Evidence map›Paper›PMID 40502364›Full record

ReviewMaterials today. Bio2025

Synthesis with control of DNA nanoflowers towards biomedical applications.

Nsolo M Maarifa, Fahim El-Kassim M Issimail, Jian He, Xingyi Ma

Abstract readReview
In one paragraph

Review in Materials today. Bio, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Nsolo M MaarifaSchool of Biomedical Engineering, School of Science & School of Marine Science and Technology, Harbin Institute of Technology, Shenzhen, 518055, Guangdong, China.
Fahim El-Kassim M IssimailSchool of Biomedical Engineering, School of Science & School of Marine Science and Technology, Harbin Institute of Technology, Shenzhen, 518055, Guangdong, China.
Jian HeSchool of Instrument and Electronics, North University of China, Taiyuan, 030051, China.
Xingyi MaSchool of Biomedical Engineering, School of Science & School of Marine Science and Technology, Harbin Institute of Technology, Shenzhen, 518055, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Along with the advancement of DNA nanotechnology, DNA nanomaterials have been extensively explored and applied in the biomedical field. DNA nanoflowers (DNFs), characterized as flower-shaped nanocrystals, have attracted notable interest in the biomedical field because of their large surface area relative to volume and significant surface roughness; enabling high loading capacity. Due to their unique sequence programmability, function designability, and biocompatibility, DNFs have increasingly been researched in biosensing, bioimaging and, drug delivery and therapy. Self-assembly of DNFs enables them to maintain DNA stability and provides additional functions of metal ions, which are difficult to obtain through conventional methods. However, some challenges must be addressed, such as the interaction between DNA and inorganic material and controlling the structural features like petals and DNA sequence. In this review, we discussed the designability of DNFs, we subsequently discuss the synthetic methods and controllable parameters. Then, we enumerate recent applications of DNFs in biosensing, bioimaging, drug delivery and therapy and, templating novel functional materials. Finally, we provide conclusion remarks and perspectives for future directions.

Indexed as

BiosensingDesignabilityDNA nanoflowersDNA nanotechnologyRolling circle amplification

Identifiers

PMID40502364
PMCPMC12152897

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.