Evidence map›Paper›PMID 36290982›Full record

ArticleBiosensors2022

Rapid Quantitative Detection of Live

Zhuosong Cao, Chenyu Li, Xiaobo Yang, Shang Wang, Xi Zhang, Chen Zhao, Bin Xue, Chao Gao, Hongrui Zhou, Yutong Yang and 4 more

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review of the detection of pathogenic Escherichia coli based-microchip technology.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2025
    Review
  2. Article
  3. FeBiosensors · 2023
    Article
  4. 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

14 authors at 2 institutions in 1 country.

Zhuosong CaoSchool of Environmental and Chemical Engineering, Xi'an Polytechnic University, Xi'an 710600, China.
Chenyu LiTianjin Institute of Environmental Medicine and Operational Medicine, Tianjin 300050, China.ORCID 0000-0001-8028-6691
Xiaobo YangTianjin Institute of Environmental Medicine and Operational Medicine, Tianjin 300050, China.
Shang WangTianjin Institute of Environmental Medicine and Operational Medicine, Tianjin 300050, China.
Xi ZhangTianjin Institute of Environmental Medicine and Operational Medicine, Tianjin 300050, China.
Chen ZhaoTianjin Institute of Environmental Medicine and Operational Medicine, Tianjin 300050, China.
Bin XueTianjin Institute of Environmental Medicine and Operational Medicine, Tianjin 300050, China.
Chao GaoTianjin Institute of Environmental Medicine and Operational Medicine, Tianjin 300050, China.
Hongrui ZhouTianjin Institute of Environmental Medicine and Operational Medicine, Tianjin 300050, China.
Yutong YangTianjin Institute of Environmental Medicine and Operational Medicine, Tianjin 300050, China.
Zhiqiang ShenTianjin Institute of Environmental Medicine and Operational Medicine, Tianjin 300050, China.
Feilong SunSchool of Environmental and Chemical Engineering, Xi'an Polytechnic University, Xi'an 710600, China.ORCID 0000-0001-8829-432X
Jingfeng WangTianjin Institute of Environmental Medicine and Operational Medicine, Tianjin 300050, China.
Zhigang QiuTianjin Institute of Environmental Medicine and Operational Medicine, Tianjin 300050, China.ORCID 0000-0003-1199-3397
Tianjin Hospital · CNXi'an Polytechnic University · CN

Funding

National Key R&D Program of China 2018YFD0800104Special Fund of China 2019-JCJQ-JJ-163Special Fund of China AWS18J004Xi'an Polytechnic University Graduate Innovation Fund Project CHX2020026
6 · The paper itself

Abstract

The rapid quantitative detection of Escherichia coli (E. coli) is of great significance for evaluating water and food safety. At present, the conventional bacteria detection methods cannot meet the requirements of rapid detection in water environments. Herein, we report a method based on chronoamperometry to rapidly and quantitatively detect live E. coli. In this study, the current indicator i0 and the electricity indicator A were used to record the cumulative effect of bacteria on an unmodified glassy carbon electrode (GCE) surface during chronoamperometric detection. Through the analysis of influencing factors and morphological characterization, it was proved that the changes of the two set electrochemical indicator signals had a good correlation with the concentration of E. coli; detection time was less than 5 min, the detection range of E. coli was 104−108 CFU/mL, and the error range was <30%. The results of parallel experiments and spiking experiments showed that this method had good repeatability, stability, and sensitivity. Humic acid and dead cells did not affect the detection results. This study not only developed a rapid quantitative detection method for E. coli in the laboratory, but also realized a bacterial detection scheme based on the theory of bacterial dissolution and adsorption for the first time, providing a new direction and theoretical basis for the development of electrochemical biosensors in the future.

Indexed as

Biosensing TechniquesEscherichia coli InfectionsCarbonElectrochemical TechniquesEscherichia coliHumansHumic SubstancesWaterCarbonHumic SubstancesWaterchronoamperometryelectrochemical biosensorsEscherichia coliglassy carbon electrodelabel-free quantitative detection

Identifiers

PMID36290982
PMCPMC9599875
OpenAlexW4303685368

What OpenQuestion holds

Textmetadata
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.