Evidence map›Paper›PMID 41286372›Full record

ArticleMikrochimica acta2025

Core-shell ZIF-8@Au labels for high-sensitivity lateral flow assays via thiol-functionalization and seed-mediated growth.

Haibo Ma, Changhai Ru, Fanghao Zhang, Kai Hoettges, Junhui Zhu, Pengfei Song

Abstract read
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In one paragraph

Article in Mikrochimica acta, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Haibo MaSchool of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, 215000, China.
Changhai RuSchool of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou, 215009, China.
Fanghao ZhangSchool of Intelligent Manufacturing and Smart Transportation, Suzhou City University, Suzhou, 215204, China.
Kai HoettgesDepartment of Electrical and Electronic Engineering, University of Liverpool, Liverpool, L697ZX, UK.
Junhui ZhuSchool of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou, 215009, China. zhujh@mail.usts.edu.cn.
Pengfei SongSchool of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, 215000, China. pengfei.song@xjtlu.edu.cn.

Funding

National Natural Science Foundation of China 62273247
6 · The paper itself

Abstract

ZIF-8-core/Au-shell (ZIF-8@Au) nanoparticles were fabricated through a two-step strategy involving thiol-modification of ZIF-8 substrates and subsequent Au shell growth via seed-mediated approach, and the ZIF-8@Au nanoparticles were applied to the screening of clostridium difficile infection (CDI). Through regulating dosage of thiol-modifier, we established a surface functionalization protocol that introduced tunable thiol groups onto ZIF-8 particles while preserving their pristine morphology and crystallinity. Subsequent refinement of Au coating parameters enabled the construction of ZIF-8@Au core-shell nanostructures via seed-mediated growth. The resulting ZIF-8@Au nanoparticles were successfully applied to detect biomarkers of CDI, including toxin A, toxin B, and glutamate dehydrogenase (GDH), with sensitivities of 7 pg/mL, 115 pg/mL, and 27 pg/mL, respectively. These results demonstrate the promising potential of this nanoparticle-based platform for lateral flow assays.

Indexed as

GoldMetal NanoparticlesSulfhydryl CompoundsZeolitesBacterial ToxinsClostridioides difficileEnterotoxinsGlutamate DehydrogenaseHumansLimit of DetectionBacterial ToxinsEnterotoxinsGlutamate DehydrogenaseGoldSulfhydryl CompoundsZeolitesClostridium difficile infection (CDI)Core–shell materialsLateral flow assay (LFA)Metal–organic framework (MOF)Seed-mediated growth

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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.