Evidence map›Paper›PMID 37063811›Full record

ArticleChemical science2023

A nanoparticle-coated microfluidic chip for automated, non-destructive extraction of encapsulated DNA in data storage.

Chunyang Geng, Shaoqin Liu, Xingyu Jiang

Open access · diamondAbstract read
In one paragraph

Article in Chemical science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. DNA storage: The future direction for medical cold data storage.Synthetic and systems biotechnology · 2025
    Review
  5. 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

3 authors at 1 institution in 1 country.

Chunyang GengSchool of Life Science and Technology, Harbin Institute of Technology 2 Yikuang Road, Nangang District Harbin 150001 P. R. China shaoqinliu@hit.edu.cn.
Shaoqin LiuSchool of Life Science and Technology, Harbin Institute of Technology 2 Yikuang Road, Nangang District Harbin 150001 P. R. China shaoqinliu@hit.edu.cn.ORCID https://orcid.org/0000-0001-6990-8728
Xingyu JiangSchool of Life Science and Technology, Harbin Institute of Technology 2 Yikuang Road, Nangang District Harbin 150001 P. R. China shaoqinliu@hit.edu.cn.ORCID https://orcid.org/0000-0002-5008-4703
Harbin Institute of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA data storage based on tubes as physical storage carriers has been developed to solve the problem of the exponential growth of information. Compact disk (CD)-microfluidics that employs centrifugal forces for fluidic manipulation offers an attractive alternative that integrates complex assays onto a miniaturized platform to result in automation for DNA data storage. In this work, we develop a CD microfluidic chip modified with nanoparticles for accurate fluid flow control. The nanoparticle coating turns microchannels into valves or pumps, which reduces the error in fluidic control from 62% to 6%. Based on the nanoparticle coating, the chip integrates demineralization, nucleic acid amplification, and re-mineralization functions for automated, non-destructive information extraction. We prove the functionality of the chip with mineralized DNA data. Compared to purely manual operation and traditional amplification techniques, the microfluidic chip saves human power and time consumption, demonstrating an essential contribution to the development of DNA data storage.

Identifiers

PMID37063811
PMCPMC10094012
OpenAlexW4320037228

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.