Evidence map›Paper›PMID 33036425›Full record

ArticlePolymers2020

Color-Indicating, Label-Free, Dye-Doped Liquid Crystal Organic-Polymer-Based-Bioinspired Sensor for Biomolecule Immunodetection.

Haw-Ming Huang, Er-Yuan Chuang, Fu-Lun Chen, Jia-De Lin, Yu-Cheng Hsiao

Abstract read
In one paragraph

Article in Polymers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
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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.

Haw-Ming HuangSchool of Dentistry, College of Oral Medicine, Taipei Medical University, Taipei 100, Taiwan.ORCID 0000-0003-4184-3744
Er-Yuan ChuangGraduate Institute of Biomedical Materials and Tissue Engineering, and International PhD Program in Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei 100, Taiwan.
Fu-Lun ChenDivision of Infectious Diseases, Department of Internal Medicine, Wan Fang Hospital, Taipei Medical University, Taipei 100, Taiwan.
Jia-De LinInstitute of Opto-Electronic Engineering, National Dong Hwa University, Hualien 97401, Taiwan.ORCID 0000-0002-5361-5530
Yu-Cheng HsiaoGraduate Institute of Biomedical Optomechatronics, College of Biomedical Engineering, Taipei 11031, Taiwan.

Funding

Ministry of Science and Technology MOST109-2636-E-038-001, 108-2221-E-038-017-MY3 and 108-2320-B-038-061-MY3Taipei Medical University TMU106-AE1-B49Taipei Medical University-Wan Fang Hospital 109TMU-WFH-14
6 · The paper itself

Abstract

The highly sensitive interfacial effects between liquid crystal (LC) and alignment layers make LC-bioinspired sensors an important technology. However, LC-bioinspired sensors are limited by quantification requiring a polarized microscope and expensive equipment, which makes it difficult to commercialize LC-bioinspired sensors. In this report, we first demonstrate that dye-doped LC (DDLC) chips coated with vertically aligned layers can be employed as a new LC-bioinspired sensing technology. The DDLC-bioinspired sensor was tested by detecting bovine serum albumin (BSA) and immunocomplexes of BSA pairs. The intensities of the dye color of the DDLC-bioinspired sensor can be changed with the concentrations of biomolecules and immunocomplexes. A detection limit of 0.5 µg/mL was shown for the color-indicating DDLC-bioinspired sensors. We also designed a new method to use the quantitative DDLC-bioinspired sensor with a smart-phone for potential of home test. The novel DDLC-bioinspired sensor is cheap, label-free, and easy to use, furthering the technology for home and field-based disease-related detection.

Indexed as

bovine serum albumindye-doped liquid crystallabel-free biosensor

Identifiers

PMID33036425
PMCPMC7601757

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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.