Evidence map›Paper›PMID 30631952›Full record

ArticleMikrochimica acta2019

Blended gold/MnO

Jiani Yu, Weitao Yang, Shige Xing, Jun Wang, Huanxing Han, Pengfei Zhang, Chenyang Xiang, Bingbo Zhang

Abstract read
PubMed Publisher
In one paragraph

Article in Mikrochimica acta, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Perfluorooctyl bromide nanoemulsions holding MnOActa pharmaceutica Sinica. B · 2022
    Article
  4. Article
  5. Article
  6. Review
  7. A composite prepared from MnOMikrochimica acta · 2019
    Article
  8. Article
  9. 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

8 authors.

Jiani YuInstitute of Photomedicine, Shanghai Skin Disease Hospital, The Institute for Biomedical Engineering & Nano Science, Tongji University School of Medicine, Shanghai, 200443, People's Republic of China.
Weitao YangInstitute of Photomedicine, Shanghai Skin Disease Hospital, The Institute for Biomedical Engineering & Nano Science, Tongji University School of Medicine, Shanghai, 200443, People's Republic of China.
Shige XingInstitute of Food Safety, Chinese Academy of Inspection & Quarantine, Beijing, 100176, People's Republic of China.
Jun WangInstitute of Photomedicine, Shanghai Skin Disease Hospital, The Institute for Biomedical Engineering & Nano Science, Tongji University School of Medicine, Shanghai, 200443, People's Republic of China.
Huanxing HanDepartment of Pharmacy, Changzheng Hospital, Second Military Medical University, Shanghai, 200003, People's Republic of China.
Pengfei ZhangDepartment of Pharmacy, Changzheng Hospital, Second Military Medical University, Shanghai, 200003, People's Republic of China.
Chenyang XiangInstitute of Photomedicine, Shanghai Skin Disease Hospital, The Institute for Biomedical Engineering & Nano Science, Tongji University School of Medicine, Shanghai, 200443, People's Republic of China.
Bingbo ZhangInstitute of Photomedicine, Shanghai Skin Disease Hospital, The Institute for Biomedical Engineering & Nano Science, Tongji University School of Medicine, Shanghai, 200443, People's Republic of China. bingbozhang@tongji.edu.cn.ORCID http://orcid.org/0000-0002-0981-7071

Funding

National Natural Science Foundation of China 81571742, 81871399, 81801823Postdoctoral Research Foundation of China 1500229020
6 · The paper itself

Abstract

A fluorometric and magnetic resonance (MR) dual-modal detection scheme is presented for determination of ascorbic acid (AA). It is based on the use of a blended Au/MnO

Indexed as

Ascorbic acidBiomimetic approachDual-modal detection

Identifiers

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.