Evidence map›Paper›PMID 39422792›Full record

ArticleMikrochimica acta2024

Detection of urea in milk by urease-inorganic hybrid nanoflowers combined with portable colorimetric microliter tube.

Yang Wan, Zhixin Xie, Ming Cao, Chi Zhang, Zhibiao Feng, Bo Tian, Zhenmin Liu

Abstract read
PubMed Publisher
In one paragraph

Article in Mikrochimica acta, 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

7 authors.

Yang WanState Key Laboratory of Dairy Biotechnology, Shanghai Engineering Research Center of Dairy Biotechnology, Dairy Research Institute, Bright Dairy & Food Co., Ltd., Shanghai, 200436, China.
Zhixin XieCollege of Food Science, Northeast Agricultural University, Harbin, 150030, China.
Ming CaoCollege of Food Science, Northeast Agricultural University, Harbin, 150030, China.
Chi ZhangState Key Laboratory of Dairy Biotechnology, Shanghai Engineering Research Center of Dairy Biotechnology, Dairy Research Institute, Bright Dairy & Food Co., Ltd., Shanghai, 200436, China.
Zhibiao FengDepartment of Chemistry, College of Arts and Sciences, Northeast Agricultural University, Harbin, 150030, China.
Bo TianCollege of Food Science, Northeast Agricultural University, Harbin, 150030, China. tianbo@neau.edu.cn.
Zhenmin LiuState Key Laboratory of Dairy Biotechnology, Shanghai Engineering Research Center of Dairy Biotechnology, Dairy Research Institute, Bright Dairy & Food Co., Ltd., Shanghai, 200436, China. liuzhenmin@brightdairy.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A simple one-pot green synthesis method was used to prepare urease-inorganic hybrid nanoflowers (UE-HNFs), which had a high surface-to-volume ratio to improve enzyme catalytic efficiency and make urease reusable. A portable colorimetric microliter tube based on urease-inorganic hybrid nanoflowers (UE-HNFs-PCMT), as an urea colorimetric biosensor, was developed for determining urea concentration in milk. The combination of urea colorimetric biosensor and a smartphone is used for capturing the colour change of milk after reaction. There was a good linear relationship between colour intensity of the image (Δ intensity) and urea concentration (43-600 mg L

Indexed as

Biosensing TechniquesColorimetryLimit of DetectionMilkNanostructuresUreaUreaseAnimalsEnzymes, ImmobilizedSmartphoneEnzymes, ImmobilizedUreaUreaseImageJMilk analysisPortable colorimetric microliter tubeSmartphoneUreaUrease-inorganic hybrid nanoflowers

Identifiers

What OpenQuestion holds

Textmetadata
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.