Criteria for using proficiency test results for estimation of measurement uncertainty: feed analysis example View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-04

AUTHORS

Waldemar Korol, Jolanta Rubaj, Grażyna Bielecka, Sławomir Walczyński, Joanna Reszko-Zygmunt, Ryszard Dobrowolski

ABSTRACT

On the basis of long-standing proficiency testings (PTs) for the small number of PT participants p (7 ≤ p ≤ 30), laboratory bias and uncertainty were calculated by applying inter-laboratory experimental approaches. Uncertainty was estimated in two ways, according to Eurolab TR No 1/2007 and Nordtest TR 537 (2012). In the case of 24 tested feed components (basic nutrients, macro- and microelements, undesirable elements and some feed additives including vitamins A and E, lysine, threonine, methionine and urea) in the large variety of feed samples, differences between the expanded uncertainties calculated according to Eurolab TR No 1/2007 and Nordtest TR 537 did not exceed 1.4 % for all tested feed and analytes in wide concentration ranges. In order to get a reliable evaluation of bias and uncertainty, minimum of 6 PT rounds and a sufficient number of laboratories participating (p ≥ 10) are recommended. When the above parameters are applied and the standard deviation of the bias sbias ≤ 5 %, the expression sbias2/n can be omitted while calculating bias. Generally, both approaches fit the purpose of feed evaluation and the calculated uncertainties can be used for compliance assessment. More... »

PAGES

83-89

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00769-017-1252-1

DOI

http://dx.doi.org/10.1007/s00769-017-1252-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1084023277


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/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "National Research Institute of Animal Production", 
          "id": "https://www.grid.ac/institutes/grid.419741.e", 
          "name": [
            "National Research Institute of Animal Production, National Laboratory for Feedingstuffs, St. Chmielna 2, 20-079, Lublin, Poland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Korol", 
        "givenName": "Waldemar", 
        "id": "sg:person.015464245055.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015464245055.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Research Institute of Animal Production", 
          "id": "https://www.grid.ac/institutes/grid.419741.e", 
          "name": [
            "National Research Institute of Animal Production, National Laboratory for Feedingstuffs, St. Chmielna 2, 20-079, Lublin, Poland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rubaj", 
        "givenName": "Jolanta", 
        "id": "sg:person.07556554255.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07556554255.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Research Institute of Animal Production", 
          "id": "https://www.grid.ac/institutes/grid.419741.e", 
          "name": [
            "National Research Institute of Animal Production, National Laboratory for Feedingstuffs, St. Chmielna 2, 20-079, Lublin, Poland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bielecka", 
        "givenName": "Gra\u017cyna", 
        "id": "sg:person.016261625455.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016261625455.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Research Institute of Animal Production", 
          "id": "https://www.grid.ac/institutes/grid.419741.e", 
          "name": [
            "National Research Institute of Animal Production, National Laboratory for Feedingstuffs, St. Chmielna 2, 20-079, Lublin, Poland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Walczy\u0144ski", 
        "givenName": "S\u0142awomir", 
        "id": "sg:person.010354134655.56", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010354134655.56"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Maria Curie-Sk\u0142odowska University", 
          "id": "https://www.grid.ac/institutes/grid.29328.32", 
          "name": [
            "Department of Analytical Chemistry and Instrumental Analysis, Faculty of Chemistry, Maria Curie-Sklodowska University, M. C. Sklodowska Sq. 3, 20-031, Lublin, Poland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Reszko-Zygmunt", 
        "givenName": "Joanna", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Maria Curie-Sk\u0142odowska University", 
          "id": "https://www.grid.ac/institutes/grid.29328.32", 
          "name": [
            "Department of Analytical Chemistry and Instrumental Analysis, Faculty of Chemistry, Maria Curie-Sklodowska University, M. C. Sklodowska Sq. 3, 20-031, Lublin, Poland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dobrowolski", 
        "givenName": "Ryszard", 
        "id": "sg:person.01267301522.96", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01267301522.96"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00769-014-1096-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050009783", 
          "https://doi.org/10.1007/s00769-014-1096-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00769-014-1096-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050009783", 
          "https://doi.org/10.1007/s00769-014-1096-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1075244089", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077285601", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-04", 
    "datePublishedReg": "2017-04-01", 
    "description": "On the basis of long-standing proficiency testings (PTs) for the small number of PT participants p (7 \u2264 p \u2264 30), laboratory bias and uncertainty were calculated by applying inter-laboratory experimental approaches. Uncertainty was estimated in two ways, according to Eurolab TR No 1/2007 and Nordtest TR 537 (2012). In the case of 24 tested feed components (basic nutrients, macro- and microelements, undesirable elements and some feed additives including vitamins A and E, lysine, threonine, methionine and urea) in the large variety of feed samples, differences between the expanded uncertainties calculated according to Eurolab TR No 1/2007 and Nordtest TR 537 did not exceed 1.4 % for all tested feed and analytes in wide concentration ranges. In order to get a reliable evaluation of bias and uncertainty, minimum of 6 PT rounds and a sufficient number of laboratories participating (p \u2265 10) are recommended. When the above parameters are applied and the standard deviation of the bias sbias \u2264 5 %, the expression sbias2/n can be omitted while calculating bias. Generally, both approaches fit the purpose of feed evaluation and the calculated uncertainties can be used for compliance assessment.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00769-017-1252-1", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1133529", 
        "issn": [
          "0949-1775", 
          "1432-0517"
        ], 
        "name": "Accreditation and Quality Assurance", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "22"
      }
    ], 
    "name": "Criteria for using proficiency test results for estimation of measurement uncertainty: feed analysis example", 
    "pagination": "83-89", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "fdede23835309f779909f0f76647877a749d46c457319103ab5133356d77bc7f"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00769-017-1252-1"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1084023277"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00769-017-1252-1", 
      "https://app.dimensions.ai/details/publication/pub.1084023277"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:35", 
    "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/v90/0000000349_0000000349/records_113667_00000004.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00769-017-1252-1"
  }
]
 

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/s00769-017-1252-1'

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/s00769-017-1252-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00769-017-1252-1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00769-017-1252-1'


 

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

106 TRIPLES      21 PREDICATES      30 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00769-017-1252-1 schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author N7cf5a74d56474a13bc6d3d0b02123cb9
4 schema:citation sg:pub.10.1007/s00769-014-1096-x
5 https://app.dimensions.ai/details/publication/pub.1075244089
6 https://app.dimensions.ai/details/publication/pub.1077285601
7 schema:datePublished 2017-04
8 schema:datePublishedReg 2017-04-01
9 schema:description On the basis of long-standing proficiency testings (PTs) for the small number of PT participants p (7 ≤ p ≤ 30), laboratory bias and uncertainty were calculated by applying inter-laboratory experimental approaches. Uncertainty was estimated in two ways, according to Eurolab TR No 1/2007 and Nordtest TR 537 (2012). In the case of 24 tested feed components (basic nutrients, macro- and microelements, undesirable elements and some feed additives including vitamins A and E, lysine, threonine, methionine and urea) in the large variety of feed samples, differences between the expanded uncertainties calculated according to Eurolab TR No 1/2007 and Nordtest TR 537 did not exceed 1.4 % for all tested feed and analytes in wide concentration ranges. In order to get a reliable evaluation of bias and uncertainty, minimum of 6 PT rounds and a sufficient number of laboratories participating (p ≥ 10) are recommended. When the above parameters are applied and the standard deviation of the bias sbias ≤ 5 %, the expression sbias2/n can be omitted while calculating bias. Generally, both approaches fit the purpose of feed evaluation and the calculated uncertainties can be used for compliance assessment.
10 schema:genre research_article
11 schema:inLanguage en
12 schema:isAccessibleForFree true
13 schema:isPartOf N160997278dee40f2a516a66c3547f3c1
14 Nbd44775e1d97477a87a78f0d1c442bd3
15 sg:journal.1133529
16 schema:name Criteria for using proficiency test results for estimation of measurement uncertainty: feed analysis example
17 schema:pagination 83-89
18 schema:productId N85292876645b446aa00e42a5cde3ffd9
19 N89c562c5366342fcb94a26d7083608ae
20 Ne14a48bdc7cb4373a01160eca488b1f8
21 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084023277
22 https://doi.org/10.1007/s00769-017-1252-1
23 schema:sdDatePublished 2019-04-11T10:35
24 schema:sdLicense https://scigraph.springernature.com/explorer/license/
25 schema:sdPublisher N786c5755e19f4c4f9ea2e404b4499a22
26 schema:url https://link.springer.com/10.1007%2Fs00769-017-1252-1
27 sgo:license sg:explorer/license/
28 sgo:sdDataset articles
29 rdf:type schema:ScholarlyArticle
30 N160997278dee40f2a516a66c3547f3c1 schema:volumeNumber 22
31 rdf:type schema:PublicationVolume
32 N74f970e6c02444f3a4ee5115d90eea5a rdf:first sg:person.01267301522.96
33 rdf:rest rdf:nil
34 N771c0e032b6d425fb864dad1510f1da7 rdf:first sg:person.016261625455.44
35 rdf:rest Nea9b67c5b61a4ebfaa5d81702c4ac1ba
36 N786c5755e19f4c4f9ea2e404b4499a22 schema:name Springer Nature - SN SciGraph project
37 rdf:type schema:Organization
38 N7cf5a74d56474a13bc6d3d0b02123cb9 rdf:first sg:person.015464245055.04
39 rdf:rest Nb6f6dc1a0771498ca6172edc5b9fb9d9
40 N85292876645b446aa00e42a5cde3ffd9 schema:name readcube_id
41 schema:value fdede23835309f779909f0f76647877a749d46c457319103ab5133356d77bc7f
42 rdf:type schema:PropertyValue
43 N89c562c5366342fcb94a26d7083608ae schema:name dimensions_id
44 schema:value pub.1084023277
45 rdf:type schema:PropertyValue
46 Nb6f6dc1a0771498ca6172edc5b9fb9d9 rdf:first sg:person.07556554255.21
47 rdf:rest N771c0e032b6d425fb864dad1510f1da7
48 Nbd44775e1d97477a87a78f0d1c442bd3 schema:issueNumber 2
49 rdf:type schema:PublicationIssue
50 Nd01518f60c3d4a9282ee57f4032f523e schema:affiliation https://www.grid.ac/institutes/grid.29328.32
51 schema:familyName Reszko-Zygmunt
52 schema:givenName Joanna
53 rdf:type schema:Person
54 Nd01aaaadc7c7497eae9a6c3cffa49db3 rdf:first Nd01518f60c3d4a9282ee57f4032f523e
55 rdf:rest N74f970e6c02444f3a4ee5115d90eea5a
56 Ne14a48bdc7cb4373a01160eca488b1f8 schema:name doi
57 schema:value 10.1007/s00769-017-1252-1
58 rdf:type schema:PropertyValue
59 Nea9b67c5b61a4ebfaa5d81702c4ac1ba rdf:first sg:person.010354134655.56
60 rdf:rest Nd01aaaadc7c7497eae9a6c3cffa49db3
61 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
62 schema:name Medical and Health Sciences
63 rdf:type schema:DefinedTerm
64 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
65 schema:name Public Health and Health Services
66 rdf:type schema:DefinedTerm
67 sg:journal.1133529 schema:issn 0949-1775
68 1432-0517
69 schema:name Accreditation and Quality Assurance
70 rdf:type schema:Periodical
71 sg:person.010354134655.56 schema:affiliation https://www.grid.ac/institutes/grid.419741.e
72 schema:familyName Walczyński
73 schema:givenName Sławomir
74 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010354134655.56
75 rdf:type schema:Person
76 sg:person.01267301522.96 schema:affiliation https://www.grid.ac/institutes/grid.29328.32
77 schema:familyName Dobrowolski
78 schema:givenName Ryszard
79 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01267301522.96
80 rdf:type schema:Person
81 sg:person.015464245055.04 schema:affiliation https://www.grid.ac/institutes/grid.419741.e
82 schema:familyName Korol
83 schema:givenName Waldemar
84 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015464245055.04
85 rdf:type schema:Person
86 sg:person.016261625455.44 schema:affiliation https://www.grid.ac/institutes/grid.419741.e
87 schema:familyName Bielecka
88 schema:givenName Grażyna
89 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016261625455.44
90 rdf:type schema:Person
91 sg:person.07556554255.21 schema:affiliation https://www.grid.ac/institutes/grid.419741.e
92 schema:familyName Rubaj
93 schema:givenName Jolanta
94 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07556554255.21
95 rdf:type schema:Person
96 sg:pub.10.1007/s00769-014-1096-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1050009783
97 https://doi.org/10.1007/s00769-014-1096-x
98 rdf:type schema:CreativeWork
99 https://app.dimensions.ai/details/publication/pub.1075244089 schema:CreativeWork
100 https://app.dimensions.ai/details/publication/pub.1077285601 schema:CreativeWork
101 https://www.grid.ac/institutes/grid.29328.32 schema:alternateName Maria Curie-Skłodowska University
102 schema:name Department of Analytical Chemistry and Instrumental Analysis, Faculty of Chemistry, Maria Curie-Sklodowska University, M. C. Sklodowska Sq. 3, 20-031, Lublin, Poland
103 rdf:type schema:Organization
104 https://www.grid.ac/institutes/grid.419741.e schema:alternateName National Research Institute of Animal Production
105 schema:name National Research Institute of Animal Production, National Laboratory for Feedingstuffs, St. Chmielna 2, 20-079, Lublin, Poland
106 rdf:type schema:Organization
 




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


...