Evidence map›Paper›PMID 34603924›Full record

ArticleBiomass conversion and biorefinery2021

Integrated approach for enhanced bio-oil recovery from disposed face masks through co-hydrothermal liquefaction with

Li Li, Jin Huang, Adel W Almutairi, Xin Lan, Linling Zheng, Yuling Lin, Liudong Chen, Nanjie Fu, Zongren Lin, Abd El-Fatah Abomohra

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomass conversion and biorefinery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

10 authors.

Li LiDepartment of Environmental Engineering, School of Architecture and Civil Engineering, Chengdu University, Chengdu, 610106 China.
Jin HuangDepartment of Environmental Engineering, School of Architecture and Civil Engineering, Chengdu University, Chengdu, 610106 China.
Adel W AlmutairiBiological Sciences Department, Faculty of Science & Arts, King Abdulaziz University, Rabigh, Saudi Arabia.
Xin LanDepartment of Environmental Engineering, School of Architecture and Civil Engineering, Chengdu University, Chengdu, 610106 China.
Linling ZhengDepartment of Environmental Engineering, School of Architecture and Civil Engineering, Chengdu University, Chengdu, 610106 China.
Yuling LinDepartment of Environmental Engineering, School of Architecture and Civil Engineering, Chengdu University, Chengdu, 610106 China.
Liudong ChenDepartment of Environmental Engineering, School of Architecture and Civil Engineering, Chengdu University, Chengdu, 610106 China.
Nanjie FuDepartment of Environmental Engineering, School of Architecture and Civil Engineering, Chengdu University, Chengdu, 610106 China.
Zongren LinDepartment of Environmental Engineering, School of Architecture and Civil Engineering, Chengdu University, Chengdu, 610106 China.
Abd El-Fatah AbomohraDepartment of Environmental Engineering, School of Architecture and Civil Engineering, Chengdu University, Chengdu, 610106 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, the enormous generation of contaminated disposed face masks raises many environmental concerns. The present study provides a novel route for efficient crude bio-oil production from disposed masks through co-hydrothermal liquefaction (Co-HTL) with SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13399-021-01891-2.

Indexed as

BiofuelCOVID-19Medical wastesMicroalgaeWaste to energy

Identifiers

PMID34603924
PMCPMC8475824

What OpenQuestion 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 OpenQuestion graph.