Evidence map›Paper›PMID 38662337›Full record

ArticleAnalytical sciences : the international journal of the Japan Society for Analytical Chemistry2024

Sandwich-like voltametric immunosensing of interleukin-8 based on β-cyclodextrin/carbon nanotubes and methylthionine chloride@UIO-66 framework.

Zhihua Zhou, Jiajia Lin, Daoping Yue, Huaiyu Chen, Sheng Chen

Abstract read
PubMed Publisher
In one paragraph

Article in Analytical sciences : the international journal of the Japan Society for Analytical Chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 3 institutions in 1 country.

Zhihua Zhou *Department of Urology, Meng Chao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, People's Republic of China.
Jiajia Lin *Department of Neonatology, Fujian Children's Hospital (Fujian Branch of Shanghai Children's Medical Center), College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, People's Republic of China.
Daoping YueNingde City Hospital, Ningde Normal University, Ningde, People's Republic of China.
Huaiyu ChenDepartment of Intensive Care Unit, the People's Hospital of Fujian Traditional Medical University, Fuzhou, People's Republic of China. chenhuaiyu2023@126.com.
Sheng ChenDepartment of Cardiovascular Surgery, Fujian Medical University Union Hospital, Fuzhou, People's Republic of China. dr_chens@163.com.
Fujian Medical University · CNMengchao Hepatobiliary Hospital · CNNingde Normal University · CN

Funding

Fuzhou Science and Technology Innovation and Entrepreneurship Talent Cultivation Plan Project 2022-R-007
6 · The paper itself

Abstract

The level of interleukin-8 (IL-8) in the body is an effective factor for the early diagnosis of acute tubular necrosis and oral tumor. In this work, a novel sandwich-like voltametric immunosensor (SVS) of IL-8 was constructed by preparing β-cyclodextrin/carbon nanotube (CD/CNT) to immobilize primary antibody (PAb) of IL-8 and UIO-66-NH

Indexed as

beta-CyclodextrinsBiosensing TechniquesInterleukin-8Nanotubes, CarbonAntibodies, ImmobilizedHumansImmunoassayLimit of DetectionMetal-Organic FrameworksAntibodies, Immobilizedbeta-CyclodextrinsbetadexInterleukin-8Metal-Organic FrameworksNanotubes, CarbonAcute tubular necrosisCyclodextrinElectrochemical sensorIL-8Interleukin-8Oral cancerUIO-66

Identifiers

PMID38662337
OpenAlexW4395463337

What OpenQuestion holds

Textmetadata
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.