Evidence map›Paper›PMID 27055271›Full record

ArticlePloS one2016

High-Fidelity Modelling Methodology of Light-Limited Photosynthetic Production in Microalgae.

Andrea Bernardi, Andreas Nikolaou, Andrea Meneghesso, Tomas Morosinotto, Benoît Chachuat, Fabrizio Bezzo

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Andrea BernardiCAPE-Lab (Computer-Aided Process Engineering Laboratory) and PAR-Lab (Padova Algae Research Laboratory), Department of Industrial Engineering, University of Padova, Padova, Italy.
Andreas NikolaouCentre for Process Systems Engineering, Department of Chemical Engineering, Imperial College London, London, United Kingdom.
Andrea MeneghessoPAR-Lab (Padova Algae Research Laboratory), Department of Biology, University of Padova, Padova, Italy.
Tomas MorosinottoPAR-Lab (Padova Algae Research Laboratory), Department of Biology, University of Padova, Padova, Italy.
Benoît ChachuatCentre for Process Systems Engineering, Department of Chemical Engineering, Imperial College London, London, United Kingdom.
Fabrizio BezzoCAPE-Lab (Computer-Aided Process Engineering Laboratory) and PAR-Lab (Padova Algae Research Laboratory), Department of Industrial Engineering, University of Padova, Padova, Italy.

Funding

European Research Council 309485
6 · The paper itself

Abstract

Reliable quantitative description of light-limited growth in microalgae is key to improving the design and operation of industrial production systems. This article shows how the capability to predict photosynthetic processes can benefit from a synergy between mathematical modelling and lab-scale experiments using systematic design of experiment techniques. A model of chlorophyll fluorescence developed by the authors [Nikolaou et al., J Biotechnol 194:91-99, 2015] is used as starting point, whereby the representation of non-photochemical-quenching (NPQ) process is refined for biological consistency. This model spans multiple time scales ranging from milliseconds to hours, thus calling for a combination of various experimental techniques in order to arrive at a sufficiently rich data set and determine statistically meaningful estimates for the model parameters. The methodology is demonstrated for the microalga Nannochloropsis gaditana by combining pulse amplitude modulation (PAM) fluorescence, photosynthesis rate and antenna size measurements. The results show that the calibrated model is capable of accurate quantitative predictions under a wide range of transient light conditions. Moreover, this work provides an experimental validation of the link between fluorescence and photosynthesis-irradiance (PI) curves which had been theoricized.

Indexed as

Models, BiologicalMicroalgaePhotosynthesisStramenopiles

Identifiers

PMID27055271
PMCPMC4824504

What OpenQuestion holds

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LicenceCC BY
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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.