Evidence map›Paper›PMID 36013884›Full record

ArticleMaterials (Basel, Switzerland)2022

Preparatory Conditions Optimization and Characterization of Hierarchical Porous Carbon from Seaweed as Carbon-Precursor Using a Box-Behnken Design for Application of Supercapacitor.

Wein-Duo Yang, Jing-Xuan Wang, Yu-Tse Wu, Hsun-Shuo Chang, Horng-Huey Ko

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Wein-Duo YangDepartment of Chemical and Materials Engineering, National Kaohsiung University of Science and Technology, Kaohsiung City 807, Taiwan.
Jing-Xuan WangDepartment of Chemical and Materials Engineering, National Kaohsiung University of Science and Technology, Kaohsiung City 807, Taiwan.
Yu-Tse WuSchool of Pharmacy, College of Pharmacy, Kaohsiung Medical University, Kaohsiung City 807, Taiwan.ORCID 0000-0002-5731-2107
Hsun-Shuo ChangSchool of Pharmacy, College of Pharmacy, Kaohsiung Medical University, Kaohsiung City 807, Taiwan.ORCID 0000-0003-2745-139X
Horng-Huey KoSchool of Pharmacy, College of Pharmacy, Kaohsiung Medical University, Kaohsiung City 807, Taiwan.ORCID 0000-0003-4203-0200

Funding

Ministry of Science and Technology 109-2622-E-992-005-CC3National Kaohsiung University of Science and Technology and Kaohsiung Medical Uni-versity 110KK025
6 · The paper itself

Abstract

This study has developed an environmentally friendly, simple, and economical process by utilizing seaweed as a carbon precursor to prepare a hierarchical porous carbon for the application of a supercapacitor. In the carbonization process, the design of experiment (DOE) technology is used to obtain the optimal preparatory conditions with the best electrochemical properties for the electrode materials of supercapacitors. Without using strong acid and alkali solution of the green process, NaCl is used as the pore structure proppant of seaweed (SW) for carbonization to obtain hierarchical porous carbon material to improve the pore size distribution and surface area of the material. In the experiment of SW activation, the interaction between factors has been explored by the response surface methodology (RSM) and Box-Behnken design, and the optimal conditions are found. The activated carbon with the specific surface area of 603.7 m

Indexed as

Box–Behnken designhierarchicalporous activated carbonseaweed

Identifiers

PMID36013884
PMCPMC9416258

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.