Evidence map›Paper›PMID 32927619›Full record

ArticleBiosensors2020

LipiSensors: Exploiting Lipid Nanoemulsions to Fabricate Ionophore-Based Nanosensors.

Alexandra L Dailey, Meredith D Greer, Tyler Z Sodia, Megan P Jewell, Tabitha A Kalin, Kevin J Cash

Abstract read
In one paragraph

Article in Biosensors, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Alexandra L DaileyChemical and Biological Engineering, Colorado School of Mines, Golden, CO 80401, USA.
Meredith D GreerChemical and Biological Engineering, Colorado School of Mines, Golden, CO 80401, USA.
Tyler Z SodiaQuantitative Biosciences and Engineering, Colorado School of Mines, Golden, CO 80401, USA..
Megan P JewellChemical and Biological Engineering, Colorado School of Mines, Golden, CO 80401, USA.
Tabitha A KalinChemical and Biological Engineering, Colorado School of Mines, Golden, CO 80401, USA.
Kevin J CashChemical and Biological Engineering, Colorado School of Mines, Golden, CO 80401, USA.ORCID 0000-0002-9748-2530

Funding

Colorado Clinical and Translational Sciences InstituteUL1TR001082 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2013 to 2017
$48.0M
National Science Foundation 1944204NCATS NIH HHS UL1 TR001082
6 · The paper itself

Abstract

Ionophore-based nanosensors (IBNS) are tools that enable quantification of analytes in complex chemical and biological systems. IBNS methodology is adopted from that of bulk optodes where an ion exchange event is converted to a change in optical output. While valuable, an important aspect for application is the ability to intentionally tune their size with simple approaches, and ensure that they contain compounds safe for application. Lipidots are a platform of size tunable lipid nanoemulsions with a hydrophobic lipid core typically used for imaging and drug delivery. Here, we present LipiSensors as size tunable IBNS by exploiting the Lipidot model as a hydrophobic structural support for the sensing moieties that are traditionally encased in plasticized PVC nanoparticles. The LipiSensors we demonstrate here are sensitive and selective for calcium, reversible, and have a lifetime of approximately one week. By changing the calcium sensing components inside the hydrophobic core of the LipiSensors to those sensitive for oxygen, they are also able to be used as ratiometric O

Indexed as

Biosensing TechniquesBiocompatible MaterialsCalciumIonophoresLipidsNanoparticlesBiocompatible MaterialsCalciumIonophoresLipidscalciumchemosensorfluorescencenanoparticleoxygen sensingprobes

Identifiers

PMID32927619
PMCPMC7557773

What OpenQuestion holds

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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.