Evidence map›Paper›PMID 31141923›Full record

ArticleBiosensors2019

Acoustofluidic Micromixing Enabled Hybrid Integrated Colorimetric Sensing, for Rapid Point-of-Care Measurement of Salivary Potassium.

Vikram Surendran, Thomas Chiulli, Swetha Manoharan, Stephen Knisley, Muthukumaran Packirisamy, Arvind Chandrasekaran

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2019. 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
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

5 citing papers in PubMed, 13 citations in OpenAlex.

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

6 authors at 2 institutions in 2 countries.

Vikram SurendranDepartment of Chemical, Biological and Bio Engineering, North Carolina A & T State University, Greensboro, NC 27411, USA. vsurendran@aggies.ncat.edu.
Thomas ChiulliDepartment of Chemical, Biological and Bio Engineering, North Carolina A & T State University, Greensboro, NC 27411, USA. tjchiulli@aggies.ncat.edu.
Swetha ManoharanDepartment of Chemical, Biological and Bio Engineering, North Carolina A & T State University, Greensboro, NC 27411, USA. smanoharan@aggies.ncat.edu.
Stephen KnisleyDepartment of Chemical, Biological and Bio Engineering, North Carolina A & T State University, Greensboro, NC 27411, USA. sbknisle@ncat.edu.
Muthukumaran PackirisamyDepartment of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, QC H2L5C9, Canada. pmuthu@alcor.concordia.ca.
Arvind ChandrasekaranDepartment of Chemical, Biological and Bio Engineering, North Carolina A & T State University, Greensboro, NC 27411, USA. achandra@ncat.edu.
North Carolina Agricultural and Technical State University · USConcordia University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration of microfluidics with advanced biosensor technologies offers tremendous advantages such as smaller sample volume requirement and precise handling of samples and reagents, for developing affordable point-of-care testing methodologies that could be used in hospitals for monitoring patients. However, the success and popularity of point-of-care diagnosis lies with the generation of instantaneous and reliable results through in situ tests conducted in a painless, non-invasive manner. This work presents the development of a simple, hybrid integrated optical microfluidic biosensor for rapid detection of analytes in test samples. The proposed biosensor works on the principle of colorimetric optical absorption, wherein samples mixed with suitable chromogenic substrates induce a color change dependent upon the analyte concentration that could then be detected by the absorbance of light in its path length. This optical detection scheme has been hybrid integrated with an acoustofluidic micromixing unit to enable uniform mixing of fluids within the device. As a proof-of-concept, we have demonstrated the real-time application of our biosensor format for the detection of potassium in whole saliva samples. The results show that our lab-on-a-chip technology could provide a useful strategy in biomedical diagnoses for rapid analyte detection towards clinical point-of-care testing applications.

Indexed as

Lab-On-A-Chip DevicesPoint-of-Care SystemsBiosensing TechniquesColorimetryEquipment DesignHumansPotassiumSalivaPotassiumacoustofluidicsbiosensorcavitationcolorimetryhybrid integrationmicrofluidicsmicromixingoptical absorbancepoint-of-caresalivary potassium

Identifiers

PMID31141923
PMCPMC6628211
OpenAlexW2947651188

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.