Evidence map›Paper›PMID 38647810›Full record

ArticleBioresources and bioprocessing2024

Dynamic immobilization of bacterial cells on biofilm in a polyester nonwoven chemostat.

Chao-Lei Zhang, Chao Wang, Yue-Sheng Dong, Ya-Qin Sun, Zhi-Long Xiu

Abstract read
In one paragraph

Article in Bioresources and bioprocessing, 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

5 authors.

Chao-Lei ZhangSchool of Life Science and Biotechnology, Dalian University of Technology, Dalian, 116024, People's Republic of China.
Chao WangSchool of Environmental Science and Engineering, Sun Yat-Sen University, Guangzhou, 510006, People's Republic of China.
Yue-Sheng DongSchool of Life Science and Biotechnology, Dalian University of Technology, Dalian, 116024, People's Republic of China.
Ya-Qin SunSchool of Life Science and Biotechnology, Dalian University of Technology, Dalian, 116024, People's Republic of China.
Zhi-Long XiuSchool of Life Science and Biotechnology, Dalian University of Technology, Dalian, 116024, People's Republic of China. zhlxiu@dlut.edu.cn.

Funding

National Key R&D Program of China 2022YFA0911804National Key R&D Program of China No. 2022YFA0911802
6 · The paper itself

Abstract

Cell immobilization plays an important role in biocatalysis for high-value products. It is necessary to maintain the viability of immobilized cells for bioconversion using viable cells as biocatalysts. In this study, a novel polyester nonwoven chemostat was designed for cell immobilization to investigate biofilm formation and the dynamic balance between adsorption and desorption of cells on polyester nonwoven. The polyester nonwoven was suitable for cell immobilization, and the cell numbers on the polyester nonwoven can reach 6.5 ± 0.38 log CFU/mL. After adding the polyester nonwoven to the chemostat, the fluctuation phenomenon of free bacterial cells occurred. The reason for this phenomenon was the balance between adsorption and desorption of bacterial cells on the polyester nonwoven. Bacterial cells could adhere to the surface of polyester nonwoven via secreting extracellular polymeric substances (EPS) to form biofilms. As the maturation of biofilms, some dead cells inside the biofilms can cause the detachment of biofilms. This process of continuous adsorption and desorption of cells can ensure that the polyester nonwoven chemostat has lasting biological activity.

Indexed as

Adsorption/desorptionBiofilmCell immobilizationExtracellular polymeric substances

Identifiers

PMID38647810
PMCPMC10992621

What OpenQuestion holds

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Registered trials

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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.