Evidence map›Paper›PMID 32429895›Full record

ArticleBMC plant biology2020

Optimization of salicylic acid and chitosan treatment for bitter secoiridoid and xanthone glycosides production in shoot cultures of Swertia paniculata using response surface methodology and artificial neural network.

Prabhjot Kaur, R C Gupta, Abhijit Dey, Tabarak Malik, Devendra Kumar Pandey

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 62 citations in OpenAlex.

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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 4 institutions in 3 countries.

Prabhjot KaurDepartment of Biotechnology, Lovely Faculty of Technology and Sciences, Lovely Professional University, Phagwara, Punjab, 144411, India.
R C GuptaDepartment of Botany, Punjabi University, Patiala, Punjab, 147002, India.
Abhijit DeyDepartment of Life Sciences, Presidency University, Kolkata, India. abhijit.dbs@presiuniv.ac.in.
Tabarak MalikDepartment of Biochemistry, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia. malikitrc@gmail.com.ORCID http://orcid.org/0000-0002-8332-7927
Devendra Kumar PandeyDepartment of Biotechnology, Lovely Faculty of Technology and Sciences, Lovely Professional University, Phagwara, Punjab, 144411, India. dkpandey1974@gmail.com.
Lovely Professional University · INPresidency University · INPunjabi University · INUniversity of Gondar · ET

Funding

Department of Biotechnology , Ministry of Science and Technology BT/PR-4548/INF/22/146/2012
6 · The paper itself

Abstract

backgroundIn this study, response surface methodology (RSM) and artificial neural network (ANN) was used to construct the predicted models of linear, quadratic and interactive effects of two independent variables viz. salicylic acid (SA) and chitosan (CS) for the production of amarogentin (I), swertiamarin (II) and mangiferin (III) from shoot cultures of Swertia paniculata Wall. These compounds are the major therapeutic metabolites in the Swertia plant, which have significant role and demand in the pharmaceutical industries.

resultsPresent study highlighted that different concentrations of SA and CS elicitors substantially influenced the % yield of (I), (II) and (III) compounds in the shoot culture established on modified ½ MS medium (supplemented with 2.22 mM each of BA and KN and 2.54 mM NAA). In RSM, different response variables with linear, quadratic and 2 way interaction model were computed with five-factor-three level full factorial CCD. In ANN modelling, 13 runs of CCD matrix was divided into 3 subsets, with approximate 8:1:1 ratios to train, validate and test. The optimal enhancement of (I) (0.435%), (II) (4.987%) and (III) (4.357%) production was achieved in 14 days treatment in shoot cultures of S. paniculata elicited by 9 mM and 12 mg L

conclusionsIn optimization study, (I) show 0.170-0.435%; (II) display 1.020-4.987% and (III) upto 2.550-4.357% disparity with varied range of SA (1-20 mM) and CS (1-20 mg L

Indexed as

ChitosanGlycosidesIridoid GlucosidesIridoidsNeural Networks, ComputerPyronesSalicylic AcidSwertiaXanthonesamarogentinChitosanGlycosidesIridoid GlucosidesIridoidsmangiferinPyronesSalicylic AcidswertiamarinXanthonesArtificial neural networkElicitorsMangiferinResponse surface methodologySecoiridoidsSwertia

Identifiers

PMID32429895
PMCPMC7238632
OpenAlexW3026041970

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.