Hydrogenolysis of Alkanes in a Three-Phase Slurry Reactor over Cobalt Fisher–Tropsch Catalysts: A New Product Distribution Model View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-07

AUTHORS

A. E. Kuz’min, M. V. Kulikova, O. S. Dement’eva

ABSTRACT

Kinetic models are developed for the molecular-mass distribution of the products of hydrogenolysis of mixed long-chain n-alkanes experimentally studied in the three-phase slurry reactor over nanosized cobalt-containing Fischer–Tropsch catalysts. The models are based on different hypotheses pertaining to the ratios of probabilities for the cleavage of C–C bonds as a function of their position in n-alkane chains with allowance made for the occurrence of secondary transformations of products and the vapor-liquid equilibrium in the mixture of n-alkanes in a hydrogen medium. It is demonstrated that the experimentally observed features of this distribution cannot be described in terms of the known theories of C–C bond cleavage in the hydrogenolysis of long-chain alkanes (terminal methane splitting and uniform or normal distribution of product composition). The hypothesis of a regular increase in the probability of C–C bond cleavage on going from the center of the carbon chain to its ends is advanced. Calculations performed using combinations of the distribution following this hypothesis and the normal distribution make it possible to solve the problems mentioned above. More... »

PAGES

557-563

Identifiers

URI

http://scigraph.springernature.com/pub.10.1134/s0965544118070058

DOI

http://dx.doi.org/10.1134/s0965544118070058

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1105672996


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/2008/0306", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Chemistry (incl. Structural)", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/03", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "A.V.Topchiev Institute of Petrochemical Synthesis", 
          "id": "https://www.grid.ac/institutes/grid.423490.8", 
          "name": [
            "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kuz\u2019min", 
        "givenName": "A. E.", 
        "id": "sg:person.015427205327.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015427205327.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "A.V.Topchiev Institute of Petrochemical Synthesis", 
          "id": "https://www.grid.ac/institutes/grid.423490.8", 
          "name": [
            "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kulikova", 
        "givenName": "M. V.", 
        "id": "sg:person.011441232771.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011441232771.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "A.V.Topchiev Institute of Petrochemical Synthesis", 
          "id": "https://www.grid.ac/institutes/grid.423490.8", 
          "name": [
            "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dement\u2019eva", 
        "givenName": "O. S.", 
        "id": "sg:person.012611105146.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012611105146.28"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/0021-9517(86)90192-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000963592"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0167-2991(07)80488-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001940229"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0021-9517(86)90278-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006121978"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s0965544113030031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007022026", 
          "https://doi.org/10.1134/s0965544113030031"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cssc.201500375", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012783990"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0021-9517(79)90264-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025058150"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cctc.201402173", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028301870"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cctc.201100315", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034429760"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rspa.1963.0026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037287897"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0021-9517(77)90011-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040245142"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.apcata.2013.09.048", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046225063"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0021-9517(76)90375-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053000499"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acs.jpcc.6b00323", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055110981"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acscatal.5b01950", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055133780"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja4093743", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055855512"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s0965544116120082", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083744510", 
          "https://doi.org/10.1134/s0965544116120082"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s0965544116120082", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083744510", 
          "https://doi.org/10.1134/s0965544116120082"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-07", 
    "datePublishedReg": "2018-07-01", 
    "description": "Kinetic models are developed for the molecular-mass distribution of the products of hydrogenolysis of mixed long-chain n-alkanes experimentally studied in the three-phase slurry reactor over nanosized cobalt-containing Fischer\u2013Tropsch catalysts. The models are based on different hypotheses pertaining to the ratios of probabilities for the cleavage of C\u2013C bonds as a function of their position in n-alkane chains with allowance made for the occurrence of secondary transformations of products and the vapor-liquid equilibrium in the mixture of n-alkanes in a hydrogen medium. It is demonstrated that the experimentally observed features of this distribution cannot be described in terms of the known theories of C\u2013C bond cleavage in the hydrogenolysis of long-chain alkanes (terminal methane splitting and uniform or normal distribution of product composition). The hypothesis of a regular increase in the probability of C\u2013C bond cleavage on going from the center of the carbon chain to its ends is advanced. Calculations performed using combinations of the distribution following this hypothesis and the normal distribution make it possible to solve the problems mentioned above.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1134/s0965544118070058", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136087", 
        "issn": [
          "0965-5441", 
          "1555-6239"
        ], 
        "name": "Petroleum Chemistry", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "7", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "58"
      }
    ], 
    "name": "Hydrogenolysis of Alkanes in a Three-Phase Slurry Reactor over Cobalt Fisher\u2013Tropsch Catalysts: A New Product Distribution Model", 
    "pagination": "557-563", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "aa42bac66dc3a3e950d70259e9f22a4091e7f2dc23e5b601b97fd3b097e1dcae"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1134/s0965544118070058"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1105672996"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1134/s0965544118070058", 
      "https://app.dimensions.ai/details/publication/pub.1105672996"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T20:55", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8684_00000570.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1134%2FS0965544118070058"
  }
]
 

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.10.1134/s0965544118070058'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1134/s0965544118070058'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/s0965544118070058'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/s0965544118070058'


 

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

125 TRIPLES      21 PREDICATES      43 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1134/s0965544118070058 schema:about anzsrc-for:03
2 anzsrc-for:0306
3 schema:author Nba7dfcbaf3a14a3ea6582b151be80fd7
4 schema:citation sg:pub.10.1134/s0965544113030031
5 sg:pub.10.1134/s0965544116120082
6 https://doi.org/10.1002/cctc.201100315
7 https://doi.org/10.1002/cctc.201402173
8 https://doi.org/10.1002/cssc.201500375
9 https://doi.org/10.1016/0021-9517(76)90375-4
10 https://doi.org/10.1016/0021-9517(77)90011-2
11 https://doi.org/10.1016/0021-9517(79)90264-1
12 https://doi.org/10.1016/0021-9517(86)90192-2
13 https://doi.org/10.1016/0021-9517(86)90278-2
14 https://doi.org/10.1016/j.apcata.2013.09.048
15 https://doi.org/10.1016/s0167-2991(07)80488-5
16 https://doi.org/10.1021/acs.jpcc.6b00323
17 https://doi.org/10.1021/acscatal.5b01950
18 https://doi.org/10.1021/ja4093743
19 https://doi.org/10.1098/rspa.1963.0026
20 schema:datePublished 2018-07
21 schema:datePublishedReg 2018-07-01
22 schema:description Kinetic models are developed for the molecular-mass distribution of the products of hydrogenolysis of mixed long-chain n-alkanes experimentally studied in the three-phase slurry reactor over nanosized cobalt-containing Fischer–Tropsch catalysts. The models are based on different hypotheses pertaining to the ratios of probabilities for the cleavage of C–C bonds as a function of their position in n-alkane chains with allowance made for the occurrence of secondary transformations of products and the vapor-liquid equilibrium in the mixture of n-alkanes in a hydrogen medium. It is demonstrated that the experimentally observed features of this distribution cannot be described in terms of the known theories of C–C bond cleavage in the hydrogenolysis of long-chain alkanes (terminal methane splitting and uniform or normal distribution of product composition). The hypothesis of a regular increase in the probability of C–C bond cleavage on going from the center of the carbon chain to its ends is advanced. Calculations performed using combinations of the distribution following this hypothesis and the normal distribution make it possible to solve the problems mentioned above.
23 schema:genre research_article
24 schema:inLanguage en
25 schema:isAccessibleForFree false
26 schema:isPartOf N18f69ec1ed304d88a0a6aaf5f5bc11a8
27 N3ee32b4452004a84aa8165b4e3208247
28 sg:journal.1136087
29 schema:name Hydrogenolysis of Alkanes in a Three-Phase Slurry Reactor over Cobalt Fisher–Tropsch Catalysts: A New Product Distribution Model
30 schema:pagination 557-563
31 schema:productId N167efcfd6af24629a6b29a5c0bbb88da
32 N7fb6b4837bbe46b9b9dbd96ae14ef08e
33 Ne2669a1076264fae87e7c8bd904d2757
34 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105672996
35 https://doi.org/10.1134/s0965544118070058
36 schema:sdDatePublished 2019-04-10T20:55
37 schema:sdLicense https://scigraph.springernature.com/explorer/license/
38 schema:sdPublisher Nb1a4523c615e48bbb67c5f93b66a0334
39 schema:url https://link.springer.com/10.1134%2FS0965544118070058
40 sgo:license sg:explorer/license/
41 sgo:sdDataset articles
42 rdf:type schema:ScholarlyArticle
43 N167efcfd6af24629a6b29a5c0bbb88da schema:name readcube_id
44 schema:value aa42bac66dc3a3e950d70259e9f22a4091e7f2dc23e5b601b97fd3b097e1dcae
45 rdf:type schema:PropertyValue
46 N18f69ec1ed304d88a0a6aaf5f5bc11a8 schema:volumeNumber 58
47 rdf:type schema:PublicationVolume
48 N2bea1999d2444a54998521fdbdbaf41d rdf:first sg:person.012611105146.28
49 rdf:rest rdf:nil
50 N3ee32b4452004a84aa8165b4e3208247 schema:issueNumber 7
51 rdf:type schema:PublicationIssue
52 N7fb6b4837bbe46b9b9dbd96ae14ef08e schema:name doi
53 schema:value 10.1134/s0965544118070058
54 rdf:type schema:PropertyValue
55 Nb1a4523c615e48bbb67c5f93b66a0334 schema:name Springer Nature - SN SciGraph project
56 rdf:type schema:Organization
57 Nba7dfcbaf3a14a3ea6582b151be80fd7 rdf:first sg:person.015427205327.21
58 rdf:rest Nfa59bc3e6184400ebbdfd86897f201b3
59 Ne2669a1076264fae87e7c8bd904d2757 schema:name dimensions_id
60 schema:value pub.1105672996
61 rdf:type schema:PropertyValue
62 Nfa59bc3e6184400ebbdfd86897f201b3 rdf:first sg:person.011441232771.03
63 rdf:rest N2bea1999d2444a54998521fdbdbaf41d
64 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
65 schema:name Chemical Sciences
66 rdf:type schema:DefinedTerm
67 anzsrc-for:0306 schema:inDefinedTermSet anzsrc-for:
68 schema:name Physical Chemistry (incl. Structural)
69 rdf:type schema:DefinedTerm
70 sg:journal.1136087 schema:issn 0965-5441
71 1555-6239
72 schema:name Petroleum Chemistry
73 rdf:type schema:Periodical
74 sg:person.011441232771.03 schema:affiliation https://www.grid.ac/institutes/grid.423490.8
75 schema:familyName Kulikova
76 schema:givenName M. V.
77 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011441232771.03
78 rdf:type schema:Person
79 sg:person.012611105146.28 schema:affiliation https://www.grid.ac/institutes/grid.423490.8
80 schema:familyName Dement’eva
81 schema:givenName O. S.
82 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012611105146.28
83 rdf:type schema:Person
84 sg:person.015427205327.21 schema:affiliation https://www.grid.ac/institutes/grid.423490.8
85 schema:familyName Kuz’min
86 schema:givenName A. E.
87 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015427205327.21
88 rdf:type schema:Person
89 sg:pub.10.1134/s0965544113030031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007022026
90 https://doi.org/10.1134/s0965544113030031
91 rdf:type schema:CreativeWork
92 sg:pub.10.1134/s0965544116120082 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083744510
93 https://doi.org/10.1134/s0965544116120082
94 rdf:type schema:CreativeWork
95 https://doi.org/10.1002/cctc.201100315 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034429760
96 rdf:type schema:CreativeWork
97 https://doi.org/10.1002/cctc.201402173 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028301870
98 rdf:type schema:CreativeWork
99 https://doi.org/10.1002/cssc.201500375 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012783990
100 rdf:type schema:CreativeWork
101 https://doi.org/10.1016/0021-9517(76)90375-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053000499
102 rdf:type schema:CreativeWork
103 https://doi.org/10.1016/0021-9517(77)90011-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040245142
104 rdf:type schema:CreativeWork
105 https://doi.org/10.1016/0021-9517(79)90264-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025058150
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1016/0021-9517(86)90192-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000963592
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1016/0021-9517(86)90278-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006121978
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1016/j.apcata.2013.09.048 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046225063
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1016/s0167-2991(07)80488-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001940229
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1021/acs.jpcc.6b00323 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055110981
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1021/acscatal.5b01950 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055133780
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1021/ja4093743 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055855512
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1098/rspa.1963.0026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037287897
122 rdf:type schema:CreativeWork
123 https://www.grid.ac/institutes/grid.423490.8 schema:alternateName A.V.Topchiev Institute of Petrochemical Synthesis
124 schema:name Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Moscow, Russia
125 rdf:type schema:Organization
 




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


...