Evidence map›Paper›PMID 39703561›Full record

ArticleNanotechnology, science and applications2024

Optimization of Binding Buffer Composition (Polyethylene Glycol, Sodium Chloride and pH) for Extraction of DNA from Biological Fluids Using Polyethyleneimine Functionalized Iron Oxide Nanoparticle-Based Method.

Imran Khan, Gaurav Kaushik, Chaitenya Verma, Richa Vashishtha, Vinay Kumar

Abstract read
In one paragraph

Article in Nanotechnology, science and applications, 2024. 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. 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

5 authors.

Imran KhanSchool of Allied Health Sciences, Sharda University, Greater Noida, Uttar Pradesh, 201310, India.
Gaurav KaushikSchool of Allied Health Sciences, Sharda University, Greater Noida, Uttar Pradesh, 201310, India.
Chaitenya VermaDepartment of Biotechnology, Sharda University, Greater Noida, Uttar Pradesh, 201310, India.ORCID 0000-0001-5723-6346
Richa VashishthaDepartment of Medicine, All India Institute of Medical Sciences, New Delhi, 110029, India.
Vinay KumarPennsylvania State University Hershey Medical Center, Hershey, PA, 17033, USA.ORCID 0000-0002-6751-5741

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Efficient extraction of DNA from biological fluids is crucial for applications in molecular biology, forensic science, and clinical diagnostics. However, traditional DNA extraction methods often require costly reagents and lengthy procedures. This study aims to optimize the binding buffer composition for DNA extraction using polyethyleneimine-coated iron oxide nanoparticles (PEI-IONPs), which offer the dual benefits of magnetic separation and high DNA-binding efficiency. Methods: The effects of three key binding buffer components-polyethylene glycol (PEG-6000), sodium chloride (NaCl), and pH-on DNA adsorption efficiency were systematically evaluated. Blood samples were treated with PEI-IONPs under various conditions, and DNA concentration, yield, and purity were quantified. Nanoparticle functionalization was confirmed through characterization, and DNA quality was validated via agarose gel electrophoresis. Results: The optimized binding buffer composition consisted of a PEG-6000 concentration of 30%, NaCl concentration of 0M, and pH of 4, which yielded the highest DNA concentration (34 ± 1.2 ng/μL), yield (6.8 ± 0.2 μg), and purity (A260/A280 ratio of 1.81). These conditions significantly improved DNA recovery compared to suboptimal buffer compositions. Conclusion: The findings highlighted the critical role of binding buffer composition in maximizing DNA recovery. The use of optimized PEI-IONPs provided a rapid and efficient method for DNA extraction, supporting its potential for applications in scientific and clinical research. Future studies should explore the robustness of these optimized conditions across diverse biological fluids and extraction settings.

Indexed as

bloodDNAFTIRnanoparticlespolyethyleneimineTEM

Identifiers

PMID39703561
PMCPMC11656329

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