Evidence map›Paper›PMID 34356713›Full record

ArticleBiosensors2021

Novel Portable Sensing System with Integrated Multifunctionality for Accurate Detection of Salivary Uric Acid.

Ziqi Liu, Yiyin Chen, Meng Zhang, Tiancheng Sun, Keer Li, Songjia Han, Hui-Jiuan Chen

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 33% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Label-Free Metal-Oxide Transistor Biosensors for Metabolite Detection in Human Saliva.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  4. Review
  5. Article
  6. 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

7 authors at 1 institution in 1 country.

Ziqi LiuSchool of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China.
Yiyin ChenSchool of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China.ORCID 0000-0002-2621-7705
Meng ZhangSchool of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China.
Tiancheng SunSchool of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China.
Keer LiSchool of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China.
Songjia HanSchool of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China.
Hui-Jiuan ChenSchool of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China.
Sun Yat-sen University · CN

Funding

China Postdoctoral Science Foundation 2020M683047, 2020M683044Guangdong Basic and Applied Basic Research Foundation 2019A1515012087, 2020A1515110157, 2021A1515011937National Natural Science Foundation of China 61901535Science and Technology Program of Guangzhou, China 202102080192
6 · The paper itself

Abstract

Uric acid, as the terminal product of purine metabolism in the body, is an important marker of many diseases. Uric acid is abundant in saliva, offering the possibility of its non-invasive detection. However, it is sensitive to interference in saliva by a variety of factors. A reliable method of processing saliva is centrifugation (CF), but the cost and size of equipment limit its use in everyday life. In this study, a novel portable salivary-sensing system (PSSS) with integrated suction filtration (SF) and temperature insulation was proposed to obtain more accurate salivary uric acid levels through a simple procedure. The PSSS includes a saliva container, a high-sensitive uric acid sensor (UAS), an accompanying printed circuit board (PCB), and a mobile application. The responses produced by the UAS presents excellent linearity (4.6 μA/mM with R

Indexed as

Biosensing TechniquesUric AcidBiomarkersHumansReproducibility of ResultsSalivaBiomarkersUric Acidaccurate detection of salivaportable salivary sensingsuction filtrationtemperature compensationuric acid sensor

Identifiers

PMID34356713
PMCPMC8301860
OpenAlexW3184114323

What OpenQuestion holds

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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.