Evidence map›Paper›PMID 39445382›Full record

ArticleAnalytical chemistry2024

Raspberry-Like Plasmonic Nanoaggregates with Programmable Hierarchical Structures for Reproducible SERS Detection of Wastewater Pollutants and Biomarkers.

Huimin Xie, Shuyu Zhu, Ping Wen, Deyue Zhou, Yidan Yin, Yang Lan, Tung-Chun Lee, Yuewen Zhang, Qiaosheng Pu

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In one paragraph

Article in Analytical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Huimin XieCollege of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou 730000, China.
Shuyu ZhuCollege of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou 730000, China.
Ping WenCollege of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou 730000, China.
Deyue ZhouInstitute for Materials Discovery, University College London, London WC1H 0AJ, U.K.ORCID 0009-0002-1798-4360
Yidan YinInstitute for Materials Discovery, University College London, London WC1H 0AJ, U.K.ORCID 0000-0002-7456-5085
Yang LanDepartment of Chemical Engineering, University College London, London WC1E 7JE, U.K.ORCID 0000-0002-6231-9717
Tung-Chun LeeInstitute for Materials Discovery, University College London, London WC1H 0AJ, U.K.ORCID 0000-0002-3163-0000
Yuewen ZhangCollege of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou 730000, China.ORCID 0000-0003-1864-769X
Qiaosheng PuCollege of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou 730000, China.ORCID 0000-0002-5241-7196

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional solid-based SERS substrates often face challenges with inconsistent sample distribution, while liquid-based SERS substrates are prone to aggregation and precipitation, resulting in irreproducible signals in both cases. In this study, we tackled this dilemma by designing and synthesizing raspberry-like plasmonic nanoaggregates that exhibit a high density of hotspots and are colloidally stable at the same time. In particular, the nanoaggregates consist of a core made of functionalized polystyrene (PS) microspheres, which act as a template for rapid self-assembly of Au@Ag core-shell nanoparticles to form raspberry-like hierarchical nanoaggregates within 5 min of mixing. The optimized nanoaggregates can be used as reproducible and stable SERS substrates for a range of wastewater pollutants (e.g., rhodamine 6G (R6G) and malachite green (MG)) and nucleobases (e.g., adenine and uracil), with the detection limits as low as 1 × 10

Indexed as

BiomarkersGoldMetal NanoparticlesSilverSpectrum Analysis, RamanWastewaterWater Pollutants, ChemicalAdenineHumansLimit of DetectionPolystyrenesRhodaminesRosaniline DyesSurface PropertiesAdenineBiomarkersGoldmalachite greenPolystyrenesrhodamine 6GRhodaminesRosaniline DyesSilverWastewaterWater Pollutants, Chemical

Identifiers

PMID39445382
PMCPMC11541892

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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.