Evidence map›Paper›PMID 38919772›Full record

ArticleInternational journal of nanomedicine2024

Ultrasensitive Hierarchical AuNRs@SiO

Tong Zhang, Han Wu, Chenling Qiu, Mingxin Wang, Haiting Wang, Shunhua Zhu, Yinhai Xu, Qingli Huang, Shibao Li

Abstract read
In one paragraph

Article in International journal of nanomedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Applications and prospects of biomaterials in diabetes management.Frontiers in bioengineering and biotechnology · 2025
    Review
  6. Response to Article "Ultrasensitive Hierarchical AuNRs@SiOInternational journal of nanomedicine · 2024
    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

9 authors.

Tong Zhang *Medical Technology School of Xuzhou Medical University, Xuzhou, Jiangsu, 221000, People's Republic of China.
Han Wu *Medical Technology School of Xuzhou Medical University, Xuzhou, Jiangsu, 221000, People's Republic of China.
Chenling QiuMedical Technology School of Xuzhou Medical University, Xuzhou, Jiangsu, 221000, People's Republic of China.
Mingxin WangMedical Technology School of Xuzhou Medical University, Xuzhou, Jiangsu, 221000, People's Republic of China.
Haiting WangMedical Technology School of Xuzhou Medical University, Xuzhou, Jiangsu, 221000, People's Republic of China.ORCID 0009-0007-5247-6974
Shunhua ZhuMedical Technology School of Xuzhou Medical University, Xuzhou, Jiangsu, 221000, People's Republic of China.
Yinhai XuDepartment of Laboratory Medicine, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221000, People's Republic of China.
Qingli HuangMedical Technology School of Xuzhou Medical University, Xuzhou, Jiangsu, 221000, People's Republic of China.ORCID 0000-0001-6706-6053
Shibao LiMedical Technology School of Xuzhou Medical University, Xuzhou, Jiangsu, 221000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Insulin and C-peptide played crucial roles as clinical indicators for diabetes and certain liver diseases. However, there has been limited research on the simultaneous detection of insulin and C-peptide in trace serum. It is necessary to develop a novel method with high sensitivity and specificity for detecting insulin and C-peptide simultaneously. Methods: A core-shell-satellites hierarchical structured nanocomposite was fabricated as SERS biosensor using a simple wet-chemical method, employing 4-MBA and DTNB for recognition and antibodies for specific capture. Gold nanorods (Au NRs) were modified with Raman reporter molecules and silver nanoparticles (Ag NPs), creating SERS tags with high sensitivity for detecting insulin and C-peptide. Antibody-modified commercial carboxylated magnetic bead@antibody served as the capture probes. Target materials were captured by probes and combined with SERS tags, forming a "sandwich" composite structure for subsequent detection. Results: Under optimized conditions, the nanocomposite fabricated could be used to detect simultaneously for insulin and C-peptide with the detection limit of 4.29 × 10 Conclusion: This breakthrough provided a novel, sensitive, convenient and stable approach for clinical diagnosis of diabetes and certain liver diseases. Overall, our findings presented a significant contribution to the field of biomedical research, opening up new possibilities for improved diagnosis and monitoring of diabetes and liver diseases.

Indexed as

Biosensing TechniquesC-PeptideGoldInsulinLimit of DetectionMetal NanoparticlesSilicon DioxideSilverSpectrum Analysis, RamanHumansNanocompositesNanotubesC-PeptideGoldInsulinSilicon DioxideSilverC-peptideinsulinnanocompositesSERSsurface-enhanced Raman scattering

Identifiers

PMID38919772
PMCPMC11198011

What OpenQuestion holds

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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.