Evidence map›Paper›PMID 39883334›Full record

ReviewAdvanced biotechnology2024

Bio-nanopore technology for biomolecules detection.

Peizhi Li, Dan Liang, En Yang, Mustafa Zeb, Huiqi Huang, Haihui Sun, Wenhan Zhang, Chifang Peng, Yuan Zhao, Wei Ma

Abstract readReview
In one paragraph

Review in Advanced biotechnology, 2024. 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. Review
  3. Article
  4. 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

10 authors.

Peizhi LiSchool of Food Science and Technology, State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, 214122, Jiangsu, China.
Dan LiangKey Laboratory of Synthetic and Biological Colloids, Ministry of Education, School of Chemical and Material Engineering, Jiangnan University, Wuxi, 214122, Jiangsu, China.
En YangSchool of Food Science and Technology, State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, 214122, Jiangsu, China.
Mustafa ZebSchool of Food Science and Technology, State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, 214122, Jiangsu, China.
Huiqi HuangYichun Dahaigui Life Science Co., Ltd, Yichun, Jiangxi, 336000, China.
Haihui SunYichun Dahaigui Life Science Co., Ltd, Yichun, Jiangxi, 336000, China.
Wenhan ZhangWuxi Gujing Biotechnology Co., Ltd, Wuxi, Jiangsu, China.
Chifang PengSchool of Food Science and Technology, State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, 214122, Jiangsu, China.
Yuan ZhaoKey Laboratory of Synthetic and Biological Colloids, Ministry of Education, School of Chemical and Material Engineering, Jiangnan University, Wuxi, 214122, Jiangsu, China.
Wei MaSchool of Food Science and Technology, State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, 214122, Jiangsu, China. mawei209@126.com.ORCID http://orcid.org/0000-0002-1278-9235

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bio-nanopore technology holds great promise in biomacromolecule detection, with its high throughput and low cost positioning it as an ideal detection tool. This technology employs a unique detection mechanism that utilizes nanoscale pores to rapidly and sensitively convert biological molecules interactions into electrical signals, enabling real-time, single-molecule detection with exceptional sensitivity. This review focuses on the latest advancements in this technology across various domains, including DNA and RNA sequencing, protein detection, and small molecule identification. Additionally, future trends are explored, providing a comprehensive and in-depth perspective on the role of bio-nanopore technology in biomolecule detection.

Indexed as

Bio-nanoporeDNA sequencingProtein detectionRNA sequencingSmall molecule detection

Identifiers

PMID39883334
PMCPMC11740844

What OpenQuestion holds

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LicenceCC BY
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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.