Evidence map›Paper›PMID 33707549›Full record

ArticleScientific reports2021

APTES monolayer coverage on self-assembled magnetic nanospheres for controlled release of anticancer drug Nintedanib.

V C Karade, A Sharma, R P Dhavale, R P Dhavale, S R Shingte, P S Patil, J H Kim, D R T Zahn, A D Chougale, G Salvan and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
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  11. Click Chemistry-Based Bioconjugation of Iron Oxide Nanoparticles.Small (Weinheim an der Bergstrasse, Germany) · 2025
    Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. FeRSC advances · 2024
    Article
  17. Article
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  20. 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

11 authors.

V C Karade *School of Nanoscience and Technology, Shivaji University, Kolhapur, Maharashtra, 416004, India.
A Sharma *Semiconductor Physics, Chemnitz University of Technology, 09107, Chemnitz, Germany.
R P DhavaleSchool of Nanoscience and Technology, Shivaji University, Kolhapur, Maharashtra, 416004, India.
R P DhavaleDepartment of Pharmaceutics, Bharati Vidyapeeth College of Pharmacy, Kolhapur, Maharashtra, 416013, India.
S R ShingteDepartment of Physics, The New College, Shivaji University, Kolhapur, Maharashtra, 416012, India.
P S PatilSchool of Nanoscience and Technology, Shivaji University, Kolhapur, Maharashtra, 416004, India.
J H KimOptoelectronic Convergence Research Center and Department of Materials Science and Engineering, Chonnam National University, Gwangju, 500-757, South Korea.
D R T ZahnSemiconductor Physics, Chemnitz University of Technology, 09107, Chemnitz, Germany.
A D ChougaleDepartment of Chemistry, The New College, Shivaji University, Kolhapur, Maharashtra, 416012, India.
G SalvanSemiconductor Physics, Chemnitz University of Technology, 09107, Chemnitz, Germany. salvan@physik.tu-chemnitz.de.
P B PatilDepartment of Physics, The New College, Shivaji University, Kolhapur, Maharashtra, 416012, India. prashantphy@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of an appropriate delivery system capable of protecting, translocating, and selectively releasing therapeutic moieties to desired sites can promote the efficacy of an active compound. In this work, we have developed a nanoformulation which preserves its magnetization to load a model anticancerous drug and to explore the controlled release of the drug in a cancerous environment. For the preparation of the nanoformulation, self-assembled magnetic nanospheres (MNS) made of superparamagnetic iron oxide nanoparticles were grafted with a monolayer of (3-aminopropyl)triethoxysilane (APTES). A direct functionalization strategy was used to avoid the loss of the MNS magnetization. The successful preparation of the nanoformulation was validated by structural, microstructural, and magnetic investigations. X-ray photoelectron spectroscopy (XPS) and Fourier transform infrared spectroscopy (FTIR) were used to establish the presence of APTES on the MNS surface. The amine content quantified by a ninhydrin assay revealed the monolayer coverage of APTES over MNS. The monolayer coverage of APTES reduced only negligibly the saturation magnetization from 77 emu/g (for MNS) to 74 emu/g (for MNS-APTES). Detailed investigations of the thermoremanent magnetization were carried out to assess the superparamagnetism in the MNS. To make the nanoformulation pH-responsive, the anticancerous drug Nintedanib (NTD) was conjugated with MNS-APTES through the acid liable imine bond. At pH 5.5, which mimics a cancerous environment, a controlled release of 85% in 48 h was observed. On the other hand, prolonged release of NTD was found at physiological conditions (i.e., pH 7.4). In vitro cytotoxicity study showed dose-dependent activity of MNS-APTES-NTD for human lung cancer cells L-132. About 75% reduction in cellular viability for a 100 μg/mL concentration of nanoformulation was observed. The nanoformulation designed using MNS and monolayer coverage of APTES has potential in cancer therapy as well as in other nanobiological applications.

Indexed as

Antineoplastic AgentsCell DeathCell Line, TumorCell SurvivalDelayed-Action PreparationsDrug LiberationHumansIndolesMagnetite NanoparticlesNanospheresPhotoelectron SpectroscopyPropylaminesProtonsSilanesSpectroscopy, Fourier Transform InfraredTemperatureamino-propyl-triethoxysilaneAntineoplastic AgentsDelayed-Action PreparationsIndolesMagnetite NanoparticlesnintedanibPropylaminesProtonsSilanes

Identifiers

PMID33707549
PMCPMC7952395

What OpenQuestion holds

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LicenceCC BY
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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.