta01449b
Primary Topic
Advanced Photocatalysis Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Photocatalytic upcycling of marble waste into acetic acid by copper sulfide nanoparticles

Sumit Kumar Sonkar, M.L. Meena, Jaidev Kaushik, Amar Patnaik et al.
Journal of Materials Chemistry A
Advanced Photocatalysis Techniques
article

Photocatalytic upcycling of marble waste into acetic acid by copper sulfide nanoparticles

Sumit Kumar Sonkar, M.L. Meena, Jaidev Kaushik, Amar Patnaik, M. Jain, Rohit, Ravindra Singh, Khushi
article en

Abstract

Disk-like CuS nanoparticles facilitate the photocatalytic conversion of carbonate-rich waste marble-dust to acetic acid under monochromatic green light, offering a green route for carbon upcycling and waste utilization.

Journal of Materials Chemistry AVol. 13(25)
SRM University, Andhra Pradesh (IN), Malaviya National Institute of Technology Jaipur (IN)
Department of Science and Technology, Ministry of Science and Technology, India, Science and Engineering Research Board
Openalex Percentile: Top 92%
Advanced Photocatalysis Techniques
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.