Evidence map›Paper›PMID 41931200›Full record

ArticleDiscover nano2026

Design and characterization of Zn-integrated cellulose nanoparticle derived from sugarcane bagasse for biomedical applications.

Abhishek Verma, Gaurav Singh, Ankit Srivastava, Subash Chandra Gupta, Dalia Dasgupta Mandal

Abstract read
In one paragraph

Article in Discover nano, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Abhishek Verma *Department of Biotechnology, National Institute of Technology Durgapur, M. G. Avenue, Durgapur, West Bengal, 713209, India.
Gaurav Singh *Department of Biotechnology, National Institute of Technology Durgapur, M. G. Avenue, Durgapur, West Bengal, 713209, India.
Ankit SrivastavaDepartment of Biochemistry, Institute of Science, Banaras Hindu University, Varanasi, Uttar Pradesh, 221005, India.
Subash Chandra GuptaDepartment of Biochemistry, All India Institute of Medical Sciences, Guwahati, Assam, 781101, India.
Dalia Dasgupta MandalDepartment of Biotechnology, National Institute of Technology Durgapur, M. G. Avenue, Durgapur, West Bengal, 713209, India. ddasguptamandal.bt@nitdgp.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The valorization of agricultural residues for synthesizing advanced nanomaterials has garnered significant attention in recent years. This study reports the environmentally benign and cost-effective extraction of cellulose from sugarcane bagasse (SCB), a prevalent agro-industrial byproduct for the synthesis of nanoparticles integrated with Zn (CNP-Zn). Cellulose was extracted from SCB through iterative alkali treatment and bleaching, followed by in situ zinc incorporation during nanoparticle formation via acid hydrolysis and physicochemically characterized. Dynamic Light Scattering (DLS) analysis indicated an average particle diameter of 341.52 nm (PDI 0.4786), whereas Field Emission Scanning Electron Microscopy (FESEM) and High-Resolution Transmission Electron Microscopy (HR-TEM) images demonstrated quasi-spherical morphology (< 100 nm). The Fourier Transform Infrared Spectroscopy (FTIR) confirmed the presence of characteristic cellulose functional groups. X-ray Diffraction (XRD) patterns revealed a crystalline structure. Antioxidant activity, assessed via the DPPH assay, demonstrated CNP-Zn's free radical scavenging capacity. Hemolytic analysis (10-500 µg/ml) showed less than 2% red blood cell lysis, supporting the cytocompatibility of CNP-Zn. These nanoparticles exhibited moderate anticancer activity compared to their control (IC

Indexed as

BiocompatibilityBio-stimulantCellulose nanoparticlesSugarcane bagasseSun protection factor

Identifiers

PMID41931200
PMCPMC13049122

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LicenceCC BY-NC-ND
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Registered trials

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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.