Evidence map›Paper›PMID 38258140›Full record

ArticleMicromachines2023

Using a 3D Silicon Micro-Channel Device and Raman Spectroscopy for the Analysis of Whole Blood and Abnormal Blood.

Chao-Ching Chiang, Song-Jeng Huang, Philip Nathaniel Immanuel, Jun-Han Lan, Fang-Yuh Lo, Kung-Chia Young

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Micromachines, 2023. 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
1.1field-weighted citation impact, top 15% of its field
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, 3 citations in OpenAlex.

  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 at 3 institutions in 1 country.

Chao-Ching ChiangDepartment of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan.ORCID 0000-0002-4127-0950
Song-Jeng HuangDepartment of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan.ORCID 0000-0002-6582-0339
Philip Nathaniel ImmanuelDepartment of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan.ORCID 0000-0003-0439-3537
Jun-Han LanDepartment of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan.
Fang-Yuh LoDepartment of Physics, National Taiwan Normal University, Taipei 10611, Taiwan.ORCID 0000-0003-4332-8340
Kung-Chia YoungDepartment of Medical Laboratory Science and Biotechnology, National Cheng Kung University, Tainan 70101, Taiwan.
National Taiwan University of Science and Technology · TWNational Taiwan Normal University · TWNational Cheng Kung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood testing is a crucial application in the field of clinical studies for disease diagnosis and screening, biomarker discovery, organ function assessment, and the personalization of medication. Therefore, it is of the utmost importance to collect precise data in a short time. In this study, we utilized Raman spectroscopy to analyze blood samples for the extraction of comprehensive biological information, including the primary components and compositions present in the blood. Short-wavelength (532 nm green light) Raman scattering spectroscopy was applied for the analysis of the blood samples, plasma, and serum for detection of the biological characteristics in each sample type. Our results indicated that the whole blood had a high hemoglobin content, which suggests that hemoglobin is a major component of blood. The characteristic Raman peaks of hemoglobin were observed at 690, 989, 1015, 1182, 1233, 1315, and 1562-1649 cm

Indexed as

3D silicon micro-channel devicebiological informationblood testinghemoglobinRaman spectroscopy

Identifiers

PMID38258140
PMCPMC10819504
OpenAlexW4390105999

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.