Development of efficient method for preconcentration and determination of copper, nickel, zinc and iron ions in environmental samples by combination ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2009-03

AUTHORS

Mehrorang Ghaedi, Ardeshir Shokrollahi, Khodabakhsh Niknam, Ebrahim Niknam, Mustafa Soylak

ABSTRACT

A cloud point extraction procedure for the preconcentration of copper, nickel, iron and zinc ions in various samples has been described. Analyte ions in aqueous phase are complexed with 3-((indolin-3-yl)(phenyl)methyl)indoline (IYPMI) and following centrifugation quantitatively extracted to the aqueous phase rich in Triton X-114. The surfactant-rich phase was dissolved in 2.0 mol L−1 HNO3 in methanol prior to metal content determination by flame atomic absorption spectrometry (FAAS). The effects of some parameters including, the concentrations of IYPMI, Triton X-114 and HNO3, bath temperature, centrifuge rate and time were investigated on the recoveries of analyte ions. At optimum conditions, the detection limits of (3 SDb m−1) of 1.6, 2.8, 2.1 and 1.1 ng mL−1 for Cu2+, Fe3+, Ni2+ and Zn2+ along with preconcentration factors of 30 and enrichment factor of 48, 39, 34 and 52 for Cu2+, Ni2+, Fe3+ and Zn2+ respectively, were obtained. The proposed cloud point extraction has been successfully applied for the determination of metal ions in real samples with complicated matrix such as biological, soil and blood samples with high efficiency. More... »

PAGES

148-154

Identifiers

URI

http://scigraph.springernature.com/pub.10.2478/s11532-008-0102-8

DOI

http://dx.doi.org/10.2478/s11532-008-0102-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1021660626


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0306", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Chemistry (incl. Structural)", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/03", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Yasouj University", 
          "id": "https://www.grid.ac/institutes/grid.440825.f", 
          "name": [
            "Chemistry Department, Yasouj University, 75914-353, Yasouj, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ghaedi", 
        "givenName": "Mehrorang", 
        "id": "sg:person.0723637733.90", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0723637733.90"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yasouj University", 
          "id": "https://www.grid.ac/institutes/grid.440825.f", 
          "name": [
            "Chemistry Department, Yasouj University, 75914-353, Yasouj, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shokrollahi", 
        "givenName": "Ardeshir", 
        "id": "sg:person.01345713467.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01345713467.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Persian Gulf University", 
          "id": "https://www.grid.ac/institutes/grid.412491.b", 
          "name": [
            "Chemistry Department, Bushehr University, Bushehr, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Niknam", 
        "givenName": "Khodabakhsh", 
        "id": "sg:person.01277600267.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01277600267.81"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yasouj University", 
          "id": "https://www.grid.ac/institutes/grid.440825.f", 
          "name": [
            "Chemistry Department, Yasouj University, 75914-353, Yasouj, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Niknam", 
        "givenName": "Ebrahim", 
        "id": "sg:person.0622307367.36", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0622307367.36"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Erciyes University", 
          "id": "https://www.grid.ac/institutes/grid.411739.9", 
          "name": [
            "Chemistry Department, University of Erciyes, 38039, Kayseri, Turkey"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Soylak", 
        "givenName": "Mustafa", 
        "id": "sg:person.01070730652.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01070730652.26"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0003-2670(96)00603-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004492820"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/a809457h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004995041"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.trac.2005.01.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006467644"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhazmat.2006.12.070", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010193880"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhazmat.2007.01.082", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010675425"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhazmat.2008.03.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012121014"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/b209680c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013115252"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aca.2004.06.049", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013239966"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0584-8547(98)00241-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013357491"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1590/s0103-50532003000300016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015019442"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.sab.2005.02.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015811465"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aca.2006.07.056", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016627177"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.talanta.2007.03.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019048607"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00604-006-0671-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021389310", 
          "https://doi.org/10.1007/s00604-006-0671-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00604-006-0671-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021389310", 
          "https://doi.org/10.1007/s00604-006-0671-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.seppur.2006.10.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021743077"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0584-8547(01)00313-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022027036"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0165-9936(02)00502-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023379882"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhazmat.2007.05.029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024256180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1590/s0103-50532006000400024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024494764"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhazmat.2006.08.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026780099"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0039-9140(03)00039-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032615321"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1590/s0100-40422008000100015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032912613"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.2478/s11532-008-0049-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033958569", 
          "https://doi.org/10.2478/s11532-008-0049-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aca.2006.06.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035947963"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0021-9673(97)00345-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038917857"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.talanta.2008.06.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041049471"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/ja9961100037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045014783"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adic.200790027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047053150"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adic.200790027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047053150"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/05704920500230880", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047151508"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhazmat.2008.03.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049164596"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ie980389n", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055647263"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ie980389n", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055647263"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ol052770r", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056247327"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ol052770r", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056247327"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1246/bcsj.79.432", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064477933"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077695486", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2009-03", 
    "datePublishedReg": "2009-03-01", 
    "description": "A cloud point extraction procedure for the preconcentration of copper, nickel, iron and zinc ions in various samples has been described. Analyte ions in aqueous phase are complexed with 3-((indolin-3-yl)(phenyl)methyl)indoline (IYPMI) and following centrifugation quantitatively extracted to the aqueous phase rich in Triton X-114. The surfactant-rich phase was dissolved in 2.0 mol L\u22121 HNO3 in methanol prior to metal content determination by flame atomic absorption spectrometry (FAAS). The effects of some parameters including, the concentrations of IYPMI, Triton X-114 and HNO3, bath temperature, centrifuge rate and time were investigated on the recoveries of analyte ions. At optimum conditions, the detection limits of (3 SDb m\u22121) of 1.6, 2.8, 2.1 and 1.1 ng mL\u22121 for Cu2+, Fe3+, Ni2+ and Zn2+ along with preconcentration factors of 30 and enrichment factor of 48, 39, 34 and 52 for Cu2+, Ni2+, Fe3+ and Zn2+ respectively, were obtained. The proposed cloud point extraction has been successfully applied for the determination of metal ions in real samples with complicated matrix such as biological, soil and blood samples with high efficiency.", 
    "genre": "research_article", 
    "id": "sg:pub.10.2478/s11532-008-0102-8", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1046368", 
        "issn": [
          "1644-3624", 
          "2391-5420"
        ], 
        "name": "Central European Journal of Chemistry", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "7"
      }
    ], 
    "name": "Development of efficient method for preconcentration and determination of copper, nickel, zinc and iron ions in environmental samples by combination of cloud point extraction and flame atomic absorption spectrometry", 
    "pagination": "148-154", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "67339193724ea5935a0aa8399d1caf21108fe534898b9e9a0f009af024e69c47"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.2478/s11532-008-0102-8"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1021660626"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.2478/s11532-008-0102-8", 
      "https://app.dimensions.ai/details/publication/pub.1021660626"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T14:06", 
    "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_8660_00000499.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.2478/s11532-008-0102-8"
  }
]
 

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.10.2478/s11532-008-0102-8'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.2478/s11532-008-0102-8'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.2478/s11532-008-0102-8'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.2478/s11532-008-0102-8'


 

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

198 TRIPLES      21 PREDICATES      61 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.2478/s11532-008-0102-8 schema:about anzsrc-for:03
2 anzsrc-for:0306
3 schema:author N6076250efc5846cbba0b1f3ebf4996ac
4 schema:citation sg:pub.10.1007/s00604-006-0671-1
5 sg:pub.10.2478/s11532-008-0049-9
6 https://app.dimensions.ai/details/publication/pub.1077695486
7 https://doi.org/10.1002/adic.200790027
8 https://doi.org/10.1016/j.aca.2004.06.049
9 https://doi.org/10.1016/j.aca.2006.06.018
10 https://doi.org/10.1016/j.aca.2006.07.056
11 https://doi.org/10.1016/j.jhazmat.2006.08.012
12 https://doi.org/10.1016/j.jhazmat.2006.12.070
13 https://doi.org/10.1016/j.jhazmat.2007.01.082
14 https://doi.org/10.1016/j.jhazmat.2007.05.029
15 https://doi.org/10.1016/j.jhazmat.2008.03.016
16 https://doi.org/10.1016/j.jhazmat.2008.03.021
17 https://doi.org/10.1016/j.sab.2005.02.004
18 https://doi.org/10.1016/j.seppur.2006.10.004
19 https://doi.org/10.1016/j.talanta.2007.03.007
20 https://doi.org/10.1016/j.talanta.2008.06.024
21 https://doi.org/10.1016/j.trac.2005.01.013
22 https://doi.org/10.1016/s0003-2670(96)00603-4
23 https://doi.org/10.1016/s0021-9673(97)00345-2
24 https://doi.org/10.1016/s0039-9140(03)00039-0
25 https://doi.org/10.1016/s0165-9936(02)00502-2
26 https://doi.org/10.1016/s0584-8547(01)00313-5
27 https://doi.org/10.1016/s0584-8547(98)00241-9
28 https://doi.org/10.1021/ie980389n
29 https://doi.org/10.1021/ol052770r
30 https://doi.org/10.1039/a809457h
31 https://doi.org/10.1039/b209680c
32 https://doi.org/10.1039/ja9961100037
33 https://doi.org/10.1080/05704920500230880
34 https://doi.org/10.1246/bcsj.79.432
35 https://doi.org/10.1590/s0100-40422008000100015
36 https://doi.org/10.1590/s0103-50532003000300016
37 https://doi.org/10.1590/s0103-50532006000400024
38 schema:datePublished 2009-03
39 schema:datePublishedReg 2009-03-01
40 schema:description A cloud point extraction procedure for the preconcentration of copper, nickel, iron and zinc ions in various samples has been described. Analyte ions in aqueous phase are complexed with 3-((indolin-3-yl)(phenyl)methyl)indoline (IYPMI) and following centrifugation quantitatively extracted to the aqueous phase rich in Triton X-114. The surfactant-rich phase was dissolved in 2.0 mol L−1 HNO3 in methanol prior to metal content determination by flame atomic absorption spectrometry (FAAS). The effects of some parameters including, the concentrations of IYPMI, Triton X-114 and HNO3, bath temperature, centrifuge rate and time were investigated on the recoveries of analyte ions. At optimum conditions, the detection limits of (3 SDb m−1) of 1.6, 2.8, 2.1 and 1.1 ng mL−1 for Cu2+, Fe3+, Ni2+ and Zn2+ along with preconcentration factors of 30 and enrichment factor of 48, 39, 34 and 52 for Cu2+, Ni2+, Fe3+ and Zn2+ respectively, were obtained. The proposed cloud point extraction has been successfully applied for the determination of metal ions in real samples with complicated matrix such as biological, soil and blood samples with high efficiency.
41 schema:genre research_article
42 schema:inLanguage en
43 schema:isAccessibleForFree true
44 schema:isPartOf N55615f4188ae4fb18b7f0ccce1f70ec8
45 N8b58bf4ca5fc43639a97c25bbb27e2dd
46 sg:journal.1046368
47 schema:name Development of efficient method for preconcentration and determination of copper, nickel, zinc and iron ions in environmental samples by combination of cloud point extraction and flame atomic absorption spectrometry
48 schema:pagination 148-154
49 schema:productId N20436f0d963344f49b92a3c495688b65
50 N73c766ae23344e39b1651d3a673d2f26
51 N77b428d6db2342e8bdf1a237fe0f5c1c
52 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021660626
53 https://doi.org/10.2478/s11532-008-0102-8
54 schema:sdDatePublished 2019-04-10T14:06
55 schema:sdLicense https://scigraph.springernature.com/explorer/license/
56 schema:sdPublisher Nd2cb41f9697e4fb2bb143f31ce100025
57 schema:url http://link.springer.com/10.2478/s11532-008-0102-8
58 sgo:license sg:explorer/license/
59 sgo:sdDataset articles
60 rdf:type schema:ScholarlyArticle
61 N040666f0ab1245ecb5e930340605e83a rdf:first sg:person.01345713467.17
62 rdf:rest N27a90c3dbcf44926aa59768264610e9d
63 N20436f0d963344f49b92a3c495688b65 schema:name dimensions_id
64 schema:value pub.1021660626
65 rdf:type schema:PropertyValue
66 N27a90c3dbcf44926aa59768264610e9d rdf:first sg:person.01277600267.81
67 rdf:rest Nf35ca6c68ed6471f97b212095d969ee0
68 N55615f4188ae4fb18b7f0ccce1f70ec8 schema:volumeNumber 7
69 rdf:type schema:PublicationVolume
70 N6076250efc5846cbba0b1f3ebf4996ac rdf:first sg:person.0723637733.90
71 rdf:rest N040666f0ab1245ecb5e930340605e83a
72 N73c766ae23344e39b1651d3a673d2f26 schema:name doi
73 schema:value 10.2478/s11532-008-0102-8
74 rdf:type schema:PropertyValue
75 N77b428d6db2342e8bdf1a237fe0f5c1c schema:name readcube_id
76 schema:value 67339193724ea5935a0aa8399d1caf21108fe534898b9e9a0f009af024e69c47
77 rdf:type schema:PropertyValue
78 N7f6c4100b6c24072974627a66fcd1e3a rdf:first sg:person.01070730652.26
79 rdf:rest rdf:nil
80 N8b58bf4ca5fc43639a97c25bbb27e2dd schema:issueNumber 1
81 rdf:type schema:PublicationIssue
82 Nd2cb41f9697e4fb2bb143f31ce100025 schema:name Springer Nature - SN SciGraph project
83 rdf:type schema:Organization
84 Nf35ca6c68ed6471f97b212095d969ee0 rdf:first sg:person.0622307367.36
85 rdf:rest N7f6c4100b6c24072974627a66fcd1e3a
86 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
87 schema:name Chemical Sciences
88 rdf:type schema:DefinedTerm
89 anzsrc-for:0306 schema:inDefinedTermSet anzsrc-for:
90 schema:name Physical Chemistry (incl. Structural)
91 rdf:type schema:DefinedTerm
92 sg:journal.1046368 schema:issn 1644-3624
93 2391-5420
94 schema:name Central European Journal of Chemistry
95 rdf:type schema:Periodical
96 sg:person.01070730652.26 schema:affiliation https://www.grid.ac/institutes/grid.411739.9
97 schema:familyName Soylak
98 schema:givenName Mustafa
99 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01070730652.26
100 rdf:type schema:Person
101 sg:person.01277600267.81 schema:affiliation https://www.grid.ac/institutes/grid.412491.b
102 schema:familyName Niknam
103 schema:givenName Khodabakhsh
104 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01277600267.81
105 rdf:type schema:Person
106 sg:person.01345713467.17 schema:affiliation https://www.grid.ac/institutes/grid.440825.f
107 schema:familyName Shokrollahi
108 schema:givenName Ardeshir
109 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01345713467.17
110 rdf:type schema:Person
111 sg:person.0622307367.36 schema:affiliation https://www.grid.ac/institutes/grid.440825.f
112 schema:familyName Niknam
113 schema:givenName Ebrahim
114 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0622307367.36
115 rdf:type schema:Person
116 sg:person.0723637733.90 schema:affiliation https://www.grid.ac/institutes/grid.440825.f
117 schema:familyName Ghaedi
118 schema:givenName Mehrorang
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0723637733.90
120 rdf:type schema:Person
121 sg:pub.10.1007/s00604-006-0671-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021389310
122 https://doi.org/10.1007/s00604-006-0671-1
123 rdf:type schema:CreativeWork
124 sg:pub.10.2478/s11532-008-0049-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033958569
125 https://doi.org/10.2478/s11532-008-0049-9
126 rdf:type schema:CreativeWork
127 https://app.dimensions.ai/details/publication/pub.1077695486 schema:CreativeWork
128 https://doi.org/10.1002/adic.200790027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047053150
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1016/j.aca.2004.06.049 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013239966
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1016/j.aca.2006.06.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035947963
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1016/j.aca.2006.07.056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016627177
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1016/j.jhazmat.2006.08.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026780099
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1016/j.jhazmat.2006.12.070 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010193880
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1016/j.jhazmat.2007.01.082 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010675425
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1016/j.jhazmat.2007.05.029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024256180
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1016/j.jhazmat.2008.03.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012121014
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1016/j.jhazmat.2008.03.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049164596
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1016/j.sab.2005.02.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015811465
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1016/j.seppur.2006.10.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021743077
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1016/j.talanta.2007.03.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019048607
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1016/j.talanta.2008.06.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041049471
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/j.trac.2005.01.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006467644
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1016/s0003-2670(96)00603-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004492820
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1016/s0021-9673(97)00345-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038917857
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1016/s0039-9140(03)00039-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032615321
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1016/s0165-9936(02)00502-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023379882
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1016/s0584-8547(01)00313-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022027036
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1016/s0584-8547(98)00241-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013357491
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1021/ie980389n schema:sameAs https://app.dimensions.ai/details/publication/pub.1055647263
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1021/ol052770r schema:sameAs https://app.dimensions.ai/details/publication/pub.1056247327
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1039/a809457h schema:sameAs https://app.dimensions.ai/details/publication/pub.1004995041
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1039/b209680c schema:sameAs https://app.dimensions.ai/details/publication/pub.1013115252
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1039/ja9961100037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045014783
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1080/05704920500230880 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047151508
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1246/bcsj.79.432 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064477933
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1590/s0100-40422008000100015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032912613
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1590/s0103-50532003000300016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015019442
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1590/s0103-50532006000400024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024494764
189 rdf:type schema:CreativeWork
190 https://www.grid.ac/institutes/grid.411739.9 schema:alternateName Erciyes University
191 schema:name Chemistry Department, University of Erciyes, 38039, Kayseri, Turkey
192 rdf:type schema:Organization
193 https://www.grid.ac/institutes/grid.412491.b schema:alternateName Persian Gulf University
194 schema:name Chemistry Department, Bushehr University, Bushehr, Iran
195 rdf:type schema:Organization
196 https://www.grid.ac/institutes/grid.440825.f schema:alternateName Yasouj University
197 schema:name Chemistry Department, Yasouj University, 75914-353, Yasouj, Iran
198 rdf:type schema:Organization
 




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


...