Evidence map›Paper›PMID 35233695›Full record

ReviewAnalytical and bioanalytical chemistry2022

Recent advances of sensing strategies for the detection of β-glucuronidase activity.

Tong Li, Guoliang Li, Zhuoqun Su, Jianghua Liu, Panxue Wang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Analytical and bioanalytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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.

Tong LiSchool of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, China.
Guoliang LiSchool of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, China. 61254368@163.com.
Zhuoqun SuSchool of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, China.
Jianghua LiuSchool of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, China.
Panxue WangSchool of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, China.

Funding

National Natural Science Foundation of China 22076115National Natural Science Foundation of China 32022069
6 · The paper itself

Abstract

β-Glucuronidase (β-GLU), a kind of hydrolase, is widely distributed in mammalian tissues, body fluids, and microbiota. Abnormal changes of β-GLU activity are often correlated with the occurrence of diseases and deterioration of water quality. Therefore, detection of β-GLU activity is of great significance in biomedicine and environmental health such as cancer diagnosis and water monitoring. However, the conventional β-GLU activity assay suffers from the limitations of low sensitivity, poor accuracy, and complex procedure. With the development of analytical chemistry, many advances have been made in the detection of β-GLU activity in recent years. The sensors for β-GLU activity detection which have the advantages of rapid and reliable detection have been attracting increased attentions. In this paper, the principles, performances, and limitations of these β-GLU sensors, including colorimetric sensing, fluorescent sensing, electrochemical sensing for the determination of β-GLU activity, have been summarized and discussed. Moreover, the challenges and research trends of β-GLU activity assay are proposed.

Indexed as

GlucuronidaseWater QualityAnimalsColorimetryMammalsGlucuronidaseBiomarkerEscherichia coliMicrobiological quality of waterTumor diseasesβ-Glucuronidase activity

Identifiers

PMID35233695

What Socratic 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 Socratic graph.