Evidence map›Paper›PMID 37103390›Full record

ArticleMarine drugs2023

Harvesting

Nadzirul Zamri, Nurul Nabila Suleiman, Norsyaqira Mohd Johar, Nur Syahidah Mohd Noor, Wei Lun Ang, Nazlina Haiza Mohd Yasin, Yusuf Nazir, Aidil Abdul Hamid

Open access · goldAbstract read
In one paragraph

Article in Marine drugs, 2023. 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
0.4field-weighted citation impact, top 51% of its field
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, 6 citations in OpenAlex.

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

8 authors at 1 institution in 1 country.

Nadzirul ZamriDepartment of Biological Sciences & Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia.
Nurul Nabila SuleimanDepartment of Biological Sciences & Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia.
Norsyaqira Mohd JoharDepartment of Biological Sciences & Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia.
Nur Syahidah Mohd NoorDepartment of Biological Sciences & Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia.
Wei Lun AngDepartment of Chemical and Process Engineering, Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia.ORCID 0000-0002-4946-6798
Nazlina Haiza Mohd YasinDepartment of Biological Sciences & Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia.
Yusuf NazirDepartment of Food Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia.
Aidil Abdul HamidDepartment of Biological Sciences & Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia.
National University of Malaysia · MY

Funding

Ministry of Education FRGS/1/2022/STG01/UKM/01/3
6 · The paper itself

Abstract

The use of chitosan as a flocculant has become a topic of interest over the years due to its positively charged polymer and biodegradable and non-toxic properties. However, most studies only focus on microalgae and wastewater treatment. This study provides crucial insight into the potential of using chitosan as an organic flocculant to harvest lipids and docosahexaenoic acid (DHA-rich

Indexed as

ChitosanMicroalgaeBiomassFlocculationPolymersChitosanPolymersbiomass harvestingchitosanflocculationthraustochytridszeta potential

Identifiers

PMID37103390
PMCPMC10143672
OpenAlexW4366588622

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.