Study of spectrophotometric method for determination of trace copper after the separation and enrichment with solid phase extractant-microcrystalline phenolphthalein View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2007-01

AUTHORS

QuanMin Li, XiaoHong Zhao, Kai Jiang, GuoGuang Liu

ABSTRACT

A new method of using phenolphthalein loaded with 1-(2-pyridylazo)-2-naphthol (PAN) as solid phase extractant to separate and enrich trace copper in diverse water samples has been developed. The effects of different parameters, such as the amounts of PAN and phenolphthalein, stirring time, various salts and metal ions on the enrichment yield of Cu(II) have been investigated to select the experimental conditions. Under the optimum conditions, Cu(II) can be totally adsorbed on the surface of microcrystalline phenolphthalein. By controlling appropriate acidity (pH=1.0), Cu(II) is completely separated from Cd(II), Pb(II), Mn(II), Co(II), Fe(III), Ni(II), Al(III), Zn(II) and Hg(II) in the solution. The possible reaction mechanism of the enrichment of copper is discussed in detail in this paper. The detection limit of this proposed method is found to be 0.03 μg·L−1 with the enrichment factor of 200. The recovery is in a range of 96.8%–105%. The standard deviation is less than 2.5%. The proposed method has been successfully applied to the determination of trace copper in different water samples with satisfactory results. More... »

PAGES

65-70

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11434-007-0018-2

DOI

http://dx.doi.org/10.1007/s11434-007-0018-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1048696733


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": "Henan Normal University", 
          "id": "https://www.grid.ac/institutes/grid.462338.8", 
          "name": [
            "The Key Laboratory of Environmental Pollution Control Technology of Henan Province, College of Chemistry and Environmental Science, Henan Normal University, 453007, Xinxiang, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "QuanMin", 
        "id": "sg:person.016101750673.95", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016101750673.95"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Henan Normal University", 
          "id": "https://www.grid.ac/institutes/grid.462338.8", 
          "name": [
            "The Key Laboratory of Environmental Pollution Control Technology of Henan Province, College of Chemistry and Environmental Science, Henan Normal University, 453007, Xinxiang, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhao", 
        "givenName": "XiaoHong", 
        "id": "sg:person.07574573545.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07574573545.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Henan Normal University", 
          "id": "https://www.grid.ac/institutes/grid.462338.8", 
          "name": [
            "The Key Laboratory of Environmental Pollution Control Technology of Henan Province, College of Chemistry and Environmental Science, Henan Normal University, 453007, Xinxiang, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jiang", 
        "givenName": "Kai", 
        "id": "sg:person.0666225251.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0666225251.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Henan Normal University", 
          "id": "https://www.grid.ac/institutes/grid.462338.8", 
          "name": [
            "The Key Laboratory of Environmental Pollution Control Technology of Henan Province, College of Chemistry and Environmental Science, Henan Normal University, 453007, Xinxiang, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liu", 
        "givenName": "GuoGuang", 
        "id": "sg:person.0753420536.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0753420536.42"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0003-2670(99)00796-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004328879"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/a707375e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005300202"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0003-2670(02)01597-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007198276"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0003-2670(02)01597-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007198276"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/a801635f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007503615"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.talanta.2004.02.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014756626"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0008-6223(03)00117-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014898152"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0008-6223(03)00117-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014898152"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/b507236k", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015631882"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/b507236k", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015631882"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/a903818c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017183121"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jpba.2005.04.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024960114"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0026-265x(00)00050-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026380037"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0039-9140(99)00230-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029914299"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.talanta.2005.01.030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033977894"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0039-9140(03)00328-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034039022"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0039-9140(03)00328-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034039022"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/b004229n", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034693221"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/b101823j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039775469"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0039-9140(99)00054-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044004969"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aca.2004.07.029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046071486"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0039-9140(02)00373-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047162561"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2007-01", 
    "datePublishedReg": "2007-01-01", 
    "description": "A new method of using phenolphthalein loaded with 1-(2-pyridylazo)-2-naphthol (PAN) as solid phase extractant to separate and enrich trace copper in diverse water samples has been developed. The effects of different parameters, such as the amounts of PAN and phenolphthalein, stirring time, various salts and metal ions on the enrichment yield of Cu(II) have been investigated to select the experimental conditions. Under the optimum conditions, Cu(II) can be totally adsorbed on the surface of microcrystalline phenolphthalein. By controlling appropriate acidity (pH=1.0), Cu(II) is completely separated from Cd(II), Pb(II), Mn(II), Co(II), Fe(III), Ni(II), Al(III), Zn(II) and Hg(II) in the solution. The possible reaction mechanism of the enrichment of copper is discussed in detail in this paper. The detection limit of this proposed method is found to be 0.03 \u03bcg\u00b7L\u22121 with the enrichment factor of 200. The recovery is in a range of 96.8%\u2013105%. The standard deviation is less than 2.5%. The proposed method has been successfully applied to the determination of trace copper in different water samples with satisfactory results.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11434-007-0018-2", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1051679", 
        "issn": [
          "2095-9273", 
          "2095-9281"
        ], 
        "name": "Science Bulletin", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "52"
      }
    ], 
    "name": "Study of spectrophotometric method for determination of trace copper after the separation and enrichment with solid phase extractant-microcrystalline phenolphthalein", 
    "pagination": "65-70", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "e7fb699d8455f77f2bd80318468c4688d85ec378e2174dbe5d64ccfd93b28d4b"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11434-007-0018-2"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1048696733"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11434-007-0018-2", 
      "https://app.dimensions.ai/details/publication/pub.1048696733"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T17:34", 
    "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_8672_00000524.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs11434-007-0018-2"
  }
]
 

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/s11434-007-0018-2'

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/s11434-007-0018-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11434-007-0018-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11434-007-0018-2'


 

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

136 TRIPLES      21 PREDICATES      45 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11434-007-0018-2 schema:about anzsrc-for:03
2 anzsrc-for:0306
3 schema:author N79fcabcca0c0431890b12fed4286efb7
4 schema:citation https://doi.org/10.1016/j.aca.2004.07.029
5 https://doi.org/10.1016/j.jpba.2005.04.010
6 https://doi.org/10.1016/j.talanta.2004.02.003
7 https://doi.org/10.1016/j.talanta.2005.01.030
8 https://doi.org/10.1016/s0003-2670(02)01597-0
9 https://doi.org/10.1016/s0003-2670(99)00796-5
10 https://doi.org/10.1016/s0008-6223(03)00117-9
11 https://doi.org/10.1016/s0026-265x(00)00050-3
12 https://doi.org/10.1016/s0039-9140(02)00373-9
13 https://doi.org/10.1016/s0039-9140(03)00328-x
14 https://doi.org/10.1016/s0039-9140(99)00054-5
15 https://doi.org/10.1016/s0039-9140(99)00230-1
16 https://doi.org/10.1039/a707375e
17 https://doi.org/10.1039/a801635f
18 https://doi.org/10.1039/a903818c
19 https://doi.org/10.1039/b004229n
20 https://doi.org/10.1039/b101823j
21 https://doi.org/10.1039/b507236k
22 schema:datePublished 2007-01
23 schema:datePublishedReg 2007-01-01
24 schema:description A new method of using phenolphthalein loaded with 1-(2-pyridylazo)-2-naphthol (PAN) as solid phase extractant to separate and enrich trace copper in diverse water samples has been developed. The effects of different parameters, such as the amounts of PAN and phenolphthalein, stirring time, various salts and metal ions on the enrichment yield of Cu(II) have been investigated to select the experimental conditions. Under the optimum conditions, Cu(II) can be totally adsorbed on the surface of microcrystalline phenolphthalein. By controlling appropriate acidity (pH=1.0), Cu(II) is completely separated from Cd(II), Pb(II), Mn(II), Co(II), Fe(III), Ni(II), Al(III), Zn(II) and Hg(II) in the solution. The possible reaction mechanism of the enrichment of copper is discussed in detail in this paper. The detection limit of this proposed method is found to be 0.03 μg·L−1 with the enrichment factor of 200. The recovery is in a range of 96.8%–105%. The standard deviation is less than 2.5%. The proposed method has been successfully applied to the determination of trace copper in different water samples with satisfactory results.
25 schema:genre research_article
26 schema:inLanguage en
27 schema:isAccessibleForFree false
28 schema:isPartOf N4ee3ad1b0a7e48b8a707a3569c39f616
29 Ncf8604344b234524b21501fbef3a2133
30 sg:journal.1051679
31 schema:name Study of spectrophotometric method for determination of trace copper after the separation and enrichment with solid phase extractant-microcrystalline phenolphthalein
32 schema:pagination 65-70
33 schema:productId N4ac10c2a458e47bd9152e26f15e46ce1
34 N8f5c016bdcc7494b9d64bf80281d4b04
35 Naf3fa1fe00844e6aacf67f63af898838
36 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048696733
37 https://doi.org/10.1007/s11434-007-0018-2
38 schema:sdDatePublished 2019-04-10T17:34
39 schema:sdLicense https://scigraph.springernature.com/explorer/license/
40 schema:sdPublisher Nd62fd4e4f6224a8cb859f2a00c5bc010
41 schema:url http://link.springer.com/10.1007%2Fs11434-007-0018-2
42 sgo:license sg:explorer/license/
43 sgo:sdDataset articles
44 rdf:type schema:ScholarlyArticle
45 N03c9123929524f0e80c7cf0183a6dd25 rdf:first sg:person.0666225251.45
46 rdf:rest N0f4cb3e4c1604aeb86d1a467cc0043f6
47 N0f4cb3e4c1604aeb86d1a467cc0043f6 rdf:first sg:person.0753420536.42
48 rdf:rest rdf:nil
49 N4ac10c2a458e47bd9152e26f15e46ce1 schema:name doi
50 schema:value 10.1007/s11434-007-0018-2
51 rdf:type schema:PropertyValue
52 N4ee3ad1b0a7e48b8a707a3569c39f616 schema:volumeNumber 52
53 rdf:type schema:PublicationVolume
54 N631515bec4dc40b787d8f6d276b5b4a2 rdf:first sg:person.07574573545.33
55 rdf:rest N03c9123929524f0e80c7cf0183a6dd25
56 N79fcabcca0c0431890b12fed4286efb7 rdf:first sg:person.016101750673.95
57 rdf:rest N631515bec4dc40b787d8f6d276b5b4a2
58 N8f5c016bdcc7494b9d64bf80281d4b04 schema:name readcube_id
59 schema:value e7fb699d8455f77f2bd80318468c4688d85ec378e2174dbe5d64ccfd93b28d4b
60 rdf:type schema:PropertyValue
61 Naf3fa1fe00844e6aacf67f63af898838 schema:name dimensions_id
62 schema:value pub.1048696733
63 rdf:type schema:PropertyValue
64 Ncf8604344b234524b21501fbef3a2133 schema:issueNumber 1
65 rdf:type schema:PublicationIssue
66 Nd62fd4e4f6224a8cb859f2a00c5bc010 schema:name Springer Nature - SN SciGraph project
67 rdf:type schema:Organization
68 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
69 schema:name Chemical Sciences
70 rdf:type schema:DefinedTerm
71 anzsrc-for:0306 schema:inDefinedTermSet anzsrc-for:
72 schema:name Physical Chemistry (incl. Structural)
73 rdf:type schema:DefinedTerm
74 sg:journal.1051679 schema:issn 2095-9273
75 2095-9281
76 schema:name Science Bulletin
77 rdf:type schema:Periodical
78 sg:person.016101750673.95 schema:affiliation https://www.grid.ac/institutes/grid.462338.8
79 schema:familyName Li
80 schema:givenName QuanMin
81 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016101750673.95
82 rdf:type schema:Person
83 sg:person.0666225251.45 schema:affiliation https://www.grid.ac/institutes/grid.462338.8
84 schema:familyName Jiang
85 schema:givenName Kai
86 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0666225251.45
87 rdf:type schema:Person
88 sg:person.0753420536.42 schema:affiliation https://www.grid.ac/institutes/grid.462338.8
89 schema:familyName Liu
90 schema:givenName GuoGuang
91 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0753420536.42
92 rdf:type schema:Person
93 sg:person.07574573545.33 schema:affiliation https://www.grid.ac/institutes/grid.462338.8
94 schema:familyName Zhao
95 schema:givenName XiaoHong
96 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07574573545.33
97 rdf:type schema:Person
98 https://doi.org/10.1016/j.aca.2004.07.029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046071486
99 rdf:type schema:CreativeWork
100 https://doi.org/10.1016/j.jpba.2005.04.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024960114
101 rdf:type schema:CreativeWork
102 https://doi.org/10.1016/j.talanta.2004.02.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014756626
103 rdf:type schema:CreativeWork
104 https://doi.org/10.1016/j.talanta.2005.01.030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033977894
105 rdf:type schema:CreativeWork
106 https://doi.org/10.1016/s0003-2670(02)01597-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007198276
107 rdf:type schema:CreativeWork
108 https://doi.org/10.1016/s0003-2670(99)00796-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004328879
109 rdf:type schema:CreativeWork
110 https://doi.org/10.1016/s0008-6223(03)00117-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014898152
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1016/s0026-265x(00)00050-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026380037
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1016/s0039-9140(02)00373-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047162561
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1016/s0039-9140(03)00328-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1034039022
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1016/s0039-9140(99)00054-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044004969
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1016/s0039-9140(99)00230-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029914299
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1039/a707375e schema:sameAs https://app.dimensions.ai/details/publication/pub.1005300202
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1039/a801635f schema:sameAs https://app.dimensions.ai/details/publication/pub.1007503615
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1039/a903818c schema:sameAs https://app.dimensions.ai/details/publication/pub.1017183121
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1039/b004229n schema:sameAs https://app.dimensions.ai/details/publication/pub.1034693221
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1039/b101823j schema:sameAs https://app.dimensions.ai/details/publication/pub.1039775469
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1039/b507236k schema:sameAs https://app.dimensions.ai/details/publication/pub.1015631882
133 rdf:type schema:CreativeWork
134 https://www.grid.ac/institutes/grid.462338.8 schema:alternateName Henan Normal University
135 schema:name The Key Laboratory of Environmental Pollution Control Technology of Henan Province, College of Chemistry and Environmental Science, Henan Normal University, 453007, Xinxiang, China
136 rdf:type schema:Organization
 




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


...