Environmentally Friendly Nanofiber Cellulose From Durian Rinds: A Sustainable Alternative Biomass Resource

ABSTRACT A novel, efficient, and eco‐friendly sustainable process has been developed for the extraction of cellulose nanofibers (CNF) from durian rinds. The method utilizes low‐molecular‐weight 2,2,6,6‐tetramethylpiperidine‐1‐oxyl (TEMPO) as an oxidation agent, in conjunction with sonication treatment, resulting in a significant reduction of processing time and energy consumption compared to conventional techniques. Various delignification methods and sonication times were investigated. For delignification, a sodium hydroxide solution (10%, w/v) at a biomass‐to‐solvent ratio of 1:30 resulted in the highest cellulose content of 82.07% in cellulose durian rind powder. In addition, the yield of durian rind‐based CNF from sonication treatment was found to be as high as 96.26%. The CNF exhibited exceptional characteristics, including a diameter ranging from 8 to 50 nm and a length of several micrometers. This sustainable and environmentally friendly approach demonstrates significant potential for the valorization of agricultural waste into high‐performance nanocellulose materials, contributing to the advancement of sustainable materials and applications.

Authors

Institutions

Publication Details

Journal
Asia-Pacific Journal of Chemical Engineering
Published
2025-11-05
DOI
https://doi.org/10.1002/apj.70143
Citations
1
Primary Topic
Advanced Cellulose Research Studies
Type
article
Field-Weighted Citation Impact
0.60
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Environmentally Friendly Nanofiber Cellulose From Durian Rinds: A Sustainable Alternative Biomass Resource

Minarni Wartiningsih, Jia‐Ming Chern, Antonius Jimmy Widagdo, Yohannes Somawiharja et al.
1 citations
Asia-Pacific Journal of Chemical Engineering
Advanced Cellulose Research Studies
0.60
article

Environmentally Friendly Nanofiber Cellulose From Durian Rinds: A Sustainable Alternative Biomass Resource

Minarni Wartiningsih, Jia‐Ming Chern, Antonius Jimmy Widagdo, Yohannes Somawiharja, Suryadi Ismadji, Yustia Wulandari Mirzayanti, Chintya Gunarto, Nyoman Puspa Asri
article en
1 citations

Abstract

ABSTRACT A novel, efficient, and eco‐friendly sustainable process has been developed for the extraction of cellulose nanofibers (CNF) from durian rinds. The method utilizes low‐molecular‐weight 2,2,6,6‐tetramethylpiperidine‐1‐oxyl (TEMPO) as an oxidation agent, in conjunction with sonication treatment, resulting in a significant reduction of processing time and energy consumption compared to conventional techniques. Various delignification methods and sonication times were investigated. For delignification, a sodium hydroxide solution (10%, w/v) at a biomass‐to‐solvent ratio of 1:30 resulted in the highest cellulose content of 82.07% in cellulose durian rind powder. In addition, the yield of durian rind‐based CNF from sonication treatment was found to be as high as 96.26%. The CNF exhibited exceptional characteristics, including a diameter ranging from 8 to 50 nm and a length of several micrometers. This sustainable and environmentally friendly approach demonstrates significant potential for the valorization of agricultural waste into high‐performance nanocellulose materials, contributing to the advancement of sustainable materials and applications.

Asia-Pacific Journal of Chemical EngineeringVol. 21(1)
Universitas Katolik Widya Mandala Surabaya (ID), Universitas Ciputra (ID), Institut Teknologi Adhi Tama Surabaya (ID), Tatung University (TW)
Openalex Percentile: Top 27%
Advanced Cellulose Research Studies
0.60
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.