Evidence map›Paper›PMID 35171552›Full record

ArticleACS applied materials & interfaces2022

Printed Ultrastable Bioplasmonic Microarrays for Point-of-Need Biosensing.

Heng Guo, Ze Yin, Myeong Namkoong, Yixuan Li, Tan Nguyen, Elizabeth Salcedo, Ivanna Arizpe, Limei Tian

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
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

8 authors.

Heng GuoDepartment of Biomedical Engineering, Texas A&M University, College Station, Texas 77843, United States.
Ze YinDepartment of Biomedical Engineering, Texas A&M University, College Station, Texas 77843, United States.
Myeong NamkoongDepartment of Biomedical Engineering, Texas A&M University, College Station, Texas 77843, United States.
Yixuan LiDepartment of Biomedical Engineering, Texas A&M University, College Station, Texas 77843, United States.
Tan NguyenDepartment of Biomedical Engineering, Texas A&M University, College Station, Texas 77843, United States.
Elizabeth SalcedoDepartment of Biomedical Engineering, Texas A&M University, College Station, Texas 77843, United States.
Ivanna ArizpeDepartment of Biomedical Engineering, Texas A&M University, College Station, Texas 77843, United States.
Limei TianDepartment of Biomedical Engineering, and Center for Remote Health Technologies and Systems, Texas A&M University, College Station, Texas 77843, United States.ORCID https://orcid.org/0000-0002-1931-8567

Funding

Refreshable Biosensors for Continuous Renal Function MonitoringR21EB029064 · NIBIB · TEXAS ENGINEERING EXPERIMENT STATION · PI TIAN, LIMEI · 2020 to 2020
$589k
NIBIB NIH HHS R21 EB029064
6 · The paper itself

Abstract

Paper-based point-of-need (PON) biosensors are attractive for various applications, including food safety, agriculture, disease diagnosis, and drug screening, owing to their low cost and ease of use. However, existing paper-based biosensors mainly rely on biolabels, colorimetric reagents, and biorecognition elements and exhibit limited stability under harsh environments. Here, we report a label-free paper-based biosensor composed of bioplasmonic microarrays for sensitive detection and quantification of protein targets in small volumes of biofluids. Bioplasmonic microarrays were printed using an ultrastable bioplasmonic ink, rendering the PON sensors excellent thermal, chemical, and biological stability for their reliable performance in resource-limited settings. We fabricated silicone hydrophobic barriers and bioplasmonic microarrays with direct writing and droplet jetting approaches on a three-dimensional (3D) nanoporous paper. Direct writing hydrophobic barriers can define hydrophilic channels less than 100 μm wide. High-resolution patterning of hydrophilic test domains enables the handling and analysis of small fluid volumes. We show that the plasmonic sensors based on a vertical flow assay provide similar sensitivity and low limit of detection with a 60 μL sample volume compared to those with 500 μL samples based on an immersion approach and can shorten assay time from 90 to 20 min.

Indexed as

Biosensing TechniquesColorimetryHydrophobic and Hydrophilic InteractionsMicroarray Analysisbioprintingdirect ink writinglocalized surface plasmon resonanceplasmonic biosensorplasmonic microarraysilicone hydrophobic barriervertical flow assay

Identifiers

PMID35171552
PMCPMC9359782

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Registered trials

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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.