Evidence map›Paper›PMID 39529739›Full record

ArticleRSC advances2024

Upconversion nanoparticles incorporated with three-dimensional graphene composites for electrochemical sensing of baicalin from natural plants.

Na Zhang, Yilin Wu, Tian Liang, Yongxiang Su, Xusheng Xie, Tianren Zhang, Hongyan Wang, Keying Zhang, Rongli Jiang

Abstract read
In one paragraph

Article in RSC advances, 2024. 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

9 authors.

Na ZhangSchool of Chemical Engineering and Technology, China University of Mining and Technology Xuzhou Jiangsu 221116 China ronglijcumt@163.com.
Yilin WuAnhui Key Laboratory of Spin Electron and Nanomaterials of Anhui Higher Education Institutes, School of Chemistry and Chemical Engineering, Suzhou University Suzhou Anhui 234000 China zhangky1983@163.com.
Tian LiangAnhui Key Laboratory of Spin Electron and Nanomaterials of Anhui Higher Education Institutes, School of Chemistry and Chemical Engineering, Suzhou University Suzhou Anhui 234000 China zhangky1983@163.com.
Yongxiang SuAnhui Key Laboratory of Spin Electron and Nanomaterials of Anhui Higher Education Institutes, School of Chemistry and Chemical Engineering, Suzhou University Suzhou Anhui 234000 China zhangky1983@163.com.
Xusheng XieAnhui Key Laboratory of Spin Electron and Nanomaterials of Anhui Higher Education Institutes, School of Chemistry and Chemical Engineering, Suzhou University Suzhou Anhui 234000 China zhangky1983@163.com.
Tianren ZhangAnhui Key Laboratory of Spin Electron and Nanomaterials of Anhui Higher Education Institutes, School of Chemistry and Chemical Engineering, Suzhou University Suzhou Anhui 234000 China zhangky1983@163.com.
Hongyan WangAnhui Key Laboratory of Spin Electron and Nanomaterials of Anhui Higher Education Institutes, School of Chemistry and Chemical Engineering, Suzhou University Suzhou Anhui 234000 China zhangky1983@163.com.
Keying ZhangAnhui Key Laboratory of Spin Electron and Nanomaterials of Anhui Higher Education Institutes, School of Chemistry and Chemical Engineering, Suzhou University Suzhou Anhui 234000 China zhangky1983@163.com.ORCID https://orcid.org/0000-0002-7888-7938
Rongli JiangSchool of Chemical Engineering and Technology, China University of Mining and Technology Xuzhou Jiangsu 221116 China ronglijcumt@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chinese medicine has been widely studied owing to its many advantages. Baicalin (Bn), extracted from natural plants, has been shown to have significant anti-inflammatory and anticancer activity. Therefore, it is of great significance to develop a suitable method to detect the content of Bn in traditional Chinese medicine. Herein, we report an electrochemical sensor for the sensitive detection of Bn in

Identifiers

PMID39529739
PMCPMC11551915

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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.