Evidence map›Paper›PMID 29532022›Full record

ArticleACS central science2018

Metabolic Fingerprinting on a Plasmonic Gold Chip for Mass Spectrometry Based

Xuming Sun, Lin Huang, Ru Zhang, Wei Xu, Jingyi Huang, Deepanjali D Gurav, Vadanasundari Vedarethinam, Ruoping Chen, Jiatao Lou, Qian Wang and 2 more

Open access · diamondAbstract read
In one paragraph

Article in ACS central science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
8.3field-weighted citation impact, top 2% 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

24 citing papers in PubMed, 117 citations in OpenAlex.

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  11. Diagnosis and prognosis of breast cancer by high-performance serum metabolic fingerprints.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. A Biomimetic Plasmonic Nanoreactor for Reliable Metabolite Detection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020
    Article
  18. Cancer Diagnosis through SERS and Other Related Techniques.International journal of molecular sciences · 2020
    Review
  19. Review
  20. Review
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

12 authors at 2 institutions in 1 country.

Xuming SunSchool of Biomedical Engineering, Shanghai Chest Hospital, Children's Hospital of Shanghai, and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200030, P. R. China.
Lin HuangSchool of Biomedical Engineering, Shanghai Chest Hospital, Children's Hospital of Shanghai, and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200030, P. R. China.
Ru ZhangSchool of Biomedical Engineering, Shanghai Chest Hospital, Children's Hospital of Shanghai, and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200030, P. R. China.
Wei XuSchool of Biomedical Engineering, Shanghai Chest Hospital, Children's Hospital of Shanghai, and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200030, P. R. China.
Jingyi HuangSchool of Biomedical Engineering, Shanghai Chest Hospital, Children's Hospital of Shanghai, and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200030, P. R. China.
Deepanjali D GuravSchool of Biomedical Engineering, Shanghai Chest Hospital, Children's Hospital of Shanghai, and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200030, P. R. China.
Vadanasundari VedarethinamSchool of Biomedical Engineering, Shanghai Chest Hospital, Children's Hospital of Shanghai, and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200030, P. R. China.
Ruoping ChenSchool of Biomedical Engineering, Shanghai Chest Hospital, Children's Hospital of Shanghai, and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200030, P. R. China.
Jiatao LouSchool of Biomedical Engineering, Shanghai Chest Hospital, Children's Hospital of Shanghai, and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200030, P. R. China.
Qian WangSchool of Biomedical Engineering, Shanghai Chest Hospital, Children's Hospital of Shanghai, and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200030, P. R. China.
Jingjing WanDepartment of Chemistry, East China Normal University, Shanghai, 200241, P. R. China.
Kun QianSchool of Biomedical Engineering, Shanghai Chest Hospital, Children's Hospital of Shanghai, and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200030, P. R. China.
Shanghai Jiao Tong University · CNEast China Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current metabolic analysis is far from ideal to engage clinics and needs rationally designed materials and device. Here we developed a novel plasmonic chip for clinical metabolic fingerprinting. We first constructed a series of chips with gold nanoshells on the surface through controlled particle synthesis, dip-coating, and gold sputtering for mass production. We integrated the optimized chip with microarrays for laboratory automation and micro-/nanoscaled experiments, which afforded direct high-performance metabolic fingerprinting by laser desorption/ionization mass spectrometry using 500 nL of various biofluids and exosomes. Further we for the first time demonstrated on-chip

Identifiers

PMID29532022
PMCPMC5832996
OpenAlexW2783423269

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.