Reversed-phase HPLC analysis of peptides in standard and dairy samples using on-line absorbance and post-column OPA-fluorescence detection View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1994-10

AUTHORS

Tomás Herraiz, Vicente Casal, M. Carmen Polo

ABSTRACT

Absorbance and post-column o-phthalaldehyde (OPA)-fluorescent detection were used to analyse standard and dairy peptides following reverse-phase HPLC. Using both detection systems on-line provides additional information on the presence of peptides in dairy products. The detection response depends on the amino acid composition of the peptide involved. Among the peptides used, glutathione, lysine-containing peptides and peptides with glycine as the N-terminal residue give the highest fluorescence after the OPA post-column reaction. Absorbance is more sensitive than fluorescence for peptides with aromatic amino acids. Different parameters, such as the flow rate of OPA, the amount of mercaptoethanol in the OPA reagent and the temperature of reaction, substantially influence the fluorescent response of peptides. The interest of using on-line absorbance and fluorescence detection is highlighted by analysing peptides from skim milk and from a tryptic hydrolysate. More... »

PAGES

265-269

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf01193309

DOI

http://dx.doi.org/10.1007/bf01193309

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1038618652

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/7839733


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/2008/0305", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Organic Chemistry", 
        "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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Amino Acid Sequence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Animals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Caseins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Chromatography, High Pressure Liquid", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Microcomputers", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Molecular Sequence Data", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Peptides", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "o-Phthalaldehyde", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Instituto de Fermentaciones Industriales", 
          "id": "https://www.grid.ac/institutes/grid.418774.9", 
          "name": [
            "Instituto de Fermentaciones Industriales, CSIC, Juan de la Cierva 3, E-28006, Madrid, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Herraiz", 
        "givenName": "Tom\u00e1s", 
        "id": "sg:person.0661250473.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0661250473.82"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Instituto de Fermentaciones Industriales", 
          "id": "https://www.grid.ac/institutes/grid.418774.9", 
          "name": [
            "Instituto de Fermentaciones Industriales, CSIC, Juan de la Cierva 3, E-28006, Madrid, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Casal", 
        "givenName": "Vicente", 
        "id": "sg:person.01022320222.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01022320222.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Instituto de Fermentaciones Industriales", 
          "id": "https://www.grid.ac/institutes/grid.418774.9", 
          "name": [
            "Instituto de Fermentaciones Industriales, CSIC, Juan de la Cierva 3, E-28006, Madrid, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Carmen Polo", 
        "givenName": "M.", 
        "id": "sg:person.01316277705.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01316277705.67"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0021-9673(01)88484-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001312657"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0924-2244(10)80004-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002144043"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0924-2244(92)90132-g", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004607558"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0003-2697(82)90143-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005185032"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01202693", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006730104", 
          "https://doi.org/10.1007/bf01202693"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01202693", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006730104", 
          "https://doi.org/10.1007/bf01202693"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/j.2050-0416.1989.tb04608.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013454550"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0021-9673(86)80102-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016980360"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0021-9673(00)90560-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019509210"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0021-9673(01)90912-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020614794"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01197831", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021475888", 
          "https://doi.org/10.1007/bf01197831"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01197831", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021475888", 
          "https://doi.org/10.1007/bf01197831"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01483918908049194", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024626534"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1515/bchm3.1989.370.2.757", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024981320"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0021-9673(01)94601-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029473756"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0003-2697(74)90014-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030649768"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0021-9673(01)90399-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030844651"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1399-3011.1989.tb01278.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043309193"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1399-3011.1989.tb01278.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043309193"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0003-2697(79)90375-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045792090"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0003-2697(82)90167-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047412618"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02263849", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049028472", 
          "https://doi.org/10.1007/bf02263849"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02263849", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049028472", 
          "https://doi.org/10.1007/bf02263849"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0005-2795(79)90419-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050372171"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0005-2795(79)90419-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050372171"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0021-9673(01)93965-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050458772"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0022029900029940", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053779437"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0022029900029940", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053779437"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja00438a070", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055732587"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jf00016a030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055892229"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1994-10", 
    "datePublishedReg": "1994-10-01", 
    "description": "Absorbance and post-column o-phthalaldehyde (OPA)-fluorescent detection were used to analyse standard and dairy peptides following reverse-phase HPLC. Using both detection systems on-line provides additional information on the presence of peptides in dairy products. The detection response depends on the amino acid composition of the peptide involved. Among the peptides used, glutathione, lysine-containing peptides and peptides with glycine as the N-terminal residue give the highest fluorescence after the OPA post-column reaction. Absorbance is more sensitive than fluorescence for peptides with aromatic amino acids. Different parameters, such as the flow rate of OPA, the amount of mercaptoethanol in the OPA reagent and the temperature of reaction, substantially influence the fluorescent response of peptides. The interest of using on-line absorbance and fluorescence detection is highlighted by analysing peptides from skim milk and from a tryptic hydrolysate.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/bf01193309", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1312167", 
        "issn": [
          "0044-3026", 
          "1438-2385"
        ], 
        "name": "European Food Research and Technology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "199"
      }
    ], 
    "name": "Reversed-phase HPLC analysis of peptides in standard and dairy samples using on-line absorbance and post-column OPA-fluorescence detection", 
    "pagination": "265-269", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "b7f60ac05123e6bedc9a1b81faa25df377415ea2ee2014ce65abe63695ced998"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "7839733"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "7509812"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf01193309"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1038618652"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf01193309", 
      "https://app.dimensions.ai/details/publication/pub.1038618652"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:36", 
    "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/v90/0000000370_0000000370/records_46777_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/BF01193309"
  }
]
 

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/bf01193309'

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/bf01193309'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf01193309'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf01193309'


 

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

190 TRIPLES      21 PREDICATES      61 URIs      29 LITERALS      17 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf01193309 schema:about N32da7b759e1c419495fe130e41a267c6
2 N45a5446b342643b79176b9a1725439e1
3 Nad503c6c41024156880cb2f01cf52c78
4 Nc028dc01c9964778aac9a099c13add36
5 Ne2d2b98af5774755aaaeac4a06b4a1d2
6 Ne6f78ddf2fd040f1b3bbdef79efd1cb7
7 Nf0db5f97ded646ddbff14bc1c892de7f
8 Nf90498d0ba1c47afbacf048d537f66e3
9 anzsrc-for:03
10 anzsrc-for:0305
11 schema:author N7edda1b40a1b4f7ea4dac11eff034e84
12 schema:citation sg:pub.10.1007/bf01197831
13 sg:pub.10.1007/bf01202693
14 sg:pub.10.1007/bf02263849
15 https://doi.org/10.1002/j.2050-0416.1989.tb04608.x
16 https://doi.org/10.1016/0003-2697(74)90014-1
17 https://doi.org/10.1016/0003-2697(79)90375-0
18 https://doi.org/10.1016/0003-2697(82)90143-9
19 https://doi.org/10.1016/0003-2697(82)90167-1
20 https://doi.org/10.1016/0005-2795(79)90419-7
21 https://doi.org/10.1016/0021-9673(86)80102-9
22 https://doi.org/10.1016/0924-2244(92)90132-g
23 https://doi.org/10.1016/s0021-9673(00)90560-0
24 https://doi.org/10.1016/s0021-9673(01)88484-3
25 https://doi.org/10.1016/s0021-9673(01)90399-1
26 https://doi.org/10.1016/s0021-9673(01)90912-4
27 https://doi.org/10.1016/s0021-9673(01)93965-2
28 https://doi.org/10.1016/s0021-9673(01)94601-1
29 https://doi.org/10.1016/s0924-2244(10)80004-4
30 https://doi.org/10.1017/s0022029900029940
31 https://doi.org/10.1021/ja00438a070
32 https://doi.org/10.1021/jf00016a030
33 https://doi.org/10.1080/01483918908049194
34 https://doi.org/10.1111/j.1399-3011.1989.tb01278.x
35 https://doi.org/10.1515/bchm3.1989.370.2.757
36 schema:datePublished 1994-10
37 schema:datePublishedReg 1994-10-01
38 schema:description Absorbance and post-column o-phthalaldehyde (OPA)-fluorescent detection were used to analyse standard and dairy peptides following reverse-phase HPLC. Using both detection systems on-line provides additional information on the presence of peptides in dairy products. The detection response depends on the amino acid composition of the peptide involved. Among the peptides used, glutathione, lysine-containing peptides and peptides with glycine as the N-terminal residue give the highest fluorescence after the OPA post-column reaction. Absorbance is more sensitive than fluorescence for peptides with aromatic amino acids. Different parameters, such as the flow rate of OPA, the amount of mercaptoethanol in the OPA reagent and the temperature of reaction, substantially influence the fluorescent response of peptides. The interest of using on-line absorbance and fluorescence detection is highlighted by analysing peptides from skim milk and from a tryptic hydrolysate.
39 schema:genre research_article
40 schema:inLanguage en
41 schema:isAccessibleForFree false
42 schema:isPartOf N2feeed80f5f641d8b0a45199e938b1d2
43 Nb347a584f71a4013bf7b8360ca38beb5
44 sg:journal.1312167
45 schema:name Reversed-phase HPLC analysis of peptides in standard and dairy samples using on-line absorbance and post-column OPA-fluorescence detection
46 schema:pagination 265-269
47 schema:productId N538686a47c6f461985cc1ce8db2d9a81
48 N870fc5bef505443487374b92fb93da50
49 Na9f64d1c9f82491e91ebb1d6995b98ca
50 Nb50ef1187a2f47adafc449fa96f1a059
51 Ncb36caf9efe64722b30f6c40d1916ccc
52 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038618652
53 https://doi.org/10.1007/bf01193309
54 schema:sdDatePublished 2019-04-11T13:36
55 schema:sdLicense https://scigraph.springernature.com/explorer/license/
56 schema:sdPublisher N2a4e185bdbca4a95aed8b062fe3c718d
57 schema:url http://link.springer.com/10.1007/BF01193309
58 sgo:license sg:explorer/license/
59 sgo:sdDataset articles
60 rdf:type schema:ScholarlyArticle
61 N2a4e185bdbca4a95aed8b062fe3c718d schema:name Springer Nature - SN SciGraph project
62 rdf:type schema:Organization
63 N2feeed80f5f641d8b0a45199e938b1d2 schema:volumeNumber 199
64 rdf:type schema:PublicationVolume
65 N32da7b759e1c419495fe130e41a267c6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
66 schema:name Molecular Sequence Data
67 rdf:type schema:DefinedTerm
68 N45a5446b342643b79176b9a1725439e1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
69 schema:name Amino Acid Sequence
70 rdf:type schema:DefinedTerm
71 N538686a47c6f461985cc1ce8db2d9a81 schema:name doi
72 schema:value 10.1007/bf01193309
73 rdf:type schema:PropertyValue
74 N7edda1b40a1b4f7ea4dac11eff034e84 rdf:first sg:person.0661250473.82
75 rdf:rest Nfb539a9e9a5746c48315e15db313f779
76 N870fc5bef505443487374b92fb93da50 schema:name pubmed_id
77 schema:value 7839733
78 rdf:type schema:PropertyValue
79 Na9f64d1c9f82491e91ebb1d6995b98ca schema:name nlm_unique_id
80 schema:value 7509812
81 rdf:type schema:PropertyValue
82 Nad503c6c41024156880cb2f01cf52c78 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
83 schema:name Microcomputers
84 rdf:type schema:DefinedTerm
85 Nb347a584f71a4013bf7b8360ca38beb5 schema:issueNumber 4
86 rdf:type schema:PublicationIssue
87 Nb50ef1187a2f47adafc449fa96f1a059 schema:name readcube_id
88 schema:value b7f60ac05123e6bedc9a1b81faa25df377415ea2ee2014ce65abe63695ced998
89 rdf:type schema:PropertyValue
90 Nc028dc01c9964778aac9a099c13add36 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
91 schema:name Caseins
92 rdf:type schema:DefinedTerm
93 Ncb36caf9efe64722b30f6c40d1916ccc schema:name dimensions_id
94 schema:value pub.1038618652
95 rdf:type schema:PropertyValue
96 Ne2d2b98af5774755aaaeac4a06b4a1d2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Animals
98 rdf:type schema:DefinedTerm
99 Ne6f78ddf2fd040f1b3bbdef79efd1cb7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Chromatography, High Pressure Liquid
101 rdf:type schema:DefinedTerm
102 Nf0db5f97ded646ddbff14bc1c892de7f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
103 schema:name o-Phthalaldehyde
104 rdf:type schema:DefinedTerm
105 Nf84ce4f0e31d40a39b848fa412919250 rdf:first sg:person.01316277705.67
106 rdf:rest rdf:nil
107 Nf90498d0ba1c47afbacf048d537f66e3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Peptides
109 rdf:type schema:DefinedTerm
110 Nfb539a9e9a5746c48315e15db313f779 rdf:first sg:person.01022320222.00
111 rdf:rest Nf84ce4f0e31d40a39b848fa412919250
112 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
113 schema:name Chemical Sciences
114 rdf:type schema:DefinedTerm
115 anzsrc-for:0305 schema:inDefinedTermSet anzsrc-for:
116 schema:name Organic Chemistry
117 rdf:type schema:DefinedTerm
118 sg:journal.1312167 schema:issn 0044-3026
119 1438-2385
120 schema:name European Food Research and Technology
121 rdf:type schema:Periodical
122 sg:person.01022320222.00 schema:affiliation https://www.grid.ac/institutes/grid.418774.9
123 schema:familyName Casal
124 schema:givenName Vicente
125 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01022320222.00
126 rdf:type schema:Person
127 sg:person.01316277705.67 schema:affiliation https://www.grid.ac/institutes/grid.418774.9
128 schema:familyName Carmen Polo
129 schema:givenName M.
130 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01316277705.67
131 rdf:type schema:Person
132 sg:person.0661250473.82 schema:affiliation https://www.grid.ac/institutes/grid.418774.9
133 schema:familyName Herraiz
134 schema:givenName Tomás
135 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0661250473.82
136 rdf:type schema:Person
137 sg:pub.10.1007/bf01197831 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021475888
138 https://doi.org/10.1007/bf01197831
139 rdf:type schema:CreativeWork
140 sg:pub.10.1007/bf01202693 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006730104
141 https://doi.org/10.1007/bf01202693
142 rdf:type schema:CreativeWork
143 sg:pub.10.1007/bf02263849 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049028472
144 https://doi.org/10.1007/bf02263849
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1002/j.2050-0416.1989.tb04608.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1013454550
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1016/0003-2697(74)90014-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030649768
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1016/0003-2697(79)90375-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045792090
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1016/0003-2697(82)90143-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005185032
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1016/0003-2697(82)90167-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047412618
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/0005-2795(79)90419-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050372171
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1016/0021-9673(86)80102-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016980360
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1016/0924-2244(92)90132-g schema:sameAs https://app.dimensions.ai/details/publication/pub.1004607558
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1016/s0021-9673(00)90560-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019509210
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1016/s0021-9673(01)88484-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001312657
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1016/s0021-9673(01)90399-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030844651
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1016/s0021-9673(01)90912-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020614794
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1016/s0021-9673(01)93965-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050458772
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1016/s0021-9673(01)94601-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029473756
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1016/s0924-2244(10)80004-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002144043
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1017/s0022029900029940 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053779437
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1021/ja00438a070 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055732587
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1021/jf00016a030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055892229
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1080/01483918908049194 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024626534
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1111/j.1399-3011.1989.tb01278.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1043309193
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1515/bchm3.1989.370.2.757 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024981320
187 rdf:type schema:CreativeWork
188 https://www.grid.ac/institutes/grid.418774.9 schema:alternateName Instituto de Fermentaciones Industriales
189 schema:name Instituto de Fermentaciones Industriales, CSIC, Juan de la Cierva 3, E-28006, Madrid, Spain
190 rdf:type schema:Organization
 




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


...