Evidence map›Paper›PMID 35559073›Full record

ArticleRSC advances2018

Effect of hydrothermal carbonization on dewatering performance of dyeing sludge.

Zhenjia Xu, Jun Zhou, Yongdi Liu, Lifeng Gu, Xujun Wu, Xueying Zhang

Abstract 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 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. Protein extraction from excess sludge by alkali-thermal hydrolysis.Environmental science and pollution research international · 2020
    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

6 authors.

Zhenjia XuCollege of Environmental Sciences and Engineering, Nanjing Tech University Nanjing 211816 China xueyingzhang@njtech.edu.cn +86-25-58139929.
Jun ZhouCollege of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University Nanjing 211816 China.
Yongdi LiuCollege of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University Nanjing 211816 China.
Lifeng GuZhejiang Heze Environmental Technology Co., Ltd. Changxing China.
Xujun WuZhejiang Heze Environmental Technology Co., Ltd. Changxing China.
Xueying ZhangCollege of Environmental Sciences and Engineering, Nanjing Tech University Nanjing 211816 China xueyingzhang@njtech.edu.cn +86-25-58139929.ORCID https://orcid.org/0000-0002-9582-2511

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The effects of hydrothermal carbonization (hydrothermal carbonization temperature, hydrothermal carbonization time, pH) on the dehydration performance of dyeing sludge were studied. The specific resistance, viscosity and floccular morphology of sludge before and after hydrothermal carbonization were analyzed. The physical and chemical properties of the liquid were also determined. The results showed that the dehydration performance of sludge was optimum, when the reaction temperature was 180 °C, the reaction time 4 h and the pH was 5.0. Here the specific resistance to filtration and viscosity were 93.69% and 96.78% lower, respectively, than the control group. When the sludge was hydrothermally carbonized, the sludge flocs were broken due to extreme conditions of high temperature and high pressure, which formed a porous mesh structure with better water permeability. The cohesion of the sludge colloidal structure was reduced, the capillary suction time was reduced by 88.89%, and the sludge dewatering performance was improved. This study shows the feasibility of the use of hydrothermal carbonization in sludge reduction.

Identifiers

PMID35559073
PMCPMC9090618

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.