Evidence map›Paper›PMID 35076739›Full record

ArticleApplied microbiology and biotechnology2022

Real-time metabolic heat-based specific growth rate soft sensor for monitoring and control of high molecular weight hyaluronic acid production by Streptococcus zooepidemicus.

Naresh Mohan, Satya Sai Pavan, Anjali Jayakumar, Sivakumar Rathinavelu, Senthilkumar Sivaprakasam

Abstract read
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In one paragraph

Article in Applied microbiology and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Efficient biosynthesis of exopolysaccharide inFrontiers in bioengineering and biotechnology · 2022
    Article
  3. 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

5 authors at 1 institution in 1 country.

Naresh MohanBioPAT Laboratory, Department of Biosciences & Bioengineering, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India.
Satya Sai PavanBioPAT Laboratory, Department of Biosciences & Bioengineering, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India.
Anjali JayakumarBioPAT Laboratory, Department of Biosciences & Bioengineering, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India.
Sivakumar RathinaveluBioPAT Laboratory, Department of Biosciences & Bioengineering, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India.
Senthilkumar SivaprakasamBioPAT Laboratory, Department of Biosciences & Bioengineering, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India. senthilkumar@iitg.ernet.in.ORCID http://orcid.org/0000-0001-6064-9061
Indian Institute of Technology Guwahati · IN

Funding

Department of Biotechnology, Government of West Bengal BT/PR5789/PID/6/680/2012
6 · The paper itself

Abstract

This present investigation addressing the metabolic bottleneck in synthesis of high MW HA by Streptococcus zooepidemicus and illustrates the application of calorimetric fed-batch control of µ at a narrower range. Feedforward (FF) and feedback (FB) control was devised to improve the molecular weight (MW) of HA production by S. zooepidemicus. Metabolic heat measurements (Fermentation calorimetry) were modeled to decipher real-time specific growth rate, [Formula: see text] was looped into the PID circuit, envisaged to control [Formula: see text] to their desired setpoint values 0.05 [Formula: see text], 0.1 [Formula: see text], and 0.15 [Formula: see text] respectively. Similarly, a predetermined exponential feed rate irrespective of real-time µ was carried out in FF strategy. The developed FB strategy established a robust control capable of maintaining the specific growth rate (µ) close to the [Formula: see text] value with a minimal tracking error. Exponential feed rate carried out with a lowest [Formula: see text] of 0.05 [Formula: see text] showed an improved MW of HA to 2.98 MDa and 2.94 MDa for the FF and FB-based control strategies respectively. An optimal HA titer of 4.73 g/L was achieved in FF control strategy at [Formula: see text]. Superior control of µ at low [Formula: see text] value was observed to influence HA polymerization positively by yielding an improved MW and desired polydispersity index (PDI) of HA. PID control offers advantage over conventional fed-batch method to synthesize HA at an improved MW. Calorimetric signal-based µ control by PID negates adverse effects due to the secretion of other end products albeit maintaining regular metabolic activities. KEY POINTS: First report to compare HA productivities by feedforward and feedback control strategy. Inherent merits of regulating µ at narrower range were entailed. Relationship between operating µ and HA molecular weight was discussed.

Indexed as

Streptococcus equiFermentationHot TemperatureHyaluronic AcidMolecular WeightHyaluronic AcidCalorimetryHyaluronic acidPID controlSpecific growth rate estimatorS. zooepidemicus

Identifiers

PMID35076739
OpenAlexW4210604588

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.