Evidence map›Paper›PMID 22725692›Full record

ArticleAnalytical chemistry2012

Biodegradable optode-based nanosensors for in vivo monitoring.

Mary K Balaconis, Heather A Clark

Abstract read
In one paragraph

Article in Analytical chemistry, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 43 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Optical Nanosensors forAnalytical methods : advancing methods and applications · 2020
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. 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

2 authors at 1 institution in 1 country.

Mary K BalaconisDepartment of Bioengineering, Northeastern University, Boston, Massachusetts 02115, United States.
Heather A Clark
Northeastern University · US

Funding

Ion Selective Quantum Dots for Intracellular Mapping of Sodium Sparks in Cardiac R01GM084366 · NIGMS · NORTHEASTERN UNIVERSITY · PI CLARK, HEATHER A · 2008 to 2012
$1.3M
NIGMS NIH HHS 5R01GM084366NIGMS NIH HHS R01 GM084366
6 · The paper itself

Abstract

Optode-based fluorescent nanosensors are being developed for monitoring important disease states such as hyponatremia and diabetes. However, traditional optode-based sensors are composed of nonbiodegradable polymers such as poly(vinyl chloride) (PVC) raising toxicity concerns for long-term in vivo use. Here, we report the development of the first biodegradable optode-based nanosensors that maintain sensing characteristics similar to those of traditional optode sensors. The polymer matrix of these sensors is composed of polycaprolactone (PCL) and a citric acid ester plasticizer. The PCL-based nanosensors yielded a dynamic and reversible response to sodium, were tuned to respond to extracellular sodium concentrations, and had a lifetime of at least 14 days at physiological temperature. When in the presence of lipase, the nanosensors degraded within 4 h at lipase concentrations found in the liver but were present after 3 days at lipase concentrations found in serum. The development of biodegradable nanosensors is not only a positive step towards their future use in in vivo applications, but they also represent a new sensor platform that can be extended to other sensing mechanisms.

Indexed as

Biocompatible MaterialsBiosensing TechniquesCitric AcidHumansLipaseNanostructuresPlasticizersPolyestersPseudomonasSodiumBiocompatible MaterialsCitric AcidLipasePlasticizerspolycaprolactonePolyestersSodium

Identifiers

PMID22725692
PMCPMC3683867
OpenAlexW2095512252

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.