Evidence map›Paper›PMID 35548829›Full record

ArticleRSC advances2018

A colorimetric biosensor based on enzyme-catalysis-induced production of inorganic nanoparticles for sensitive detection of glucose in white grape wine.

Huang Dai, Yuqing Li, Qi Zhang, Yingchun Fu, Yanbin Li

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2018. 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
0.7field-weighted citation impact, top 34% 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, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Emerging biosensors in detection of natural products.Synthetic and systems biotechnology · 2020
    Review
  4. Article
  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

5 authors at 1 institution in 2 countries.

Huang DaiCollege of Biosystems Engineering and Food Science, Zhejiang University Hangzhou 310058 China yanbinli@zju.edu.cn +86 571 88982530 +86 571 88982536.
Yuqing LiCollege of Biosystems Engineering and Food Science, Zhejiang University Hangzhou 310058 China yanbinli@zju.edu.cn +86 571 88982530 +86 571 88982536.
Qi ZhangCollege of Biosystems Engineering and Food Science, Zhejiang University Hangzhou 310058 China yanbinli@zju.edu.cn +86 571 88982530 +86 571 88982536.
Yingchun FuCollege of Biosystems Engineering and Food Science, Zhejiang University Hangzhou 310058 China yanbinli@zju.edu.cn +86 571 88982530 +86 571 88982536.
Yanbin LiCollege of Biosystems Engineering and Food Science, Zhejiang University Hangzhou 310058 China yanbinli@zju.edu.cn +86 571 88982530 +86 571 88982536.ORCID https://orcid.org/0000-0002-4142-7743
Hangzhou Xixi hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sensitive and selective colorimetric sensors have come into a high demand due to their simplicity, rapidity, precision and use of common laboratory instruments. In this study, as a new colorimetric nanoprobe, enzyme-catalysis-induced production of Prussian blue nanoparticles (PBNPs) was employed to develop a colorimetric biosensor which was simple and inexpensive for the rapid detection of glucose in wine. Briefly, glucose as the detection target was added into a solution of glucose oxidase (GOx), FeCl

Identifiers

PMID35548829
PMCPMC9086867
OpenAlexW2894793400

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.