Determination of marker pteridines in urine by HPLC with fluorimetric detection and second-order multivariate calibration using MCR-ALS View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2011-02

AUTHORS

A. Mancha de Llanos, M. M. De Zan, M. J. Culzoni, A. Espinosa-Mansilla, F. Cañada-Cañada, A. Muñoz de la Peña, H. C. Goicoechea

ABSTRACT

A liquid chromatographic method has been developed, in combination with the multivariate curve resolution-alternating least squares algorithm (MCR-ALS), for the simultaneous determination of marker pteridines in urine samples. A central composite design has been applied to optimize the factors influencing the separation (buffer concentration, buffer pH, flow rate, oven temperature, mobile-phase composition). A set of 15 calibration samples were randomly prepared, in a concentration range of 0.5-10.5 ng mL(-1) for neopterin, biopterin, and pterin; 4.0-8.0 ng mL(-1) for xanthopterin; and 0.5-4.5 ng mL(-1) for isoxanthopterin. The validation was carried out with fortified urine samples from healthy adults. The optimized conditions were a mobile-phase composition of 10 mM citric buffer at pH 5.44 and acetonitrile (94.5/5.5, v/v), a flow rate of 1.0 mL min(-1), and an oven temperature of 25 °C. The detection system consisted of a fast-scanning spectrofluorimeter, which allows obtaining of second-order data matrices containing the fluorescence intensity as a function of retention time and emission wavelength. In this work, MCR-ALS was used to cope with coeluting interferences, on account of the second-order advantage inherent to this algorithm which, in addition, is able to handle data sets deviating from trilinearity, like the high-performance liquid chromatography data analyzed in the present report. The developed approach enabled us to determine five pteridines, some of them with overlapped profiles, reducing the experimental time and reagent consumption. Ratio values for pteridines/creatinine in urine, for infected children with different pathologies, are reported in this work. More... »

PAGES

2123-2135

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00216-010-4071-3

DOI

http://dx.doi.org/10.1007/s00216-010-4071-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1030852321

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/20711774


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/2008/0301", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Analytical 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": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Algorithms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biomarkers", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Calibration", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Child", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Chromatography, High Pressure Liquid", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Fluorometry", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Least-Squares Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Multivariate Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pteridines", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Extremadura", 
          "id": "https://www.grid.ac/institutes/grid.8393.1", 
          "name": [
            "Department of Analytical Chemistry, University of Extremadura, 06006, Badajoz, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "de Llanos", 
        "givenName": "A. Mancha", 
        "id": "sg:person.014656324171.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014656324171.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Laboratory of Analytical Development and Chemometrics (LADAQ), Cathedra of Analytical Chemistry I, Faculty of Biochemistry and Biological Science, University National of Litoral, University City, S3000ZAA, Santa Fe, Argentina"
          ], 
          "type": "Organization"
        }, 
        "familyName": "De Zan", 
        "givenName": "M. M.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Laboratory of Analytical Development and Chemometrics (LADAQ), Cathedra of Analytical Chemistry I, Faculty of Biochemistry and Biological Science, University National of Litoral, University City, S3000ZAA, Santa Fe, Argentina"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Culzoni", 
        "givenName": "M. J.", 
        "id": "sg:person.01141147051.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01141147051.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Extremadura", 
          "id": "https://www.grid.ac/institutes/grid.8393.1", 
          "name": [
            "Department of Analytical Chemistry, University of Extremadura, 06006, Badajoz, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Espinosa-Mansilla", 
        "givenName": "A.", 
        "id": "sg:person.0641134606.62", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0641134606.62"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Extremadura", 
          "id": "https://www.grid.ac/institutes/grid.8393.1", 
          "name": [
            "Department of Sciences and Mathematics Education, University of Extremadura, 06006, Badajoz, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ca\u00f1ada-Ca\u00f1ada", 
        "givenName": "F.", 
        "id": "sg:person.01174022553.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01174022553.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Extremadura", 
          "id": "https://www.grid.ac/institutes/grid.8393.1", 
          "name": [
            "Department of Analytical Chemistry, University of Extremadura, 06006, Badajoz, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "de la Pe\u00f1a", 
        "givenName": "A. Mu\u00f1oz", 
        "id": "sg:person.011630665015.74", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011630665015.74"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Laboratory of Analytical Development and Chemometrics (LADAQ), Cathedra of Analytical Chemistry I, Faculty of Biochemistry and Biological Science, University National of Litoral, University City, S3000ZAA, Santa Fe, Argentina"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Goicoechea", 
        "givenName": "H. C.", 
        "id": "sg:person.0754117262.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0754117262.29"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0731-7085(98)00036-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000382264"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chroma.2009.04.033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002300639"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0003-2670(03)00724-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002585167"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0003-2670(03)00724-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002585167"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chroma.2007.11.091", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005054072"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aca.2009.06.045", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007596511"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aca.2008.05.079", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008315247"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.csda.2004.07.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013828664"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02491613", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020165147", 
          "https://doi.org/10.1007/bf02491613"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02491613", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020165147", 
          "https://doi.org/10.1007/bf02491613"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ab.2005.07.038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021696975"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0021-9673(97)00410-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024628353"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00216-008-1840-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025619738", 
          "https://doi.org/10.1007/s00216-008-1840-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00216-008-1840-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025619738", 
          "https://doi.org/10.1007/s00216-008-1840-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/elps.200800400", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026714113"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chroma.2009.05.073", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027538006"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jssc.200900734", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028779918"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jssc.200900734", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028779918"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.trac.2006.09.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032405991"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jssc.200301371", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033340217"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.talanta.2005.09.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037223305"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chroma.2007.11.049", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040740791"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chroma.2009.08.077", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040905356"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chroma.2009.08.077", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040905356"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aca.2007.04.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041779791"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0009-8981(91)90019-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041857094"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0009-8981(91)90019-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041857094"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jpsychires.2006.02.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046379532"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.talanta.2008.07.046", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046660941"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.trac.2007.04.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048561911"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0304-3940(97)00976-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052116209"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chroma.2010.01.082", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053538106"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0021-9673(00)00599-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053667713"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac00014a016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054966100"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac00236a025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054983351"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac901272b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055071480"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac901272b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055071480"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac970939b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055074367"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac970939b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055074367"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac981218v", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055075787"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac981218v", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055075787"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1366/0003702011952622", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065255606"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1366/0003702011952622", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065255606"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/00224065.1980.11980968", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101183642"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2011-02", 
    "datePublishedReg": "2011-02-01", 
    "description": "A liquid chromatographic method has been developed, in combination with the multivariate curve resolution-alternating least squares algorithm (MCR-ALS), for the simultaneous determination of marker pteridines in urine samples. A central composite design has been applied to optimize the factors influencing the separation (buffer concentration, buffer pH, flow rate, oven temperature, mobile-phase composition). A set of 15 calibration samples were randomly prepared, in a concentration range of 0.5-10.5 ng mL(-1) for neopterin, biopterin, and pterin; 4.0-8.0 ng mL(-1) for xanthopterin; and 0.5-4.5 ng mL(-1) for isoxanthopterin. The validation was carried out with fortified urine samples from healthy adults. The optimized conditions were a mobile-phase composition of 10 mM citric buffer at pH 5.44 and acetonitrile (94.5/5.5, v/v), a flow rate of 1.0 mL min(-1), and an oven temperature of 25 \u00b0C. The detection system consisted of a fast-scanning spectrofluorimeter, which allows obtaining of second-order data matrices containing the fluorescence intensity as a function of retention time and emission wavelength. In this work, MCR-ALS was used to cope with coeluting interferences, on account of the second-order advantage inherent to this algorithm which, in addition, is able to handle data sets deviating from trilinearity, like the high-performance liquid chromatography data analyzed in the present report. The developed approach enabled us to determine five pteridines, some of them with overlapped profiles, reducing the experimental time and reagent consumption. Ratio values for pteridines/creatinine in urine, for infected children with different pathologies, are reported in this work.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00216-010-4071-3", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1357342", 
        "issn": [
          "1618-2642", 
          "1618-2650"
        ], 
        "name": "Analytical and Bioanalytical Chemistry", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "399"
      }
    ], 
    "name": "Determination of marker pteridines in urine by HPLC with fluorimetric detection and second-order multivariate calibration using MCR-ALS", 
    "pagination": "2123-2135", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "92fa19099e60e15dfffd3617718064d69819270c7e03361c25c16f91cc72ac0d"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "20711774"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101134327"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00216-010-4071-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1030852321"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00216-010-4071-3", 
      "https://app.dimensions.ai/details/publication/pub.1030852321"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T15:01", 
    "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_8663_00000513.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs00216-010-4071-3"
  }
]
 

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/s00216-010-4071-3'

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/s00216-010-4071-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00216-010-4071-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00216-010-4071-3'


 

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

273 TRIPLES      21 PREDICATES      76 URIs      34 LITERALS      22 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00216-010-4071-3 schema:about N0756a23a3623486caf84a799fc2885f2
2 N3138edb0d7604942bf6b3f5a64ab3923
3 N499897dd52234a4cb57f82f888db262c
4 N4f3fc9582e864494bb5bfaadbed25aa5
5 N515f87e2453d4f229d9c0a0527690c98
6 N5b54a4c928704ac3af546e68274c74ab
7 N5fdfbb849e8e4f059d39b82491a3ed6e
8 N6163c24f6fcf4f31a63d496368dc2cf3
9 N625541d1395c44a5b135814679deb4a3
10 Nb48c495ea3b24fdda300850e2cea31fa
11 Nc1f7aeecb28c4a66bd2f2c13096b1be8
12 Nf1da63bf3bf44e94ac50b4cb55335b1c
13 Nff9cb17989e94182b8acd5e3c46b747f
14 anzsrc-for:03
15 anzsrc-for:0301
16 schema:author N1dd39796557b4a879166e78adb8303e3
17 schema:citation sg:pub.10.1007/bf02491613
18 sg:pub.10.1007/s00216-008-1840-3
19 https://doi.org/10.1002/elps.200800400
20 https://doi.org/10.1002/jssc.200301371
21 https://doi.org/10.1002/jssc.200900734
22 https://doi.org/10.1016/0009-8981(91)90019-9
23 https://doi.org/10.1016/j.ab.2005.07.038
24 https://doi.org/10.1016/j.aca.2007.04.011
25 https://doi.org/10.1016/j.aca.2008.05.079
26 https://doi.org/10.1016/j.aca.2009.06.045
27 https://doi.org/10.1016/j.chroma.2007.11.049
28 https://doi.org/10.1016/j.chroma.2007.11.091
29 https://doi.org/10.1016/j.chroma.2009.04.033
30 https://doi.org/10.1016/j.chroma.2009.05.073
31 https://doi.org/10.1016/j.chroma.2009.08.077
32 https://doi.org/10.1016/j.chroma.2010.01.082
33 https://doi.org/10.1016/j.csda.2004.07.008
34 https://doi.org/10.1016/j.jpsychires.2006.02.001
35 https://doi.org/10.1016/j.talanta.2005.09.021
36 https://doi.org/10.1016/j.talanta.2008.07.046
37 https://doi.org/10.1016/j.trac.2006.09.001
38 https://doi.org/10.1016/j.trac.2007.04.006
39 https://doi.org/10.1016/s0003-2670(03)00724-4
40 https://doi.org/10.1016/s0021-9673(00)00599-9
41 https://doi.org/10.1016/s0021-9673(97)00410-x
42 https://doi.org/10.1016/s0304-3940(97)00976-2
43 https://doi.org/10.1016/s0731-7085(98)00036-3
44 https://doi.org/10.1021/ac00014a016
45 https://doi.org/10.1021/ac00236a025
46 https://doi.org/10.1021/ac901272b
47 https://doi.org/10.1021/ac970939b
48 https://doi.org/10.1021/ac981218v
49 https://doi.org/10.1080/00224065.1980.11980968
50 https://doi.org/10.1366/0003702011952622
51 schema:datePublished 2011-02
52 schema:datePublishedReg 2011-02-01
53 schema:description A liquid chromatographic method has been developed, in combination with the multivariate curve resolution-alternating least squares algorithm (MCR-ALS), for the simultaneous determination of marker pteridines in urine samples. A central composite design has been applied to optimize the factors influencing the separation (buffer concentration, buffer pH, flow rate, oven temperature, mobile-phase composition). A set of 15 calibration samples were randomly prepared, in a concentration range of 0.5-10.5 ng mL(-1) for neopterin, biopterin, and pterin; 4.0-8.0 ng mL(-1) for xanthopterin; and 0.5-4.5 ng mL(-1) for isoxanthopterin. The validation was carried out with fortified urine samples from healthy adults. The optimized conditions were a mobile-phase composition of 10 mM citric buffer at pH 5.44 and acetonitrile (94.5/5.5, v/v), a flow rate of 1.0 mL min(-1), and an oven temperature of 25 °C. The detection system consisted of a fast-scanning spectrofluorimeter, which allows obtaining of second-order data matrices containing the fluorescence intensity as a function of retention time and emission wavelength. In this work, MCR-ALS was used to cope with coeluting interferences, on account of the second-order advantage inherent to this algorithm which, in addition, is able to handle data sets deviating from trilinearity, like the high-performance liquid chromatography data analyzed in the present report. The developed approach enabled us to determine five pteridines, some of them with overlapped profiles, reducing the experimental time and reagent consumption. Ratio values for pteridines/creatinine in urine, for infected children with different pathologies, are reported in this work.
54 schema:genre research_article
55 schema:inLanguage en
56 schema:isAccessibleForFree false
57 schema:isPartOf N55b326a64f614c1382f3b0576dc51c3a
58 Na5ebd4ff7ffa418ead61e5a312814b9c
59 sg:journal.1357342
60 schema:name Determination of marker pteridines in urine by HPLC with fluorimetric detection and second-order multivariate calibration using MCR-ALS
61 schema:pagination 2123-2135
62 schema:productId N675b667269554417af051b573c9f1233
63 N7dbcce99f60a4b4788796ad38be47b20
64 Nac47db0a98ad44f7aa878f7ce14dc586
65 Ne6199d0a1fd1414592585aaa810fc326
66 Necbd5720b9604b7ca29ab4ec002c7189
67 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030852321
68 https://doi.org/10.1007/s00216-010-4071-3
69 schema:sdDatePublished 2019-04-10T15:01
70 schema:sdLicense https://scigraph.springernature.com/explorer/license/
71 schema:sdPublisher Ncf83c48f43864e30a79e0eb5ac43048b
72 schema:url http://link.springer.com/10.1007%2Fs00216-010-4071-3
73 sgo:license sg:explorer/license/
74 sgo:sdDataset articles
75 rdf:type schema:ScholarlyArticle
76 N0756a23a3623486caf84a799fc2885f2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
77 schema:name Humans
78 rdf:type schema:DefinedTerm
79 N10b4d43d545b4301839e9159317e0b33 rdf:first sg:person.0754117262.29
80 rdf:rest rdf:nil
81 N1dd39796557b4a879166e78adb8303e3 rdf:first sg:person.014656324171.53
82 rdf:rest Nf036268b291142d4b96b0c9f7b38959f
83 N1e9709e2ae6e46849fdf33ac69eb0375 rdf:first sg:person.0641134606.62
84 rdf:rest Nf39ec144832a43b6b27604b4eb8347a4
85 N293e44ec809a46428e5cd15b70cc2c71 schema:name Laboratory of Analytical Development and Chemometrics (LADAQ), Cathedra of Analytical Chemistry I, Faculty of Biochemistry and Biological Science, University National of Litoral, University City, S3000ZAA, Santa Fe, Argentina
86 rdf:type schema:Organization
87 N2ce5b589c6404f5188df59b3c574f8bd schema:name Laboratory of Analytical Development and Chemometrics (LADAQ), Cathedra of Analytical Chemistry I, Faculty of Biochemistry and Biological Science, University National of Litoral, University City, S3000ZAA, Santa Fe, Argentina
88 rdf:type schema:Organization
89 N3138edb0d7604942bf6b3f5a64ab3923 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Fluorometry
91 rdf:type schema:DefinedTerm
92 N499897dd52234a4cb57f82f888db262c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Biomarkers
94 rdf:type schema:DefinedTerm
95 N4f3fc9582e864494bb5bfaadbed25aa5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Pteridines
97 rdf:type schema:DefinedTerm
98 N515f87e2453d4f229d9c0a0527690c98 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
99 schema:name Male
100 rdf:type schema:DefinedTerm
101 N55b326a64f614c1382f3b0576dc51c3a schema:volumeNumber 399
102 rdf:type schema:PublicationVolume
103 N5b54a4c928704ac3af546e68274c74ab schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Adult
105 rdf:type schema:DefinedTerm
106 N5fdfbb849e8e4f059d39b82491a3ed6e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Chromatography, High Pressure Liquid
108 rdf:type schema:DefinedTerm
109 N6163c24f6fcf4f31a63d496368dc2cf3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Least-Squares Analysis
111 rdf:type schema:DefinedTerm
112 N625541d1395c44a5b135814679deb4a3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Child
114 rdf:type schema:DefinedTerm
115 N675b667269554417af051b573c9f1233 schema:name pubmed_id
116 schema:value 20711774
117 rdf:type schema:PropertyValue
118 N7dbcce99f60a4b4788796ad38be47b20 schema:name readcube_id
119 schema:value 92fa19099e60e15dfffd3617718064d69819270c7e03361c25c16f91cc72ac0d
120 rdf:type schema:PropertyValue
121 N96f4caff2e4c43f18ad6bd17c57edda3 rdf:first sg:person.011630665015.74
122 rdf:rest N10b4d43d545b4301839e9159317e0b33
123 Na5ebd4ff7ffa418ead61e5a312814b9c schema:issueNumber 6
124 rdf:type schema:PublicationIssue
125 Nac1960f87d914816b7f8259d5f8fc371 schema:affiliation N293e44ec809a46428e5cd15b70cc2c71
126 schema:familyName De Zan
127 schema:givenName M. M.
128 rdf:type schema:Person
129 Nac47db0a98ad44f7aa878f7ce14dc586 schema:name doi
130 schema:value 10.1007/s00216-010-4071-3
131 rdf:type schema:PropertyValue
132 Nb48c495ea3b24fdda300850e2cea31fa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Female
134 rdf:type schema:DefinedTerm
135 Nc1f7aeecb28c4a66bd2f2c13096b1be8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Algorithms
137 rdf:type schema:DefinedTerm
138 Ncf83c48f43864e30a79e0eb5ac43048b schema:name Springer Nature - SN SciGraph project
139 rdf:type schema:Organization
140 Ne6199d0a1fd1414592585aaa810fc326 schema:name dimensions_id
141 schema:value pub.1030852321
142 rdf:type schema:PropertyValue
143 Necbd5720b9604b7ca29ab4ec002c7189 schema:name nlm_unique_id
144 schema:value 101134327
145 rdf:type schema:PropertyValue
146 Ned895555d9ee419b8147359509a60e0c rdf:first sg:person.01141147051.18
147 rdf:rest N1e9709e2ae6e46849fdf33ac69eb0375
148 Nef5c5f24a4b048d9ab396b2422382417 schema:name Laboratory of Analytical Development and Chemometrics (LADAQ), Cathedra of Analytical Chemistry I, Faculty of Biochemistry and Biological Science, University National of Litoral, University City, S3000ZAA, Santa Fe, Argentina
149 rdf:type schema:Organization
150 Nf036268b291142d4b96b0c9f7b38959f rdf:first Nac1960f87d914816b7f8259d5f8fc371
151 rdf:rest Ned895555d9ee419b8147359509a60e0c
152 Nf1da63bf3bf44e94ac50b4cb55335b1c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
153 schema:name Multivariate Analysis
154 rdf:type schema:DefinedTerm
155 Nf39ec144832a43b6b27604b4eb8347a4 rdf:first sg:person.01174022553.16
156 rdf:rest N96f4caff2e4c43f18ad6bd17c57edda3
157 Nff9cb17989e94182b8acd5e3c46b747f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
158 schema:name Calibration
159 rdf:type schema:DefinedTerm
160 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
161 schema:name Chemical Sciences
162 rdf:type schema:DefinedTerm
163 anzsrc-for:0301 schema:inDefinedTermSet anzsrc-for:
164 schema:name Analytical Chemistry
165 rdf:type schema:DefinedTerm
166 sg:journal.1357342 schema:issn 1618-2642
167 1618-2650
168 schema:name Analytical and Bioanalytical Chemistry
169 rdf:type schema:Periodical
170 sg:person.01141147051.18 schema:affiliation Nef5c5f24a4b048d9ab396b2422382417
171 schema:familyName Culzoni
172 schema:givenName M. J.
173 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01141147051.18
174 rdf:type schema:Person
175 sg:person.011630665015.74 schema:affiliation https://www.grid.ac/institutes/grid.8393.1
176 schema:familyName de la Peña
177 schema:givenName A. Muñoz
178 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011630665015.74
179 rdf:type schema:Person
180 sg:person.01174022553.16 schema:affiliation https://www.grid.ac/institutes/grid.8393.1
181 schema:familyName Cañada-Cañada
182 schema:givenName F.
183 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01174022553.16
184 rdf:type schema:Person
185 sg:person.014656324171.53 schema:affiliation https://www.grid.ac/institutes/grid.8393.1
186 schema:familyName de Llanos
187 schema:givenName A. Mancha
188 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014656324171.53
189 rdf:type schema:Person
190 sg:person.0641134606.62 schema:affiliation https://www.grid.ac/institutes/grid.8393.1
191 schema:familyName Espinosa-Mansilla
192 schema:givenName A.
193 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0641134606.62
194 rdf:type schema:Person
195 sg:person.0754117262.29 schema:affiliation N2ce5b589c6404f5188df59b3c574f8bd
196 schema:familyName Goicoechea
197 schema:givenName H. C.
198 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0754117262.29
199 rdf:type schema:Person
200 sg:pub.10.1007/bf02491613 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020165147
201 https://doi.org/10.1007/bf02491613
202 rdf:type schema:CreativeWork
203 sg:pub.10.1007/s00216-008-1840-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025619738
204 https://doi.org/10.1007/s00216-008-1840-3
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1002/elps.200800400 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026714113
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1002/jssc.200301371 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033340217
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1002/jssc.200900734 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028779918
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1016/0009-8981(91)90019-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041857094
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1016/j.ab.2005.07.038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021696975
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1016/j.aca.2007.04.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041779791
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1016/j.aca.2008.05.079 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008315247
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1016/j.aca.2009.06.045 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007596511
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1016/j.chroma.2007.11.049 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040740791
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1016/j.chroma.2007.11.091 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005054072
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1016/j.chroma.2009.04.033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002300639
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1016/j.chroma.2009.05.073 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027538006
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1016/j.chroma.2009.08.077 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040905356
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1016/j.chroma.2010.01.082 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053538106
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1016/j.csda.2004.07.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013828664
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1016/j.jpsychires.2006.02.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046379532
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1016/j.talanta.2005.09.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037223305
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1016/j.talanta.2008.07.046 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046660941
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1016/j.trac.2006.09.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032405991
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1016/j.trac.2007.04.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048561911
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1016/s0003-2670(03)00724-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002585167
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1016/s0021-9673(00)00599-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053667713
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1016/s0021-9673(97)00410-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1024628353
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1016/s0304-3940(97)00976-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052116209
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1016/s0731-7085(98)00036-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000382264
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1021/ac00014a016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054966100
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1021/ac00236a025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054983351
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1021/ac901272b schema:sameAs https://app.dimensions.ai/details/publication/pub.1055071480
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1021/ac970939b schema:sameAs https://app.dimensions.ai/details/publication/pub.1055074367
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1021/ac981218v schema:sameAs https://app.dimensions.ai/details/publication/pub.1055075787
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1080/00224065.1980.11980968 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101183642
267 rdf:type schema:CreativeWork
268 https://doi.org/10.1366/0003702011952622 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065255606
269 rdf:type schema:CreativeWork
270 https://www.grid.ac/institutes/grid.8393.1 schema:alternateName University of Extremadura
271 schema:name Department of Analytical Chemistry, University of Extremadura, 06006, Badajoz, Spain
272 Department of Sciences and Mathematics Education, University of Extremadura, 06006, Badajoz, Spain
273 rdf:type schema:Organization
 




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


...