Evidence map›Paper›PMID 35530382›Full record

ArticleRSC advances2022

Sugar based cationic magnetic core-shell silica nanoparticles for nucleic acid extraction.

Tammar Hussein Ali, Amar Mousa Mandal, Thorsten Heidelberg, Rusnah Syahila Duali Hussen

Abstract read
In one paragraph

Article in RSC advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Comparative Evaluation of Different Surface Coatings of FeInternational journal of molecular sciences · 2022
    Article
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

4 authors.

Tammar Hussein AliFaculty of Pharmacy, Department of Pharmaceutical Chemistry, Al-Muthanna University 66001 Samawah Al Muthanna Iraq tammar86@gmail.com tammar@mu.edu.iq.ORCID https://orcid.org/0000-0003-1407-4572
Amar Mousa MandalCollege of Basic Education, Science Department, Al-Muthanna University 66001 Samawah Al Muthanna Iraq.
Thorsten HeidelbergChemistry Department, Faculty of Science, University of Malaya 50603 Kuala Lumpur Malaysia heidelberg@um.edu.my.ORCID https://orcid.org/0000-0003-4428-2233
Rusnah Syahila Duali HussenChemistry Department, Faculty of Science, University of Malaya 50603 Kuala Lumpur Malaysia heidelberg@um.edu.my.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nucleic acid (NA) extraction is an essential step in molecular testing for a wide range of applications. Conventional extraction protocols usually suffer from time consuming removal of non-nucleic acid impurities. In this study, a new magnetic nanoparticle (MNP) is presented to simplify the NA extraction. A core-shell design, comprising of a ferromagnetic core coated with mesoporous silica, forms the basis of the functional nanoparticle. Chemical functionalization of the silica coating includes a multistep synthesis, in which an activated nanoparticle is coupled with a triethylene glycol spaced glycosyl imidazole. The molecular design aims for charge interactions between the imidazolium-based positive nanoparticle surface and nucleic acids, with specific hydrogen bonding between the surface bonded carbohydrate and nucleic acid targets to ensure nucleic acid selectivity and avoid protein contamination. Two different carbohydrates, differing in molecular size, were selected to compare the efficiency in terms of NA extraction. A triethylene glycol spacer provides sufficient flexibility to remove particle surface constraints for the interaction. The Brunauer-Emmett-Teller (BET) analysis shows a significantly larger surface area for the disaccharide-based particles NpFeSiImMalt (∼181 m

Identifiers

PMID35530382
PMCPMC9069700

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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.