Evidence map›Paper›PMID 35207080›Full record

ArticleMembranes2022

ZIF-8 Nanoparticles Based Electrochemical Sensor for Non-Enzymatic Creatinine Detection.

Titisha Chakraborty, Munmun Das, Chan-Yu Lin, Yen Su, Bing Yuan, Chyuan-Haur Kao

Open access · goldAbstract read
In one paragraph

Article in Membranes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.0field-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

4 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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 at 3 institutions in 1 country.

Titisha ChakrabortyDepartment of Electronic Engineering, Chang Gung University, 259 Wenhwa 1st Road, Guishan District, Taoyuan 33302, Taiwan.
Munmun DasDepartment of Electronic Engineering, Chang Gung University, 259 Wenhwa 1st Road, Guishan District, Taoyuan 33302, Taiwan.
Chan-Yu LinKidney Research Center, Department of Nephrology, Chang Gung Memorial Hospital, No.5, Fuxing St., Guishan District, Taoyuan 33302, Taiwan.
Yen SuDepartment of Electronic Engineering, Chang Gung University, 259 Wenhwa 1st Road, Guishan District, Taoyuan 33302, Taiwan.
Bing YuanDepartment of Electronic Engineering, Chang Gung University, 259 Wenhwa 1st Road, Guishan District, Taoyuan 33302, Taiwan.
Chyuan-Haur KaoDepartment of Electronic Engineering, Chang Gung University, 259 Wenhwa 1st Road, Guishan District, Taoyuan 33302, Taiwan.ORCID 0000-0002-4758-4504
Chang Gung University · TWChang Gung Memorial Hospital · TWMing Chi University of Technology · TW

Funding

Chang Gung Medical Foundation CMRPD2J0092, CMRPD2H0182, and BMRPA00Ministry of Science and Technology MOST 110-2221-E-182-032
6 · The paper itself

Abstract

There is a consistent demand for developing highly sensitive, stable, cost-effective, and easy-to-fabricate creatinine sensors as creatinine is a reliable indicator of kidney and muscle-related disorders. Herein, we reported a highly sensitive and selective non-enzymatic electrochemical creatinine sensor via modifying poly(3,4 ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) coated indium tin oxide (ITO) substrate by zeolitic imidazolate framework-8 nanoparticles (ZIF-8 NPs). The topography, crystallinity, and composition of the sensing electrode were characterized by field emission scanning electron microscopy (FESEM), atomic force microscopy (AFM), X-ray diffraction (XRD), and X-ray photoelectron spectroscopy (XPS). The peroxidase-like activity of ZIF-8 nanoparticles enabled it to detect creatinine forming a zinc-creatinine composite. The electrochemical behavior and sensing performance were evaluated by amperometric and impedimetric analysis. The sensor obtained a sufficiently low limit of detection (LOD) of 30 µM in a clinically acceptable linear range (0.05 mM-2.5 mM). The interference study demonstrated high selectivity of the sensor for creatinine concerning other similar biomolecules. The sensing performance of the creatinine sensor was verified in the actual human serum, which showed excellent recovery rates. Hence, the magnificent performance of ZIF-8 based non-enzymatic creatinine sensor validated it as a responsible entity for other complicated renal markers detection.

Indexed as

creatininecreatinine-Zn compositenon-enzymaticsensorZIF-8 NPs

Identifiers

PMID35207080
PMCPMC8878344
OpenAlexW4214487345

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.