The Influence of Stop-Flow on Band Broadening of Peptides in Micro-Liquid Chromatography View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2006-07

AUTHORS

B. Q. Tran, E. Lundanes, T. Greibrokk

ABSTRACT

Stop-flow techniques are occasionally needed in combinations of LC-NMR and LC-MS. During the interval when there is no flow on the column, axial diffusion of components not yet eluted can be expected to take place. In this paper the size of the band broadening which is caused by diffusion during stop-flow has been determined for two peptides on reversed-phase packed micro columns. Within a temperature range of 20–40 °C, stop-flow could be extended to 30 minutes for peptides having k values in the range of 0.7–5.1 with little increase in band width on 1.0 mm i.d. columns at isocratic conditions. Stop-flow for 6 h at 20 °C increased the peak width of bradykinin and leucine-enkephalin by 25% and 60%, respectively, depending on the secondary interactions of the peptides. The peak broadening increased with increasing temperature (from 20 to 40 °C), as expected, and the impact was significant at stop-flow times larger than 2 h. Stop-flow during gradient elution resulted in less increase in peak width than isocratic elution due to the peak compression obtained when re-entering the gradient. At 20 °C the effective diffusion coefficients of leucine-enkephalin and bradykinin were determined to 6.5 × 10−7cm 2/s and 5.5 × 10−7 cm2/s, respectively, on the packed micro column. More... »

PAGES

1-5

Journal

TITLE

Chromatographia

ISSUE

1-2

VOLUME

64

Identifiers

URI

http://scigraph.springernature.com/pub.10.1365/s10337-006-0820-z

DOI

http://dx.doi.org/10.1365/s10337-006-0820-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1040421084


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/2008/0915", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Interdisciplinary Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Department of Chemistry, University of Oslo, Blindern, POB 1033N-0315, Oslo, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tran", 
        "givenName": "B. Q.", 
        "id": "sg:person.01014703404.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01014703404.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Chemistry, University of Oslo, Blindern, POB 1033N-0315, Oslo, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lundanes", 
        "givenName": "E.", 
        "id": "sg:person.01170326474.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01170326474.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Chemistry, University of Oslo, Blindern, POB 1033N-0315, Oslo, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Greibrokk", 
        "givenName": "T.", 
        "id": "sg:person.01236441674.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01236441674.11"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0021-9673(00)91609-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000899187"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1211/0022357044878", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003133403"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aca.2003.08.048", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003538480"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aca.2003.08.048", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003538480"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chroma.2004.05.099", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013410310"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0021-9673(02)02018-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017458333"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0021-9673(02)02018-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017458333"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0021-9673(01)96440-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022801310"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac035426l", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026700796"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac035426l", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026700796"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0021-9673(01)01214-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029256913"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0021-9673(98)00497-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034131923"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aca.2005.04.064", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040621156"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aca.2005.04.064", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040621156"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chroma.2005.01.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041872480"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1248/cpb.51.734", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045510872"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0021-9673(03)01290-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048708396"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0021-9673(03)01290-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048708396"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac00252a033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054985162"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac00257a029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054985792"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac9606968", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055072944"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac9606968", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055072944"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2006-07", 
    "datePublishedReg": "2006-07-01", 
    "description": "Stop-flow techniques are occasionally needed in combinations of LC-NMR and LC-MS. During the interval when there is no flow on the column, axial diffusion of components not yet eluted can be expected to take place. In this paper the size of the band broadening which is caused by diffusion during stop-flow has been determined for two peptides on reversed-phase packed micro columns. Within a temperature range of 20\u201340 \u00b0C, stop-flow could be extended to 30 minutes for peptides having k values in the range of 0.7\u20135.1 with little increase in band width on 1.0 mm i.d. columns at isocratic conditions. Stop-flow for 6 h at 20 \u00b0C increased the peak width of bradykinin and leucine-enkephalin by 25% and 60%, respectively, depending on the secondary interactions of the peptides. The peak broadening increased with increasing temperature (from 20 to 40 \u00b0C), as expected, and the impact was significant at stop-flow times larger than 2 h. Stop-flow during gradient elution resulted in less increase in peak width than isocratic elution due to the peak compression obtained when re-entering the gradient. At 20 \u00b0C the effective diffusion coefficients of leucine-enkephalin and bradykinin were determined to 6.5 \u00d7 10\u22127cm 2/s and 5.5 \u00d7 10\u22127 cm2/s, respectively, on the packed micro column.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1365/s10337-006-0820-z", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1015080", 
        "issn": [
          "0009-5893", 
          "1612-1112"
        ], 
        "name": "Chromatographia", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1-2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "64"
      }
    ], 
    "name": "The Influence of Stop-Flow on Band Broadening of Peptides in Micro-Liquid Chromatography", 
    "pagination": "1-5", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "c08c46231ea86f1f736dc7874ebccb0b0122168d101b40aaed1d5b640121b6dc"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1365/s10337-006-0820-z"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1040421084"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1365/s10337-006-0820-z", 
      "https://app.dimensions.ai/details/publication/pub.1040421084"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T20:58", 
    "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_00000592.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1365/s10337-006-0820-z"
  }
]
 

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.10.1365/s10337-006-0820-z'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1365/s10337-006-0820-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1365/s10337-006-0820-z'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1365/s10337-006-0820-z'


 

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

126 TRIPLES      21 PREDICATES      43 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1365/s10337-006-0820-z schema:about anzsrc-for:09
2 anzsrc-for:0915
3 schema:author N98d0972ec5ad4826b21abbe9343a2dcb
4 schema:citation https://doi.org/10.1016/j.aca.2003.08.048
5 https://doi.org/10.1016/j.aca.2005.04.064
6 https://doi.org/10.1016/j.chroma.2004.05.099
7 https://doi.org/10.1016/j.chroma.2005.01.015
8 https://doi.org/10.1016/s0021-9673(00)91609-1
9 https://doi.org/10.1016/s0021-9673(01)01214-6
10 https://doi.org/10.1016/s0021-9673(01)96440-4
11 https://doi.org/10.1016/s0021-9673(02)02018-6
12 https://doi.org/10.1016/s0021-9673(03)01290-1
13 https://doi.org/10.1016/s0021-9673(98)00497-x
14 https://doi.org/10.1021/ac00252a033
15 https://doi.org/10.1021/ac00257a029
16 https://doi.org/10.1021/ac035426l
17 https://doi.org/10.1021/ac9606968
18 https://doi.org/10.1211/0022357044878
19 https://doi.org/10.1248/cpb.51.734
20 schema:datePublished 2006-07
21 schema:datePublishedReg 2006-07-01
22 schema:description Stop-flow techniques are occasionally needed in combinations of LC-NMR and LC-MS. During the interval when there is no flow on the column, axial diffusion of components not yet eluted can be expected to take place. In this paper the size of the band broadening which is caused by diffusion during stop-flow has been determined for two peptides on reversed-phase packed micro columns. Within a temperature range of 20–40 °C, stop-flow could be extended to 30 minutes for peptides having k values in the range of 0.7–5.1 with little increase in band width on 1.0 mm i.d. columns at isocratic conditions. Stop-flow for 6 h at 20 °C increased the peak width of bradykinin and leucine-enkephalin by 25% and 60%, respectively, depending on the secondary interactions of the peptides. The peak broadening increased with increasing temperature (from 20 to 40 °C), as expected, and the impact was significant at stop-flow times larger than 2 h. Stop-flow during gradient elution resulted in less increase in peak width than isocratic elution due to the peak compression obtained when re-entering the gradient. At 20 °C the effective diffusion coefficients of leucine-enkephalin and bradykinin were determined to 6.5 × 10−7cm 2/s and 5.5 × 10−7 cm2/s, respectively, on the packed micro column.
23 schema:genre research_article
24 schema:inLanguage en
25 schema:isAccessibleForFree false
26 schema:isPartOf N87ca50a70ef7451780c1feb737379ae9
27 N998eb4c1791d4b059ac823941f3f2fd7
28 sg:journal.1015080
29 schema:name The Influence of Stop-Flow on Band Broadening of Peptides in Micro-Liquid Chromatography
30 schema:pagination 1-5
31 schema:productId N48bf8844199b4982b7830d41697dabdb
32 Na2ce5da9b0174c358c085ed62d7cd84c
33 Ncb9fab01e2da4e8f9cf7afd62f9ce882
34 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040421084
35 https://doi.org/10.1365/s10337-006-0820-z
36 schema:sdDatePublished 2019-04-10T20:58
37 schema:sdLicense https://scigraph.springernature.com/explorer/license/
38 schema:sdPublisher N6476376f88164a9bacec4d0123f0b0a9
39 schema:url http://link.springer.com/10.1365/s10337-006-0820-z
40 sgo:license sg:explorer/license/
41 sgo:sdDataset articles
42 rdf:type schema:ScholarlyArticle
43 N3e6e50347f9f46d485ae35dfe0e28862 rdf:first sg:person.01236441674.11
44 rdf:rest rdf:nil
45 N453b5b2c3d3a4e809878ace78de22ccf schema:name Department of Chemistry, University of Oslo, Blindern, POB 1033N-0315, Oslo, Norway
46 rdf:type schema:Organization
47 N48bf8844199b4982b7830d41697dabdb schema:name readcube_id
48 schema:value c08c46231ea86f1f736dc7874ebccb0b0122168d101b40aaed1d5b640121b6dc
49 rdf:type schema:PropertyValue
50 N558e119c404241278ebfe4b8559c4a39 schema:name Department of Chemistry, University of Oslo, Blindern, POB 1033N-0315, Oslo, Norway
51 rdf:type schema:Organization
52 N6476376f88164a9bacec4d0123f0b0a9 schema:name Springer Nature - SN SciGraph project
53 rdf:type schema:Organization
54 N65b69f90459b44178bc834211b1de03d rdf:first sg:person.01170326474.17
55 rdf:rest N3e6e50347f9f46d485ae35dfe0e28862
56 N87ca50a70ef7451780c1feb737379ae9 schema:issueNumber 1-2
57 rdf:type schema:PublicationIssue
58 N8df108e7c0e94a5baa67432f224f97a0 schema:name Department of Chemistry, University of Oslo, Blindern, POB 1033N-0315, Oslo, Norway
59 rdf:type schema:Organization
60 N98d0972ec5ad4826b21abbe9343a2dcb rdf:first sg:person.01014703404.24
61 rdf:rest N65b69f90459b44178bc834211b1de03d
62 N998eb4c1791d4b059ac823941f3f2fd7 schema:volumeNumber 64
63 rdf:type schema:PublicationVolume
64 Na2ce5da9b0174c358c085ed62d7cd84c schema:name doi
65 schema:value 10.1365/s10337-006-0820-z
66 rdf:type schema:PropertyValue
67 Ncb9fab01e2da4e8f9cf7afd62f9ce882 schema:name dimensions_id
68 schema:value pub.1040421084
69 rdf:type schema:PropertyValue
70 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
71 schema:name Engineering
72 rdf:type schema:DefinedTerm
73 anzsrc-for:0915 schema:inDefinedTermSet anzsrc-for:
74 schema:name Interdisciplinary Engineering
75 rdf:type schema:DefinedTerm
76 sg:journal.1015080 schema:issn 0009-5893
77 1612-1112
78 schema:name Chromatographia
79 rdf:type schema:Periodical
80 sg:person.01014703404.24 schema:affiliation N558e119c404241278ebfe4b8559c4a39
81 schema:familyName Tran
82 schema:givenName B. Q.
83 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01014703404.24
84 rdf:type schema:Person
85 sg:person.01170326474.17 schema:affiliation N8df108e7c0e94a5baa67432f224f97a0
86 schema:familyName Lundanes
87 schema:givenName E.
88 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01170326474.17
89 rdf:type schema:Person
90 sg:person.01236441674.11 schema:affiliation N453b5b2c3d3a4e809878ace78de22ccf
91 schema:familyName Greibrokk
92 schema:givenName T.
93 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01236441674.11
94 rdf:type schema:Person
95 https://doi.org/10.1016/j.aca.2003.08.048 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003538480
96 rdf:type schema:CreativeWork
97 https://doi.org/10.1016/j.aca.2005.04.064 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040621156
98 rdf:type schema:CreativeWork
99 https://doi.org/10.1016/j.chroma.2004.05.099 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013410310
100 rdf:type schema:CreativeWork
101 https://doi.org/10.1016/j.chroma.2005.01.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041872480
102 rdf:type schema:CreativeWork
103 https://doi.org/10.1016/s0021-9673(00)91609-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000899187
104 rdf:type schema:CreativeWork
105 https://doi.org/10.1016/s0021-9673(01)01214-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029256913
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1016/s0021-9673(01)96440-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022801310
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1016/s0021-9673(02)02018-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017458333
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1016/s0021-9673(03)01290-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048708396
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1016/s0021-9673(98)00497-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1034131923
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1021/ac00252a033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054985162
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1021/ac00257a029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054985792
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1021/ac035426l schema:sameAs https://app.dimensions.ai/details/publication/pub.1026700796
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1021/ac9606968 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055072944
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1211/0022357044878 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003133403
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1248/cpb.51.734 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045510872
126 rdf:type schema:CreativeWork
 




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


...