Evidence map›Paper›PMID 39796977›Full record

ArticleSensors (Basel, Switzerland)2024

Development of Automatic Method for Glucose Detection Based on Platinum Octaethylporphyrin Sol-Gel Film with Long-Term Stability.

Yujie Niu, Yongda Wang, Lu Li, Xiyu Zhang, Ting Liu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Yujie NiuDepartment of Physics, Northeast Forestry University, Harbin 150040, China.
Yongda WangSchool of Instrumentation Science and Engineering, Harbin Institute of Technology, Harbin 150001, China.
Lu LiSchool of Physics, Harbin Institute of Technology, Harbin 150001, China.
Xiyu ZhangCollege of Physical Science and Technology, Heilongjiang University, Harbin 150080, China.
Ting LiuDepartment of Physics, Northeast Forestry University, Harbin 150040, China.

Funding

BASIC SCIENTIFIC RESEARCH FUND PROJECTS OF CENTRAL UNIVERSITY 2572021BC06
6 · The paper itself

Abstract

In this study, an approach has been proposed in response to the urgent need for a sensitive and stable method for glucose detection at low concentrations. Platinum octaethylporphyrin (PtOEP) was chosen as the probe and embedded into the matrix material to yield a glucose-sensing film, i.e., Pt/TE-MTS, through a sol-gel process. The optical parameter (OP) was defined as the ratio of phosphorescence in the absence and presence of glucose, and the relationship between OP and glucose concentration (GC) was established in a theoretical way based on the Stern-Volmer equation and further obtained by photoluminescence measurement. OP exhibited a linear relationship with GC in a range of 0-720 μM. The time required by the photoluminescence of the film to reach equilibrium was measured to ensure the completion of the reaction, and it was found that the equilibrium time decreased as the GC increased. The photobleaching behavior and stabilization of the film were monitored, and the result showed that the film exhibited excellent resistance to photobleaching and was quite stable in an aqueous solution. Additionally, a LabVIEW-based GC-detection system was developed to achieve the practical application of the sensing film. In summary, the Pt/TE-MTS film exhibited high sensitivity in detecting the GC with excellent reproducibility, which is of high value in applications.

Indexed as

aqueous solutionglucose concentration (GC)oxygen moleculephosphorescencePt/TE-MTS film

Identifiers

PMID39796977
PMCPMC11723115

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.