Evidence map›Paper›PMID 40212057›Full record

ArticleSmall science2023

Ultraminiaturized Microfluidic Electrochemical Surface-Enhanced Raman Scattering Chip for Analysis of Neurotransmitters Fabricated by Ship-in-a-Bottle Integration.

Shi Bai, Ying Ma, Kotaro Obata, Koji Sugioka

Abstract read
In one paragraph

Article in Small science, 2023. 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

4 authors.

Shi BaiAdvanced Laser Processing Research Team RIKEN Center for Advanced Photonics 2-1 Hirosawa, Wako Saitama 351-0198 Japan.ORCID 0000-0002-1701-1166
Ying MaAcademy of Artificial Intelligence Beijing Institute of Petrochemical Technology No.19 North Qingyuan Road, Daxing District Beijing 102617 China.
Kotaro ObataAdvanced Laser Processing Research Team RIKEN Center for Advanced Photonics 2-1 Hirosawa, Wako Saitama 351-0198 Japan.
Koji SugiokaAdvanced Laser Processing Research Team RIKEN Center for Advanced Photonics 2-1 Hirosawa, Wako Saitama 351-0198 Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electrochemical surface-enhanced Raman scattering (EC-SERS) is a promising technique for the diagnosis of trace amounts of neurotransmitters, because it can elucidate neurotransmitters' behavior on electrodes to deduce their functions in the human body. However, the current EC-SERS devices need several tens of milliliters of analyte solution to collect enough signal for analysis. Miniaturization of EC-SERS devices is crucial for the early diagnosis of disease and point-of-care testing. Herein, a new type of EC-SERS sensor based on 3D microfluidic chips for the analysis of neurotransmitters in ultrasmall volumes is proposed. The microfluidic EC-SERS chip is fabricated by a ship-in-a-bottle technique based on hybrid laser processing. The working electrode is modified using silver/zinc oxide materials, enabling the formation of a unique "candy apple" structure. To assess the fabricated microfluidic EC-SERS chips, ascorbic acid is analyzed using the ingenious microfluidic EC-SERS chips to elucidate its redox reaction by EC-SERS spectroscopy. Significantly, a sub-10 μL volume of analyte solution is sufficient for EC-SERS analysis, which is several orders smaller in volume than the requirements of current EC-SERS devices. The unprecedented microfluidic EC-SERS chips fabricated by the ship-in-a-bottle integration technique can be used in portable and smart analyzers for next-generation biomedicines and catalysts.

Indexed as

hybrid laser processingmicrofluidic chipsneurotransmittersship-in-a-bottle integration

Identifiers

PMID40212057
PMCPMC11935879

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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.