Phytase-Fe3O4 nanoparticles-loaded microcosms of silica for catalytic remediation of phytate-phosphorous from eutrophic water bodies View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03-27

AUTHORS

Gayatri Dave, Hasmukh Modi

ABSTRACT

Agriculture P management practices elevate the level of inorganic phosphates in soil that results in phosphorous (P) seepage into water-bodies. This is one of the key factors that have accelerated the menace of eutrophication. Phytic acid (phytate)-P-rich plant metabolite is infamous for its anti-nutrient activity and regularly oozing in to environment though discharge of mono-gastric animals. That has amplified the magnitudes of eutrophication. In this work, for catalysis of phytate-P, the metal-organic framework fabricated towards metal oxides (Fe3O4) and phytase in highly ordered microcosms of silica was employed. The synthesized framework was characterized through transmission electron microscopy (TEM) and nitrogen isotherm analysis. Average pore diameter of synthesized bisect oval shaped structures was measured around ≈200 nm. Herein, phytase and Fe3O4 nanoparticles were loaded to the cavities of microcosms through glutaraldehyde-mediated crosslinking. Whereas Fe3O4 nanoparticles act as nano-absorbents that adsorb P liberated from phytase-mediated catalysis of phytate. Kinetic analysis of free and loaded phytase has shown relatively small reduction in catalytic efficiency. These loaded microcosms have removed 60-80% of phytate-phosphate. The optimized process has reduced the growth of photoautotrophs by 50%. Additionally the magnet-assisted separation of loaded microcosms eased the reapplication of loaded microcosms tested for six independent instances. The primary studies conducted to evaluate the geno-toxicity of loaded microcosms have not shown any harmful effect on the process like cell division and seed germination. The efficacy of this method has evaluated towards on-field testing in Changa (Gujarat, India) lake. More... »

PAGES

1-13

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11356-019-04794-y

DOI

http://dx.doi.org/10.1007/s11356-019-04794-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1113041372

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30919185


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/2008/0399", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Other Chemical Sciences", 
        "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": "Charotar University of Science and Technology", 
          "id": "https://www.grid.ac/institutes/grid.448806.6", 
          "name": [
            "P.D.Patel Institute of Applied Sciences, Charotar University of Science and Technology (CHARUSAT), Education Campus, 388421, Changa, Gujarat, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dave", 
        "givenName": "Gayatri", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Gujarat University", 
          "id": "https://www.grid.ac/institutes/grid.411877.c", 
          "name": [
            "Department of Life Sciences, Gujarat University, Navarangpura, 3800009, Ahmedabad, Gujarat, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Modi", 
        "givenName": "Hasmukh", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.watres.2012.09.058", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002991025"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.apcatb.2013.08.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007647277"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c2gc35559k", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010702635"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.enzmictec.2005.11.042", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013403791"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.enzmictec.2007.12.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015476760"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf03326126", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015954186", 
          "https://doi.org/10.1007/bf03326126"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rsif.2013.0880", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016058533"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0065-2164(08)70375-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018769733"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chemosphere.2016.10.142", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024025062"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chemosphere.2016.10.142", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024025062"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0003-2697(81)90082-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025550812"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02109135", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031212238", 
          "https://doi.org/10.1007/bf02109135"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0003-2670(00)88444-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037909650"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aquaculture.2008.09.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043709291"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.envsoft.2007.08.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044426662"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.apcatb.2016.12.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045877327"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00227-012-1945-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046240407", 
          "https://doi.org/10.1007/s00227-012-1945-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cej.2011.03.102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046569816"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac0105686", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054992553"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac0105686", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054992553"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acs.est.6b02204", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055089243"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/cm071046v", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055413295"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/cm071046v", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055413295"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es5004044", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055507666"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2134/jeq1998.00472425002700020004x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069005947"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10311-017-0657-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090957030", 
          "https://doi.org/10.1007/s10311-017-0657-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10311-017-0657-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090957030", 
          "https://doi.org/10.1007/s10311-017-0657-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.watres.2017.10.051", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092334846"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chemosphere.2017.12.035", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099619786"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-03-27", 
    "datePublishedReg": "2019-03-27", 
    "description": "Agriculture P management practices elevate the level of inorganic phosphates in soil that results in phosphorous (P) seepage into water-bodies. This is one of the key factors that have accelerated the menace of eutrophication. Phytic acid (phytate)-P-rich plant metabolite is infamous for its anti-nutrient activity and regularly oozing in to environment though discharge of mono-gastric animals. That has amplified the magnitudes of eutrophication. In this work, for catalysis of phytate-P, the metal-organic framework fabricated towards metal oxides (Fe3O4) and phytase in highly ordered microcosms of silica was employed. The synthesized framework was characterized through transmission electron microscopy (TEM) and nitrogen isotherm analysis. Average pore diameter of synthesized bisect oval shaped structures was measured around \u2248200\u00a0nm. Herein, phytase and Fe3O4 nanoparticles were loaded to the cavities of microcosms through glutaraldehyde-mediated crosslinking. Whereas Fe3O4 nanoparticles act as nano-absorbents that adsorb P liberated from phytase-mediated catalysis of phytate. Kinetic analysis of free and loaded phytase has shown relatively small reduction in catalytic efficiency. These loaded microcosms have removed 60-80% of phytate-phosphate. The optimized process has reduced the growth of photoautotrophs by 50%. Additionally the magnet-assisted separation of loaded microcosms eased the reapplication of loaded microcosms tested for six independent instances. The primary studies conducted to evaluate the geno-toxicity of loaded microcosms have not shown any harmful effect on the process like cell division and seed germination. The efficacy of this method has evaluated towards on-field testing in Changa (Gujarat, India) lake.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11356-019-04794-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1113424", 
        "issn": [
          "0944-1344", 
          "1614-7499"
        ], 
        "name": "Environmental Science and Pollution Research", 
        "type": "Periodical"
      }
    ], 
    "name": "Phytase-Fe3O4 nanoparticles-loaded microcosms of silica for catalytic remediation of phytate-phosphorous from eutrophic water bodies", 
    "pagination": "1-13", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "0ef0400b8ac747f0442203f97a248a7f98c449e8b1b9d7997bf6722a9fb548cd"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30919185"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9441769"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11356-019-04794-y"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1113041372"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11356-019-04794-y", 
      "https://app.dimensions.ai/details/publication/pub.1113041372"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:18", 
    "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/v90/0000000368_0000000368/records_78938_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs11356-019-04794-y"
  }
]
 

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/s11356-019-04794-y'

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/s11356-019-04794-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11356-019-04794-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11356-019-04794-y'


 

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

150 TRIPLES      21 PREDICATES      51 URIs      18 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11356-019-04794-y schema:about anzsrc-for:03
2 anzsrc-for:0399
3 schema:author N3d1184bdebbb4829821bad3e1a632cdb
4 schema:citation sg:pub.10.1007/bf02109135
5 sg:pub.10.1007/bf03326126
6 sg:pub.10.1007/s00227-012-1945-2
7 sg:pub.10.1007/s10311-017-0657-8
8 https://doi.org/10.1016/0003-2697(81)90082-8
9 https://doi.org/10.1016/j.apcatb.2013.08.022
10 https://doi.org/10.1016/j.apcatb.2016.12.002
11 https://doi.org/10.1016/j.aquaculture.2008.09.007
12 https://doi.org/10.1016/j.cej.2011.03.102
13 https://doi.org/10.1016/j.chemosphere.2016.10.142
14 https://doi.org/10.1016/j.chemosphere.2017.12.035
15 https://doi.org/10.1016/j.envsoft.2007.08.005
16 https://doi.org/10.1016/j.enzmictec.2005.11.042
17 https://doi.org/10.1016/j.enzmictec.2007.12.006
18 https://doi.org/10.1016/j.watres.2012.09.058
19 https://doi.org/10.1016/j.watres.2017.10.051
20 https://doi.org/10.1016/s0003-2670(00)88444-5
21 https://doi.org/10.1016/s0065-2164(08)70375-7
22 https://doi.org/10.1021/ac0105686
23 https://doi.org/10.1021/acs.est.6b02204
24 https://doi.org/10.1021/cm071046v
25 https://doi.org/10.1021/es5004044
26 https://doi.org/10.1039/c2gc35559k
27 https://doi.org/10.1098/rsif.2013.0880
28 https://doi.org/10.2134/jeq1998.00472425002700020004x
29 schema:datePublished 2019-03-27
30 schema:datePublishedReg 2019-03-27
31 schema:description Agriculture P management practices elevate the level of inorganic phosphates in soil that results in phosphorous (P) seepage into water-bodies. This is one of the key factors that have accelerated the menace of eutrophication. Phytic acid (phytate)-P-rich plant metabolite is infamous for its anti-nutrient activity and regularly oozing in to environment though discharge of mono-gastric animals. That has amplified the magnitudes of eutrophication. In this work, for catalysis of phytate-P, the metal-organic framework fabricated towards metal oxides (Fe<sub>3</sub>O<sub>4</sub>) and phytase in highly ordered microcosms of silica was employed. The synthesized framework was characterized through transmission electron microscopy (TEM) and nitrogen isotherm analysis. Average pore diameter of synthesized bisect oval shaped structures was measured around ≈200 nm. Herein, phytase and Fe<sub>3</sub>O<sub>4</sub> nanoparticles were loaded to the cavities of microcosms through glutaraldehyde-mediated crosslinking. Whereas Fe<sub>3</sub>O<sub>4</sub> nanoparticles act as nano-absorbents that adsorb P liberated from phytase-mediated catalysis of phytate. Kinetic analysis of free and loaded phytase has shown relatively small reduction in catalytic efficiency. These loaded microcosms have removed 60-80% of phytate-phosphate. The optimized process has reduced the growth of photoautotrophs by 50%. Additionally the magnet-assisted separation of loaded microcosms eased the reapplication of loaded microcosms tested for six independent instances. The primary studies conducted to evaluate the geno-toxicity of loaded microcosms have not shown any harmful effect on the process like cell division and seed germination. The efficacy of this method has evaluated towards on-field testing in Changa (Gujarat, India) lake.
32 schema:genre research_article
33 schema:inLanguage en
34 schema:isAccessibleForFree false
35 schema:isPartOf sg:journal.1113424
36 schema:name Phytase-Fe3O4 nanoparticles-loaded microcosms of silica for catalytic remediation of phytate-phosphorous from eutrophic water bodies
37 schema:pagination 1-13
38 schema:productId N235aa8af61514fe0b463309e48fd99e6
39 N2e43d6823502464f90313fc88ddcccf4
40 N36c10fffc9a04823a0fc6beadddf8e18
41 N46b7b0c01bf74adda65de33f679f20dc
42 N660d3dfeac5344b1884778e460b4bf21
43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113041372
44 https://doi.org/10.1007/s11356-019-04794-y
45 schema:sdDatePublished 2019-04-11T13:18
46 schema:sdLicense https://scigraph.springernature.com/explorer/license/
47 schema:sdPublisher N9e511d6002b84a69acd6fa469b928b56
48 schema:url https://link.springer.com/10.1007%2Fs11356-019-04794-y
49 sgo:license sg:explorer/license/
50 sgo:sdDataset articles
51 rdf:type schema:ScholarlyArticle
52 N235aa8af61514fe0b463309e48fd99e6 schema:name readcube_id
53 schema:value 0ef0400b8ac747f0442203f97a248a7f98c449e8b1b9d7997bf6722a9fb548cd
54 rdf:type schema:PropertyValue
55 N2e43d6823502464f90313fc88ddcccf4 schema:name doi
56 schema:value 10.1007/s11356-019-04794-y
57 rdf:type schema:PropertyValue
58 N36c10fffc9a04823a0fc6beadddf8e18 schema:name pubmed_id
59 schema:value 30919185
60 rdf:type schema:PropertyValue
61 N3d1184bdebbb4829821bad3e1a632cdb rdf:first Na23dc609747947e985dd5c93aabeba7c
62 rdf:rest Ne4a5c6ebd87a408797e805c3e4339d5a
63 N46b7b0c01bf74adda65de33f679f20dc schema:name dimensions_id
64 schema:value pub.1113041372
65 rdf:type schema:PropertyValue
66 N61fa241fcd9144c4a8ea084b7b35836d schema:affiliation https://www.grid.ac/institutes/grid.411877.c
67 schema:familyName Modi
68 schema:givenName Hasmukh
69 rdf:type schema:Person
70 N660d3dfeac5344b1884778e460b4bf21 schema:name nlm_unique_id
71 schema:value 9441769
72 rdf:type schema:PropertyValue
73 N9e511d6002b84a69acd6fa469b928b56 schema:name Springer Nature - SN SciGraph project
74 rdf:type schema:Organization
75 Na23dc609747947e985dd5c93aabeba7c schema:affiliation https://www.grid.ac/institutes/grid.448806.6
76 schema:familyName Dave
77 schema:givenName Gayatri
78 rdf:type schema:Person
79 Ne4a5c6ebd87a408797e805c3e4339d5a rdf:first N61fa241fcd9144c4a8ea084b7b35836d
80 rdf:rest rdf:nil
81 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
82 schema:name Chemical Sciences
83 rdf:type schema:DefinedTerm
84 anzsrc-for:0399 schema:inDefinedTermSet anzsrc-for:
85 schema:name Other Chemical Sciences
86 rdf:type schema:DefinedTerm
87 sg:journal.1113424 schema:issn 0944-1344
88 1614-7499
89 schema:name Environmental Science and Pollution Research
90 rdf:type schema:Periodical
91 sg:pub.10.1007/bf02109135 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031212238
92 https://doi.org/10.1007/bf02109135
93 rdf:type schema:CreativeWork
94 sg:pub.10.1007/bf03326126 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015954186
95 https://doi.org/10.1007/bf03326126
96 rdf:type schema:CreativeWork
97 sg:pub.10.1007/s00227-012-1945-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046240407
98 https://doi.org/10.1007/s00227-012-1945-2
99 rdf:type schema:CreativeWork
100 sg:pub.10.1007/s10311-017-0657-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090957030
101 https://doi.org/10.1007/s10311-017-0657-8
102 rdf:type schema:CreativeWork
103 https://doi.org/10.1016/0003-2697(81)90082-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025550812
104 rdf:type schema:CreativeWork
105 https://doi.org/10.1016/j.apcatb.2013.08.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007647277
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1016/j.apcatb.2016.12.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045877327
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1016/j.aquaculture.2008.09.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043709291
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1016/j.cej.2011.03.102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046569816
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1016/j.chemosphere.2016.10.142 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024025062
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1016/j.chemosphere.2017.12.035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099619786
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1016/j.envsoft.2007.08.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044426662
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1016/j.enzmictec.2005.11.042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013403791
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1016/j.enzmictec.2007.12.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015476760
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1016/j.watres.2012.09.058 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002991025
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1016/j.watres.2017.10.051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092334846
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1016/s0003-2670(00)88444-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037909650
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1016/s0065-2164(08)70375-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018769733
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1021/ac0105686 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054992553
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1021/acs.est.6b02204 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055089243
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1021/cm071046v schema:sameAs https://app.dimensions.ai/details/publication/pub.1055413295
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1021/es5004044 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055507666
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1039/c2gc35559k schema:sameAs https://app.dimensions.ai/details/publication/pub.1010702635
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1098/rsif.2013.0880 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016058533
142 rdf:type schema:CreativeWork
143 https://doi.org/10.2134/jeq1998.00472425002700020004x schema:sameAs https://app.dimensions.ai/details/publication/pub.1069005947
144 rdf:type schema:CreativeWork
145 https://www.grid.ac/institutes/grid.411877.c schema:alternateName Gujarat University
146 schema:name Department of Life Sciences, Gujarat University, Navarangpura, 3800009, Ahmedabad, Gujarat, India
147 rdf:type schema:Organization
148 https://www.grid.ac/institutes/grid.448806.6 schema:alternateName Charotar University of Science and Technology
149 schema:name P.D.Patel Institute of Applied Sciences, Charotar University of Science and Technology (CHARUSAT), Education Campus, 388421, Changa, Gujarat, India
150 rdf:type schema:Organization
 




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


...