Evidence map›Paper›PMID 36809414›Full record

ArticleMikrochimica acta2023

Self-powered DNA nanomachines for fluorescence detection of lead.

Xiang-Ling Li, Han Jiang, Lei Zhao, Tian Shun Song, Jing Jing Xie

Abstract read
PubMed Publisher
In one paragraph

Article in Mikrochimica acta, 2023. 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
1.1field-weighted citation impact, top 23% 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

0 citing papers in PubMed, 7 citations in OpenAlex.

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

5 authors at 1 institution in 1 country.

Xiang-Ling LiState Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing, 211816, People's Republic of China.ORCID http://orcid.org/0000-0001-8198-9778
Han JiangState Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing, 211816, People's Republic of China.
Lei ZhaoState Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing, 211816, People's Republic of China.
Tian Shun SongState Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing, 211816, People's Republic of China.
Jing Jing XieState Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing, 211816, People's Republic of China. xiej@njtech.edu.cn.
Nanjing Tech University · CN

Funding

Fundamental Research Funds for Promotion Project 39808129Major Basic Research Project of the Natural Science Foundation of the Jiangsu Higher Education Institutions 20KJB150020National Natural Science Foundation of China 21878150National Natural Science Foundation of China 21904092National Natural Science Foundation of China 22078149Natural Science Foundation of Jiangsu Province BK20220002the National Key Research and Development Program of China 2018YFA0901300
6 · The paper itself

Abstract

A versatile DNA nanomachine detection system has been developed via the combination of DNAzyme with catalytic hairpin assembly (CHA) technology for achieving accurate and sensitive detection of lead ions (Pb

Indexed as

Biosensing TechniquesDNA, CatalyticDNAIonsLeadDNADNA, CatalyticIonsLeadCatalytic hairpin assemblyDNAzymeLead ionsSelf-powered

Identifiers

PMID36809414
OpenAlexW4321438044

What OpenQuestion holds

Textmetadata
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.