Evidence map›Paper›PMID 38153588›Full record

ArticleMikrochimica acta2023

A liquid crystal-based biosensor for sensitive detection of tumor necrosis factor-alpha.

Je-Jin Ryu, Chang-Hyun Jang

Abstract read
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In one paragraph

Article in Mikrochimica acta, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

2 authors at 1 institution in 1 country.

Je-Jin RyuDepartment of Chemistry, Gachon University, Seongnam-daero 1342, Sujeong-Gu, Seongnam-Si, Gyeonggi-Do, 13120, Republic of Korea.
Chang-Hyun JangDepartment of Chemistry, Gachon University, Seongnam-daero 1342, Sujeong-Gu, Seongnam-Si, Gyeonggi-Do, 13120, Republic of Korea. chjang4u@gachon.ac.kr.ORCID 0000-0003-3165-4747
Gachon University · KR

Funding

Gachon University GCU-202110460001National Institute for International Education NRF-2019R1A2C1003862
6 · The paper itself

Abstract

Tumor necrosis factor-alpha (TNF-α) is a cytokine secreted by the macrophages and Th1 cells of the immune system in response to inflammation. Given its significance as a biomarker with elevated levels in physiological fluids in various conditions, there is an increasing demand for a simple and accurate TNF-α detection strategy. In this article, we present a liquid crystal (LC)-based biosensor developed for sensitive TNF-α detection. The biosensor operates as follows: TNF-α and detection antibodies (DAbs) form complexes during preincubation. These complexes then bind with the surface-immobilized capture antibodies (CAbs), facilitating the antigen-antibody reaction between the CAbs and the TNF-α/DAb complexes. This target recognition interaction alters the surface topography, disrupting the vertical orientation of LCs produced by dimethyloctadecyl[3-(trimethoxysilyl)-propyl]ammonium chloride. The orientational change in the LCs can be easily visualized with a polarized optical microscope, resulting in brighter images as TNF-α levels rise. Our results demonstrated a linear range of 5.00-500 pg/mL, with a limit of detection and limit of quantification being 1.08 and 3.56 pg/mL, respectively. Recovery experiments on diluted saliva samples produced reasonable results, with TNF-α recoveries ranging from 97.1% ± 2.58% to 107% ± 5.95%.

Indexed as

Biosensing TechniquesTumor Necrosis Factor-alphaAntibodiesAntibodies, ImmobilizedCytokinesHumansLiquid CrystalsAntibodiesAntibodies, ImmobilizedCytokinesTumor Necrosis Factor-alphaAntibodyBiosensorLiquid crystalPolarized optical microscopeTumor necrosis factor-alpha

Identifiers

PMID38153588
OpenAlexW4390346477

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.