Evidence map›Paper›PMID 33712008›Full record

ArticleJournal of nanobiotechnology2021

Au-Ag assembled on silica nanoprobes for visual semiquantitative detection of prostate-specific antigen.

Hyung-Mo Kim, Jaehi Kim, Jaehyun An, Sungje Bock, Xuan-Hung Pham, Kim-Hung Huynh, Yoonsik Choi, Eunil Hahm, Hobeom Song, Jung-Won Kim and 5 more

Open access · goldAbstract read
In one paragraph

Article in Journal of nanobiotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

22 citing papers in PubMed, 41 citations in OpenAlex.

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  9. Advanced Optical Materials: From Materials to Applications.International journal of molecular sciences · 2023
    Article
  10. Review
  11. Review
  12. Recent Trends in Lateral Flow Immunoassays with Optical Nanoparticles.International journal of molecular sciences · 2023
    Review
  13. Synthesis and Applications of Optical Materials.Nanomaterials (Basel, Switzerland) · 2023
    Article
  14. Review
  15. Article
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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

15 authors at 4 institutions in 1 country.

Hyung-Mo KimDepartment of Bioscience and Biotechnology, Konkuk University, Seoul, Korea.
Jaehi KimDepartment of Bioscience and Biotechnology, Konkuk University, Seoul, Korea.
Jaehyun AnDepartment of Bioscience and Biotechnology, Konkuk University, Seoul, Korea.
Sungje BockDepartment of Bioscience and Biotechnology, Konkuk University, Seoul, Korea.
Xuan-Hung PhamDepartment of Bioscience and Biotechnology, Konkuk University, Seoul, Korea.
Kim-Hung HuynhDepartment of Bioscience and Biotechnology, Konkuk University, Seoul, Korea.
Yoonsik ChoiDepartment of Chemistry Education, Seoul National University, Seoul, Korea.
Eunil HahmDepartment of Bioscience and Biotechnology, Konkuk University, Seoul, Korea.
Hobeom SongBioSquare Inc, Seongnam, Korea.
Jung-Won KimBioSquare Inc, Seongnam, Korea.
Won-Yeop RhoSchool of International Engineering and Science, Jeonbuk National University, Jeonju, Korea.
Dae Hong JeongDepartment of Chemistry Education, Seoul National University, Seoul, Korea.
Ho-Young LeeDepartment of Nuclear Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
Sangchul LeeDepartment of Urology, Seoul National University Bundang Hospital, Seongnam, Korea. slee@snubh.org.
Bong-Hyun JunDepartment of Bioscience and Biotechnology, Konkuk University, Seoul, Korea. bjun@konkuk.ac.kr.ORCID http://orcid.org/0000-0001-6556-7946
Konkuk University · KRSeoul National University Bundang Hospital · KRSeoul National University of Education · KRJeonbuk National University · KR

Funding

Konkuk University 2017-A019-0334Ministry of Health and Welfare HI17C1264
6 · The paper itself

Abstract

backgroundBlood prostate-specific antigen (PSA) levels are widely used as diagnostic biomarkers for prostate cancer. Lateral-flow immunoassay (LFIA)-based PSA detection can overcome the limitations associated with other methods. LFIAbased PSA detection in clinical samples enables prognosis and early diagnosis owing to the use of high-performance signal reporters.

resultsHere, a semiquantitative LFIA platform for PSA detection in blood was developed using Au-Ag nanoparticles (NPs) assembled on silica NPs (SiO2@Au-Ag NPs) that served as signal reporters. Synthesized SiO2@Au-Ag NPs exhibited a high absorbance at a wide wavelength range (400-800 nm), with a high scattering on nitrocellulose membrane test strips. In LFIA, the color intensity of the test line on the test strip differed depending on the PSA concentration (0.30-10.00 ng/mL), and bands for the test line on the test strip could be used as a standard. When clinical samples were assessed using this LFIA, a visual test line with particular color intensity observed on the test strip enabled the early diagnosis and prognosis of patients with prostate cancer based on PSA detection. In addition, the relative standard deviation of reproducibility was 1.41%, indicating high reproducibility, and the signal reporter showed good stability for 10 days.

conclusionThese characteristics of the signal reporter demonstrated the reliability of the LFIA platform for PSA detection, suggesting potential applications in clinical sample analysis.

Indexed as

Biosensing TechniquesColorimetryGoldHumansImmunoassayLimit of DetectionMaleMetal NanoparticlesProstate-Specific AntigenProstatic NeoplasmsReproducibility of ResultsSilicon DioxideSilverGoldProstate-Specific AntigenSilicon DioxideSilverColloid gold nanoparticleColorimetric assayLateral-flow immunoassayNanoparticleProstate cancerProstate-specific antigen

Identifiers

PMID33712008
PMCPMC7953718
OpenAlexW3134422311

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.