Evidence map›Paper›PMID 36013320›Full record

ArticleLife (Basel, Switzerland)2022

Ultrasensitive and Selective Detection of Glutathione by Ammonium Carbamate-Gold Platinum Nanoparticles-Based Electrochemical Sensor.

Wei Wang, Jiandan Chen, Zhenzeng Zhou, Shanshan Zhan, Zhiyuan Xing, Hongying Liu, Linan Zhang

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
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

7 authors.

Wei WangDepartment of Automation, Hangzhou Dianzi University, Hangzhou 310018, China.
Jiandan ChenDepartment of Automation, Hangzhou Dianzi University, Hangzhou 310018, China.
Zhenzeng ZhouDepartment of Automation, Hangzhou Dianzi University, Hangzhou 310018, China.
Shanshan ZhanDepartment of Automation, Hangzhou Dianzi University, Hangzhou 310018, China.
Zhiyuan XingDepartment of Automation, Hangzhou Dianzi University, Hangzhou 310018, China.
Hongying LiuDepartment of Automation, Hangzhou Dianzi University, Hangzhou 310018, China.ORCID 0000-0002-4186-2657
Linan ZhangDepartment of Automation, Hangzhou Dianzi University, Hangzhou 310018, China.

Funding

The Science and Technology Program of Zhejiang Province LGF22H200012
6 · The paper itself

Abstract

Determining the concentration of glutathione is crucial for developing workable medical diagnostic strategies. In this paper, we developed an electrochemical sensor by electrodepositing amino-based reactive groups and gold-platinum nanomaterials on the surface of glassy carbon electrode successively. The sensor was characterized by cyclic voltammetry (CV), field emission scanning electron microscope (FESEM), energy dispersive X-ray spectroscopy (EDX), and electrochemical impedance spectra (EIS). Results showed that Au@Pt nanoparticles with the size of 20-40 nm were presented on the surface of electrode. The sensor exhibits excellent electrocatalytic oxidation towards glutathione. Based on this, we devised an electrochemical biosensor for rapid and sensitive detection of glutathione. After optimizing experimental and operational conditions, a linear response for the concentration of GSH, in the range of 0.1-11 μmol/L, with low detection and quantification limits of 0.051 μM (S/N = 3), were obtained. The sensor also exhibits superior selectivity, reproducibility, low cost, as well as simple preparation and can be applied in human serum sample detection.

Indexed as

ammonium carbamate modified electrodeAu@Pt nanoparticleelectrochemicalglutathionesensor

Identifiers

PMID36013320
PMCPMC9410014

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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.