Evidence map›Paper›PMID 38825667›Full record

ArticleBioresources and bioprocessing2024

Produced water treatment by semi-continuous sequential bioreactor and microalgae photobioreactor.

Nur Farahah Mohd Khairuddin, Nadeem Khan, Saravanan Sankaran, Wasif Farooq, Irshad Ahmad, Isam H Aljundi

Erratum issuedAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioresources and bioprocessing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

6 authors.

Nur Farahah Mohd KhairuddinMembranes and Water Security IRC, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia. n.khairuddin@kfupm.edu.sa.ORCID http://orcid.org/0000-0001-6531-7453
Nadeem KhanMembranes and Water Security IRC, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia.
Saravanan SankaranBioengineering Department, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia.
Wasif FarooqMembranes and Water Security IRC, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia.
Irshad AhmadBioengineering Department, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia.
Isam H AljundiMembranes and Water Security IRC, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia.

Funding

King Fahd University of Petroleum and Minerals INMW2304
6 · The paper itself

Abstract

Produced water (PW) from oil and gas exploration adversely affects aquatic life and living organisms, necessitating treatment before discharge to meet effluent permissible limits. This study first used activated sludge to pretreat PW in a sequential batch reactor (SBR). The pretreated PW then entered a 13 L photobioreactor (PBR) containing Scenedesmus obliquus microalgae culture. Initially, 10% of the PW mixed with 90% microalgae culture in the PBR. After the exponential growth of the microalgae, an additional 25% of PW was added to the PBR without extra nutrients. This study reported the growth performance of microalgae in the PBR as well as the reduction in effluent's total organic carbon (TOC), total dissolved solids (TDS), electrical conductivity (EC), and heavy metals content. The results demonstrated removal efficiencies of 64% for TOC, 49.8% for TDS, and 49.1% for EC. The results also showed reductions in barium, iron, and manganese in the effluent by 95, 76, and 52%, respectively.

Indexed as

Activated sludgePhotobioreactorProduced waterScenedesmus obliquusSequential batch reactorWastewater treatment

Identifiers

PMID38825667
PMCPMC11144686

What OpenQuestion holds

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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.