Evidence map›Paper›PMID 36705731›Full record

ArticleAnalytical and bioanalytical chemistry2023

A 3D-printed analytical device seamlessly integrating sample treatment for electrochemical detection of IAA in Marchantia polymorpha.

Xiang-Yun Lin, Ya-Hong Wang, Wu Liu, Xiao-Lei Huo, Ning Bao

Abstract read
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In one paragraph

Article in Analytical and bioanalytical chemistry, 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
0.8field-weighted citation impact, top 28% 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, 5 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 2 institutions in 1 country.

Xiang-Yun LinSchool of Public Health, Nantong University, 9 Seyuan Rd., Nantong, 226019, Jiangsu, China.
Ya-Hong WangSchool of Public Health, Nantong University, 9 Seyuan Rd., Nantong, 226019, Jiangsu, China.
Wu LiuNational Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032, China. liuwu@cemps.ac.cn.
Xiao-Lei HuoSchool of Public Health, Nantong University, 9 Seyuan Rd., Nantong, 226019, Jiangsu, China. hxl362349@ntu.edu.cn.
Ning BaoSchool of Public Health, Nantong University, 9 Seyuan Rd., Nantong, 226019, Jiangsu, China. ningbao@ntu.edu.cn.ORCID http://orcid.org/0000-0002-5630-4359
Nantong University · CNChinese Academy of Sciences · CN

Funding

National Natural Science Foundation of China 32070397
6 · The paper itself

Abstract

Because of the pivotal point of Marchantia polymorpha (M. polymorpha) in plant evolution, its auxin (mainly indole-3-acetic acid, IAA) levels could provide useful evidence for the study of the evolution of IAA. However, M. polymorpha could not be easily pretreated for electrochemical detection because they are at the entry level of land plants. Herein, we designed a three-dimensional (3D)-printed analytical device for seamless integration of sample treatment and electrochemical detection. Specifically, the electrochemical cell could be used as a mortar in which a tiny plant sample could be ground with a 3D-printed pestle, followed by mixing with the buffer solution under vibration for electrochemical detection of IAA with a disposable working electrode at the bottom of the cell. Using our strategy, the limits of quantification could reach 0.05 μmol L

Indexed as

MarchantiaPrinting, Three-Dimensional3D-printed analytical deviceDisposable electrodeElectrochemical detectionSample treatmentSeamless integration

Identifiers

PMID36705731
OpenAlexW4318206469

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.