Evidence map›Paper›PMID 37232883›Full record

ArticleBiosensors2023

Fiber Optic Localized Surface Plasmon Resonance Sensor Based on Carboxymethylated Dextran Modified Gold Nanoparticles Surface for High Mobility Group Box 1 (HMGB1) Analysis.

Chang-Yue Chiang, Chien-Hsing Chen, Chin-Wei Wu

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

Article in Biosensors, 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
2.0field-weighted citation impact, top 14% 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, 13 citations in OpenAlex.

  1. 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

3 authors at 2 institutions in 1 country.

Chang-Yue ChiangGraduate School of Engineering Science and Technology and Interdisciplinary Program of Engineering, National Yunlin University of Science and Technology, Yunlin 64002, Taiwan.ORCID 0000-0002-0839-7538
Chien-Hsing ChenDepartment of Biomechatronics Engineering, National Pingtung University of Science and Technology, Pingtung 91201, Taiwan.ORCID 0000-0002-9848-4378
Chin-Wei WuGraduate School of Engineering Science and Technology and Interdisciplinary Program of Engineering, National Yunlin University of Science and Technology, Yunlin 64002, Taiwan.ORCID 0000-0002-1915-1699
National Yunlin University of Science and Technology · TWNational Pingtung University of Science and Technology · TW

Funding

The joint research program from National Taiwan University of Science and Technology/National Yunlin University of Science and Technology/National Pingtung University of Science and Technology; National Yunlin University of Science and Technology office o NPUST-NYUST-NTUST-112-04 and 112TAPX-AA (112T05)
6 · The paper itself

Abstract

Rapid, sensitive, and reliable detection of high mobility group box 1 (HMGB1) is essential for medical and diagnostic applications due to its important role as a biomarker of chronic inflammation. Here, we report a facile method for the detection of HMGB1 using carboxymethyl dextran (CM-dextran) as a bridge molecule modified on the surface of gold nanoparticles combined with a fiber optic localized surface plasmon resonance (FOLSPR) biosensor. Under optimal conditions, the results showed that the FOLSPR sensor detected HMGB1 with a wide linear range (10

Indexed as

Biosensing TechniquesHMGB1 ProteinMetal NanoparticlesDextransGoldSurface Plasmon ResonanceDextransGoldHMGB1 Proteinbiosensorcarboxymethyl-dextrangold nanoparticlehigh mobility group box 1kinetic bindinglocalized surface plasmon resonance

Identifiers

PMID37232883
PMCPMC10216769
OpenAlexW4378348940

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.