Evidence map›Paper›PMID 30654428›Full record

ArticleBiosensors2019

Enzymatic Low Volume Passive Sweat Based Assays for Multi-Biomarker Detection.

Ashlesha Bhide, Sarah Cheeran, Sriram Muthukumar, Shalini Prasad

Abstract 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 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
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  9. Monitor for lactate in perspiration.The journal of physiological sciences : JPS · 2021
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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

4 authors.

Ashlesha BhideDepartment of Bioengineering, University of Texas at Dallas, 800 West Campbell Road, Richardson, TX 75080, USA. Ashlesha.Bhide@utdallas.edu.
Sarah CheeranDepartment of Bioengineering, University of Texas at Dallas, 800 West Campbell Road, Richardson, TX 75080, USA. Sarah.Cheeran@utdallas.edu.
Sriram MuthukumarEnlisense LLC, 1813 Audubon Pond way, Allen, TX 75013, USA. Sriram.Muthukumar@utdallas.edu.
Shalini PrasadDepartment of Bioengineering, University of Texas at Dallas, 800 West Campbell Road, Richardson, TX 75080, USA. Shalini.Prasad@utdallas.edu.

Funding

National Institutes of Health R43AA026114
6 · The paper itself

Abstract

Simultaneous detection of correlated multi-biomarkers on a single low-cost platform in ultra-low fluid volumes with robustness is in growing demand for the development of wearable diagnostics. A non-faradaic biosensor for the simultaneous detection of alcohol, glucose, and lactate utilizing low volumes (1⁻5 μL) of sweat is demonstrated. Biosensing is implemented using nanotextured ZnO films integrated on a flexible porous membrane to achieve enhanced sensor performance. The ZnO sensing region is functionalized with enzymes specific for the detection of alcohol, glucose, and lactate in the ranges encompassing their physiologically relevant levels. A non-faradaic chronoamperometry technique is used to measure the current changes associated with interactions of the target biomarkers with their specific enzyme. The specificity performance of the biosensing platform was established in the presence of cortisol as the non-specific molecule. Biosensing performance of the platform in a continuous mode performed over a 1.5-h duration showed a stable current response to cumulative lifestyle biomarker concentrations with capability to distinguish reliably between low, mid, and high concentration ranges of alcohol (0.1, 25, 100 mg/dL), glucose (0.1, 10, 50 mg/dL), and lactate (1, 50, 100 mM). The low detection limits and a broader dynamic range for the lifestyle biomarker detection are quantified in this research demonstrating its suitability for translation into a wearable device.

Indexed as

AlcoholsBiomarkersBiosensing TechniquesEccrine GlandsEnzyme AssaysGlucoseHumansHydrogen-Ion ConcentrationLactic AcidLimit of DetectionSweatWearable Electronic DevicesZinc OxideAlcoholsBiomarkersGlucoseLactic AcidZinc Oxidealcohol detectionchronoamperometrycontinuous monitoringenzyme-based assayglucose detectionlactate detectionsweat sensingwearable biosensing

Identifiers

PMID30654428
PMCPMC6468720

What OpenQuestion holds

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LicenceCC BY
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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.