Evidence map›Paper›PMID 31336821›Full record

ArticleBiomolecules2019

High-Throughput Screening of

Marwa Gamal Saad, Noura Sayed Dosoky, Muhammad Shuja Khan, Mohamed Shafick Zoromba, Laila Mekki, Magdy El-Bana, David Nobles, Hesham Mohamed Shafik

Abstract read
In one paragraph

Article in Biomolecules, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Impacts of Endocrine Disruptor di-Molecules (Basel, Switzerland) · 2020
    Article
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.

Marwa Gamal SaadDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA. marwa.aly@sci.psu.edu.eg.
Noura Sayed DosokyDepartment of Chemistry, University of Alabama in Huntsville, Huntsville, AL 35899, USA. nouradosoky@gmail.com.ORCID 0000-0002-4434-9146
Muhammad Shuja KhanDepartment of Electrical and Computer Engineering, University of Alabama in Huntsville, Huntsville, AL 35899, USA.ORCID 0000-0002-6232-2633
Mohamed Shafick ZorombaChemical and Materials Engineering Department, King Abdulaziz University, Rabigh 21911, Saudi Arabia.
Laila MekkiDepartment of Botany, Faculty of Science, Suez Canal University, Ismailia, Egypt.
Magdy El-BanaDepartment of Botany, Faculty of Science, Port Said University, Port Said 42521, Egypt.
David NoblesUTEX Culture Collection of Algae, College of Natural Sciences, University of Texas at Austin, Austin, TX 78712, USA.
Hesham Mohamed ShafikDepartment of Botany, Faculty of Science, Port Said University, Port Said 42521, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biodiesel is an eco-friendly renewable fuel that can be derived from microalgae. Maximization of biomass and lipid productivities are considered the main challenges for algal biodiesel production. Since conventional batch cultures are time-, space-, and reagent-consuming with many restrictions to apply many replicates, microfluidic technology has recently emerged as an alternative low-cost and efficient technology with high throughput repeatability and reproducibility. Different applications of microfluidic devices in algal biotechnology have been reported, including cell identification, sorting, trapping, and metabolic screening. In this work,

Indexed as

Lab-On-A-Chip DevicesBiomassBiotechnologyChlorella vulgarisKineticsNitratesNitratesbiodieselbiomass productivityChlorella vulgarisconventional batch culturesdroplet-based microfluidic devicelightnitrate

Identifiers

PMID31336821
PMCPMC6681396

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.