Evidence map›Paper›PMID 41699081›Full record

ArticleScientific reports2026

Rheological modulation and drug delivery efficiency of carbon nanotube-integrated guar gum hydrogels.

Swati Sharma, Priyanshi Mulwani

Abstract read
In one paragraph

Article in Scientific reports, 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

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Sprayable Hydrogel Dressings in Wound-Healing Applications.Bioengineering (Basel, Switzerland) · 2026
    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

2 authors.

Swati SharmaDr. D.Y. Patil School of Science & Technology, Dr. D.Y. Patil Vidyapeeth, Pune, 411033, India. swati.sharma@dpu.edu.in.
Priyanshi MulwaniDr. D.Y. Patil School of Science & Technology, Dr. D.Y. Patil Vidyapeeth, Pune, 411033, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Guar gum–based hydrogels are attractive candidates for drug delivery due to their biocompatibility and high swelling capacity; however, their poor mechanical strength and uncontrolled burst release limit their practical applicability. To overcome these limitations, the present study investigates the effect of incorporating unmodified multi-walled carbon nanotubes MWCNTs on the rheological properties and drug release behavior of guar gum (GG) hydrogels. The addition of MWCNTs significantly enhanced the viscoelastic and mechanical characteristics of the hydrogel network, with the storage modulus (G′) increasing from 0.2 MPa for pristine GG to 2.2 MPa for the GG/MWCNT composite containing 0.2 wt% nanotubes, indicating increased crosslinking density and network stability. Drug release studies demonstrated a marked modulation in release kinetics upon nanotube incorporation. While the pristine GG hydrogel exhibited a burst release, delivering nearly 96% of the encapsulated drug within 4 h, the GG/MWCNT (0.2 wt%) hydrogel achieved approximately 97% release in a sustained and controlled manner over 28 h. This delayed release behavior is attributed to the improved structural integrity and stronger polymer–nanotube interactions, which restrict molecular diffusion. Overall, the incorporation of MWCNTs provides a rheology-modulated hydrogel platform with enhanced mechanical strength and prolonged therapeutic efficacy, making it a promising system for advanced controlled drug delivery applications.

Indexed as

Drug Delivery SystemsGalactansHydrogelsMannansNanotubes, CarbonPlant GumsDrug LiberationRheologyGalactansguar gumHydrogelsMannansNanotubes, CarbonPlant GumsDrug deliveryGuar gumHydrogel nanocompositeMWCNTs

Identifiers

PMID41699081
PMCPMC13000258

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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.