Evidence map›Paper›PMID 33244684›Full record

ReviewAnalytical and bioanalytical chemistry2021

Microfluidic and mathematical modeling of aquatic microbial communities.

Fangchen Liu, Andrea Giometto, Mingming Wu

Abstract readReview
In one paragraph

Review in Analytical and bioanalytical chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

3 authors.

Fangchen LiuDepartment of Biological and Environmental Engineering, Cornell University, Ithaca, NY, 14853, USA.
Andrea GiomettoSchool of Civil and Environmental Engineering, Cornell University, Ithaca, NY, 14853, USA.
Mingming WuDepartment of Biological and Environmental Engineering, Cornell University, Ithaca, NY, 14853, USA. mw272@cornell.edu.

Funding

Microfluidic platform for tumor cell invasionR01CA221346 · NCI · CORNELL UNIVERSITY · PI Mingming Wu · 2017 to 2026
$3.4M
Cornell Atkinson Center for Sustainability Academic Ventuer FundNCI NIH HHS R01 CA221346USDA National Institute of Food and Agriculture AFRI project [2016-08830]
6 · The paper itself

Abstract

Aquatic microbial communities contribute fundamentally to biogeochemical transformations in natural ecosystems, and disruption of these communities can lead to ecological disasters such as harmful algal blooms. Microbial communities are highly dynamic, and their composition and function are tightly controlled by the biophysical (e.g., light, fluid flow, and temperature) and biochemical (e.g., chemical gradients and cell concentration) parameters of the surrounding environment. Due to the large number of environmental factors involved, a systematic understanding of the microbial community-environment interactions is lacking. In this article, we show that microfluidic platforms present a unique opportunity to recreate well-defined environmental factors in a laboratory setting in a high throughput way, enabling quantitative studies of microbial communities that are amenable to theoretical modeling. The focus of this article is on aquatic microbial communities, but the microfluidic and mathematical models discussed here can be readily applied to investigate other microbiomes.

Indexed as

Harmful Algal BloomMicrobiotaPhytoplanktonEcosystemEquipment DesignMicrofluidic Analytical TechniquesModels, BiologicalAlgal bloomMathematical modelingMicrobial communityMicrofluidicsPhytoplankton

Identifiers

PMID33244684
PMCPMC7990691

What OpenQuestion holds

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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.