ReviewChemical record (New York, N.Y.)2025
Nanocellulose Extraction from Biomass Waste: Unlocking Sustainable Pathways for Biomedical Applications.
Review in Chemical record (New York, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Eco-friendly starch-nanocellulose bio-nanocomposite films with improved structure-property interactions.Nanoscale advances · 2026Article
- Recent advances in nanocellulose scaffold membranes: Sources, processing and functionalization.Materials today. Bio · 2026Review
- Design and characterization of Zn-integrated cellulose nanoparticle derived from sugarcane bagasse for biomedical applications.Discover nano · 2026Article
- Histological and biological evaluation of wheat straw-derived nanocellulose in a rat model of cutaneous wound healing.Frontiers in bioengineering and biotechnology · 2026Article
- Flexible Intelligence on a Green Skeleton: Progress and Challenges of CNF-Enabled Multimodal Sensing Platforms.Polymers · 2025Review
- Nanocellulose Extraction from Biomass Waste: Unlocking Sustainable Pathways for Biomedical Applications.Chemical record (New York, N.Y.) · 2025Review
- Integrating computational fluid dynamics into organ-on-chip systems: a glioblastoma-centred design and validation framework.Frontiers in bioengineering and biotechnology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The escalating global waste crisis necessitates innovative solutions. This study investigates the sustainable production of nanocellulose from biomass waste and its biomedical applications. Cellulose-rich materials-including wood, textiles, agricultural residues, and food by-products-were systematically processed using alkaline, acid, and oxidative pretreatments to enhance fiber accessibility. Mechanical techniques, such as grinding and homogenization, combined with chemical methods like acid hydrolysis and 2,2,6,6-Tetramethylpiperidin-1-yl-oxyl (TEMPO) oxidation, were employed to successfully isolate nanocellulose. Post-treatment modifications, including surface coating and cross-linking, further tailored its properties for specific applications. The results demonstrated nanocellulose's biocompatibility, biodegradability, and functional versatility. In wound healing, it enhanced moisture management and exhibited antimicrobial properties. Its high surface area facilitated efficient drug loading and controlled release in drug delivery applications. Nanocellulose bioinks supported cell proliferation in 3D bioprinting for tissue engineering. Additional applications in biosensors and personal care products were also identified. This study advances sustainable materials science, aligning resource conservation with circular economy principles to address biomedical sector needs.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.