Evidence map›Paper›PMID 40558432›Full record

ReviewBiosensors2025

Recent Progress on the Application of Microneedles for In Situ Sampling in Surface-Enhanced Raman Scattering Detection.

Weiqing Yang, Ying Chen, Xingliang Cheng, Shuojiang Liu, Huiqi Zhu, Yuling Hu

Abstract readReview
In one paragraph

Review in Biosensors, 2025. 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. Review
  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

6 authors.

Weiqing YangSchool of Chemistry, Sun Yat-sen University, Guangzhou 510060, China.
Ying ChenSchool of Chemistry, Sun Yat-sen University, Guangzhou 510060, China.
Xingliang ChengSchool of Chemistry, Sun Yat-sen University, Guangzhou 510060, China.
Shuojiang LiuSchool of Chemistry, Sun Yat-sen University, Guangzhou 510060, China.
Huiqi ZhuSchool of Chemistry, Sun Yat-sen University, Guangzhou 510060, China.
Yuling HuSchool of Chemistry, Sun Yat-sen University, Guangzhou 510060, China.ORCID 0000-0001-8859-2714

Funding

Guangdong Basic and Applied Basic Research Foundation of China 2022A1515011171National key Research and Development Program of China 2018YFC1603201National Natural Science Foundation of China 22074162
6 · The paper itself

Abstract

The efficient and non-invasive collection of biological samples has become a critical challenge for the continued development of surface-enhanced Raman scattering (SERS). When integrated with minimally invasive microneedle (MN) sampling technology, SERS enhances its applicability in real-time, non-invasive molecular detection. This review focuses on the latest advances in MN-based SERS sensors. Firstly, a comprehensive summary is presented of MN types and research progress in the design and engineering of SERS-active MNs. Then, the sampling method of SERS MNs and the MN-based SERS detection mode are also described in detail. Finally, the applications of SERS MNs in fields such as disease diagnosis, drug monitoring, and food safety are highlighted. Additionally, current challenges are discussed and future development prospects are prospected with the aim of contributing to the design of MN-based SERS sensors for diverse applications.

Indexed as

Biosensing TechniquesNeedlesSpectrum Analysis, RamanDrug MonitoringHumansin situ samplingmicroneedlesurface-enhanced Raman scattering

Identifiers

PMID40558432
PMCPMC12190841

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Registered trials

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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.