Optimization of medium composition by response surface methodology for the production of tartaric acid by Gluconobacter suboxydans View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1998-10

AUTHORS

D. Mantha, Z. Aslam Basha, T. Panda

ABSTRACT

The combined effect of sorbitol and yeast extract of the medium on tartaric acid production by Gluconobacter suboxydans, NCIM 2049, was studied in batch fermentation while keeping the temperature (30 °C) and pH (6.2) constant. Response surface methodology was used to obtain quadratic models for the production of tartaric acid. The multiple coefficients of regression between 0.8945 and 0.9820 was obtained during the process. The optimum medium composition comprising 20 kg/m3 sorbitol and 2 kg/m3 yeast extract was verified experimentally by observing the variation of cell mass and tartaric acid production with time. More... »

PAGES

285-288

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/pl00009020

DOI

http://dx.doi.org/10.1007/pl00009020

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1023242337


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/10", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Technology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0903", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biomedical Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0904", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1003", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Industrial Biotechnology", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Biotechnology Research Centre,  Department of Chemical Engineering,  Indian Institute of Technology Madras,  Chennai 600 036, India, IN", 
          "id": "http://www.grid.ac/institutes/grid.417969.4", 
          "name": [
            "Biotechnology Research Centre,  Department of Chemical Engineering,  Indian Institute of Technology Madras,  Chennai 600 036, India, IN"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mantha", 
        "givenName": "D.", 
        "id": "sg:person.010126710075.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010126710075.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Biotechnology Research Centre,  Department of Chemical Engineering,  Indian Institute of Technology Madras,  Chennai 600 036, India, IN", 
          "id": "http://www.grid.ac/institutes/grid.417969.4", 
          "name": [
            "Biotechnology Research Centre,  Department of Chemical Engineering,  Indian Institute of Technology Madras,  Chennai 600 036, India, IN"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Aslam Basha", 
        "givenName": "Z.", 
        "id": "sg:person.011146550540.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011146550540.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Biotechnology Research Centre,  Department of Chemical Engineering,  Indian Institute of Technology Madras,  Chennai 600 036, India, IN", 
          "id": "http://www.grid.ac/institutes/grid.417969.4", 
          "name": [
            "Biotechnology Research Centre,  Department of Chemical Engineering,  Indian Institute of Technology Madras,  Chennai 600 036, India, IN"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Panda", 
        "givenName": "T.", 
        "id": "sg:person.01002553400.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01002553400.17"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "1998-10", 
    "datePublishedReg": "1998-10-01", 
    "description": "Abstract The combined effect of sorbitol and yeast extract of the medium on tartaric acid production by Gluconobacter suboxydans, NCIM 2049, was studied in batch fermentation while keeping the temperature (30\u200a\u00b0C) and pH (6.2) constant. Response surface methodology was used to obtain quadratic models for the production of tartaric acid. The multiple coefficients of regression between 0.8945 and 0.9820 was obtained during the process. The optimum medium composition comprising 20\u2009kg/m3 sorbitol and 2\u2009kg/m3 yeast extract was verified experimentally by observing the variation of cell mass and tartaric acid production with time.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/pl00009020", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1297453", 
        "issn": [
          "0178-515X", 
          "1432-0797"
        ], 
        "name": "Bioprocess and Biosystems Engineering", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "19"
      }
    ], 
    "keywords": [
      "response surface methodology", 
      "surface methodology", 
      "quadratic model", 
      "combined effect", 
      "tartaric acid production", 
      "batch fermentation", 
      "tartaric acid", 
      "acid production", 
      "temperature", 
      "methodology", 
      "multiple coefficients", 
      "coefficient", 
      "optimum medium composition", 
      "composition", 
      "m3", 
      "optimization", 
      "production", 
      "model", 
      "process", 
      "medium composition", 
      "effect", 
      "yeast extract", 
      "medium", 
      "fermentation", 
      "variation", 
      "mass", 
      "time", 
      "Abstract", 
      "sorbitol", 
      "acid", 
      "extracts", 
      "Gluconobacter suboxydans", 
      "suboxydans", 
      "regression", 
      "cell mass", 
      "NCIM 2049", 
      "m3 yeast extract"
    ], 
    "name": "Optimization of medium composition by response surface methodology for the production of tartaric acid by Gluconobacter suboxydans", 
    "pagination": "285-288", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1023242337"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/pl00009020"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/pl00009020", 
      "https://app.dimensions.ai/details/publication/pub.1023242337"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-01-01T18:07", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_276.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/pl00009020"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/pl00009020'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/pl00009020'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/pl00009020'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/pl00009020'


 

This table displays all metadata directly associated to this object as RDF triples.

121 TRIPLES      21 PREDICATES      66 URIs      55 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/pl00009020 schema:about anzsrc-for:09
2 anzsrc-for:0903
3 anzsrc-for:0904
4 anzsrc-for:10
5 anzsrc-for:1003
6 schema:author N78e079ba708e4d82a3e6a185adeadcbb
7 schema:datePublished 1998-10
8 schema:datePublishedReg 1998-10-01
9 schema:description Abstract The combined effect of sorbitol and yeast extract of the medium on tartaric acid production by Gluconobacter suboxydans, NCIM 2049, was studied in batch fermentation while keeping the temperature (30 °C) and pH (6.2) constant. Response surface methodology was used to obtain quadratic models for the production of tartaric acid. The multiple coefficients of regression between 0.8945 and 0.9820 was obtained during the process. The optimum medium composition comprising 20 kg/m3 sorbitol and 2 kg/m3 yeast extract was verified experimentally by observing the variation of cell mass and tartaric acid production with time.
10 schema:genre article
11 schema:inLanguage en
12 schema:isAccessibleForFree false
13 schema:isPartOf N2d861e147acb46d2b846b85405b40c11
14 Nc2e7314beee44b21b51f084bb6ad52ba
15 sg:journal.1297453
16 schema:keywords Abstract
17 Gluconobacter suboxydans
18 NCIM 2049
19 acid
20 acid production
21 batch fermentation
22 cell mass
23 coefficient
24 combined effect
25 composition
26 effect
27 extracts
28 fermentation
29 m3
30 m3 yeast extract
31 mass
32 medium
33 medium composition
34 methodology
35 model
36 multiple coefficients
37 optimization
38 optimum medium composition
39 process
40 production
41 quadratic model
42 regression
43 response surface methodology
44 sorbitol
45 suboxydans
46 surface methodology
47 tartaric acid
48 tartaric acid production
49 temperature
50 time
51 variation
52 yeast extract
53 schema:name Optimization of medium composition by response surface methodology for the production of tartaric acid by Gluconobacter suboxydans
54 schema:pagination 285-288
55 schema:productId N0f28fbb0a4124c90831eda9bc08d2a48
56 Ndd61cacb84c44c5db48c4876ab551c52
57 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023242337
58 https://doi.org/10.1007/pl00009020
59 schema:sdDatePublished 2022-01-01T18:07
60 schema:sdLicense https://scigraph.springernature.com/explorer/license/
61 schema:sdPublisher Nf8802fd8d00f4fde98fe3324be398806
62 schema:url https://doi.org/10.1007/pl00009020
63 sgo:license sg:explorer/license/
64 sgo:sdDataset articles
65 rdf:type schema:ScholarlyArticle
66 N0b959d56f088459cb840d8c0ee20bb6a rdf:first sg:person.01002553400.17
67 rdf:rest rdf:nil
68 N0f28fbb0a4124c90831eda9bc08d2a48 schema:name doi
69 schema:value 10.1007/pl00009020
70 rdf:type schema:PropertyValue
71 N2d861e147acb46d2b846b85405b40c11 schema:volumeNumber 19
72 rdf:type schema:PublicationVolume
73 N49362fe563624279844b999fe2339260 rdf:first sg:person.011146550540.18
74 rdf:rest N0b959d56f088459cb840d8c0ee20bb6a
75 N78e079ba708e4d82a3e6a185adeadcbb rdf:first sg:person.010126710075.07
76 rdf:rest N49362fe563624279844b999fe2339260
77 Nc2e7314beee44b21b51f084bb6ad52ba schema:issueNumber 4
78 rdf:type schema:PublicationIssue
79 Ndd61cacb84c44c5db48c4876ab551c52 schema:name dimensions_id
80 schema:value pub.1023242337
81 rdf:type schema:PropertyValue
82 Nf8802fd8d00f4fde98fe3324be398806 schema:name Springer Nature - SN SciGraph project
83 rdf:type schema:Organization
84 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
85 schema:name Engineering
86 rdf:type schema:DefinedTerm
87 anzsrc-for:0903 schema:inDefinedTermSet anzsrc-for:
88 schema:name Biomedical Engineering
89 rdf:type schema:DefinedTerm
90 anzsrc-for:0904 schema:inDefinedTermSet anzsrc-for:
91 schema:name Chemical Engineering
92 rdf:type schema:DefinedTerm
93 anzsrc-for:10 schema:inDefinedTermSet anzsrc-for:
94 schema:name Technology
95 rdf:type schema:DefinedTerm
96 anzsrc-for:1003 schema:inDefinedTermSet anzsrc-for:
97 schema:name Industrial Biotechnology
98 rdf:type schema:DefinedTerm
99 sg:journal.1297453 schema:issn 0178-515X
100 1432-0797
101 schema:name Bioprocess and Biosystems Engineering
102 schema:publisher Springer Nature
103 rdf:type schema:Periodical
104 sg:person.01002553400.17 schema:affiliation grid-institutes:grid.417969.4
105 schema:familyName Panda
106 schema:givenName T.
107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01002553400.17
108 rdf:type schema:Person
109 sg:person.010126710075.07 schema:affiliation grid-institutes:grid.417969.4
110 schema:familyName Mantha
111 schema:givenName D.
112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010126710075.07
113 rdf:type schema:Person
114 sg:person.011146550540.18 schema:affiliation grid-institutes:grid.417969.4
115 schema:familyName Aslam Basha
116 schema:givenName Z.
117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011146550540.18
118 rdf:type schema:Person
119 grid-institutes:grid.417969.4 schema:alternateName Biotechnology Research Centre, Department of Chemical Engineering, Indian Institute of Technology Madras, Chennai 600 036, India, IN
120 schema:name Biotechnology Research Centre, Department of Chemical Engineering, Indian Institute of Technology Madras, Chennai 600 036, India, IN
121 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...