Evidence map›Paper›PMID 33430392›Full record

ArticleSensors (Basel, Switzerland)2021

Gradient Waveguide Thickness Guided-Mode Resonance Biosensor.

Jia-Ming Yang, Nien-Zu Yang, Cheng-Hao Chen, Cheng-Sheng Huang

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. 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
1.2field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

4 authors at 1 institution in 1 country.

Jia-Ming YangDepartment of Mechanical Engineering, National Chiao Tung University, Hsinchu 30010, Taiwan.
Nien-Zu YangDepartment of Mechanical Engineering, National Chiao Tung University, Hsinchu 30010, Taiwan.
Cheng-Hao ChenDepartment of Mechanical Engineering, National Chiao Tung University, Hsinchu 30010, Taiwan.
Cheng-Sheng HuangDepartment of Mechanical Engineering, National Chiao Tung University, Hsinchu 30010, Taiwan.
National Yang Ming Chiao Tung University · TW

Funding

Ministry of Science and Technology, Taiwan 108-2221-E-009-115Ministry of Science and Technology, Taiwan 109-2221-E-009-157National Health Research Institutes NHRI-EX109-10921EI
6 · The paper itself

Abstract

Portable systems for detecting biomolecules have attracted considerable attention, owing to the demand for point-of-care testing applications. This has led to the development of lab-on-a-chip (LOC) devices. However, most LOCs are developed with a focus on automation and preprocessing of samples; fluorescence measurement, which requires additional off-chip detection instruments, remains the main detection method in conventional assays. By incorporating optical biosensors into LOCs, the biosensing system can be simplified and miniaturized. However, many optical sensors require an additional coupling device, such as a grating or prism, which complicates the optical path design of the system. In this study, we propose a new type of biosensor based on gradient waveguide thickness guided-mode resonance (GWT-GMR), which allows for the conversion of spectral information into spatial information such that the output signal can be recorded on a charge-coupled device for further analysis without any additional dispersive elements. A two-channel microfluidic chip with embedded GWT-GMRs was developed to detect two model assays in a buffer solution: albumin and creatinine. The results indicated that the limit of detection for albumin was 2.92 μg/mL for the concentration range of 0.8-500 μg/mL investigated in this study, and that for creatinine it was 12.05 μg/mL for the concentration range of 1-10,000 μg/mL. These results indicated that the proposed GWT-GMR sensor is suitable for use in clinical applications. Owing to its simple readout and optical path design, the GWT-GMR is considered ideal for integration with smartphones or as miniaturized displays in handheld devices, which could prove beneficial for future point-of-care applications.

Indexed as

Biosensing TechniquesLab-On-A-Chip DevicesPoint-of-Care Testingguided-mode resonancelabel-free biosensorsubwavelength grating

Identifiers

PMID33430392
PMCPMC7827255
OpenAlexW3118951361

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.