Evidence map›Paper›PMID 31904100›Full record

ArticleEnvironmental science and pollution research international2020

Protein extraction from excess sludge by alkali-thermal hydrolysis.

Jianlei Gao, Yingchun Wang, Yixin Yan, Zheng Li, Manli Chen

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Article in Environmental science and pollution research international, 2020. 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
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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.

Jianlei GaoSchool of Water Conservancy Engineering, Zhengzhou University, Zhengzhou, 450001, China.
Yingchun WangSchool of Water Conservancy Engineering, Zhengzhou University, Zhengzhou, 450001, China.
Yixin YanSchool of Water Conservancy Engineering, Zhengzhou University, Zhengzhou, 450001, China. yxyan@zzu.edu.cn.ORCID http://orcid.org/0000-0002-2330-6550
Zheng LiZhengzhou University Multi-Functional Design and Research Academy Co, Zhengzhou, 450002, China.
Manli ChenZhengzhou University Multi-Functional Design and Research Academy Co, Zhengzhou, 450002, China.

Funding

Science and Technology Department of Henan Province 182102210194
6 · The paper itself

Abstract

The protein in excess sludge can be extracted effectively by the alkali-thermal method, and the extracted protein can be used as a foaming agent and in other industrial raw materials to realize its resource utilization. In this paper, the factors influencing sludge protein extraction by the alkali-thermal method were optimized based on the protein extraction rate and the polypeptide content, which determine the foaming performance of the extracted protein. The results showed that the optimal conditions were a pH of 12, a temperature of 120 °C, a reaction time of 4 h, and a sludge moisture content of 92%. Under these optimized conditions, the extraction rate of protein and the concentration of polypeptides were 88.3% and 6599 mg/L, respectively. Additionally, the foaming performance of the extracted protein solution was tested, and the foamability and foam stability were close to 450% and 88.8%, respectively. Therefore, the sludge protein extracted by the alkali-thermal method can meet the relevant standards of foam extinguishing agents and concrete foaming agents in China. In addition, the dewatering performance of the hydrolyzed sludge was improved by 93.1%, which provided favorable conditions for the subsequent separation of the protein solution.

Indexed as

AlkaliesChinaHydrolysisProteinsSewageWaste Disposal, FluidAlkaliesProteinsSewageAlkali-heat treatmentFoaming performancePolypeptideProtein solutionResidual sludgeSpecific resistance of sludge

Identifiers

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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.