Performance of Coupling an Aerobic Pre-treatment Prior to a Solid-State Anaerobic Digestion of Food Waste View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02-27

AUTHORS

Henry Fisgativa, Marie Debled, Anne Tremier

ABSTRACT

An experimental design was proposed to test the influence of three parameters on the performance of food waste (FW) dry anaerobic digestion (AD) coupled with aerobic pre-treatment: (1) the type of aerobic pre-treatment (no pre-treatment/dynamic aeration/static storage); (2) the composition of FW (paper/no paper) and (3) the frequency of leachate recirculation in the batch leach bed reactor (LBR) used as dry AD process. Performance of AD was assessed by measuring pH, VFA, biogas production and by modelling the kinetics of methane production using modified Gompertz equation. A statistical analysis of variance showed that AD leachate recirculation condition was the most impacting parameter on methane production. A high production of VFA was noticed (~ 25 gDCO·L−1) that did not lead to inhibition due to high buffer capacity of inoculum (5.2 gN-NH4+·L−1). 80% of the biomethane potential was reached in the batch test with a daily leachate recirculation and with FW without paper. According to simulations, an experimental duration of 31–32 days showed to be optimal to reach 90% of degradation potential under these LBR conditions. A lower frequency of leachate recirculation or the addition of paper decreased methane production. The introduction of a two-day aeration step stabilized the production of VFA along the digestion process and enhanced the methane production on FW with paper. Conversely a two-day storage step induced a rapid acidification and a subsequent significant decrease of methane production rate. More... »

PAGES

1-12

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12649-019-00630-z

DOI

http://dx.doi.org/10.1007/s12649-019-00630-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112433145


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/2008/0907", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Environmental Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "National Research Institute of Science and Technology for Environment and Agriculture", 
          "id": "https://www.grid.ac/institutes/grid.48142.3b", 
          "name": [
            "Irstea, UR OPAALE, 17 avenue de Cucill\u00e9, CS 64427, 35044, Rennes Cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fisgativa", 
        "givenName": "Henry", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Research Institute of Science and Technology for Environment and Agriculture", 
          "id": "https://www.grid.ac/institutes/grid.48142.3b", 
          "name": [
            "Irstea, UR OPAALE, 17 avenue de Cucill\u00e9, CS 64427, 35044, Rennes Cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Debled", 
        "givenName": "Marie", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Research Institute of Science and Technology for Environment and Agriculture", 
          "id": "https://www.grid.ac/institutes/grid.48142.3b", 
          "name": [
            "Irstea, UR OPAALE, 17 avenue de Cucill\u00e9, CS 64427, 35044, Rennes Cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tremier", 
        "givenName": "Anne", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.biortech.2010.07.122", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003740447"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2011.11.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006448192"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2016.05.113", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008202884"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2013.08.038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009219672"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s002530050928", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011346560", 
          "https://doi.org/10.1007/s002530050928"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.wasman.2016.10.028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012891723"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.wasman.2016.10.028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012891723"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.watres.2012.04.028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012989632"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2006.11.043", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013271960"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2008.11.051", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014687122"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/03067310412331303217", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016893234"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.wasman.2012.04.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026134217"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jfoodeng.2006.09.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031052432"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jenvman.2012.03.043", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032354947"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2011.07.096", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032689165"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.procbio.2003.11.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038395469"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/wej.12130", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039841992"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2004.05.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041692321"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jenvman.2016.11.058", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042790097"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.rser.2014.07.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043203395"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.wasman.2016.01.041", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047327992"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2105/ajph.56.3.387", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068864381"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2166/wst.2000.0079", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074827384"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.wasman.2017.06.029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090284567"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2017.09.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091530311"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.wasman.2017.09.040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092131037"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2018.04.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103186804"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2018.04.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103186804"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.wasman.2018.09.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1106882052"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.wasman.2018.09.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1106882052"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-02-27", 
    "datePublishedReg": "2019-02-27", 
    "description": "An experimental design was proposed to test the influence of three parameters on the performance of food waste (FW) dry anaerobic digestion (AD) coupled with aerobic pre-treatment: (1) the type of aerobic pre-treatment (no pre-treatment/dynamic aeration/static storage); (2) the composition of FW (paper/no paper) and (3) the frequency of leachate recirculation in the batch leach bed reactor (LBR) used as dry AD process. Performance of AD was assessed by measuring pH, VFA, biogas production and by modelling the kinetics of methane production using modified Gompertz equation. A statistical analysis of variance showed that AD leachate recirculation condition was the most impacting parameter on methane production. A high production of VFA was noticed (~ 25 gDCO\u00b7L\u22121) that did not lead to inhibition due to high buffer capacity of inoculum (5.2 gN-NH4+\u00b7L\u22121). 80% of the biomethane potential was reached in the batch test with a daily leachate recirculation and with FW without paper. According to simulations, an experimental duration of 31\u201332 days showed to be optimal to reach 90% of degradation potential under these LBR conditions. A lower frequency of leachate recirculation or the addition of paper decreased methane production. The introduction of a two-day aeration step stabilized the production of VFA along the digestion process and enhanced the methane production on FW with paper. Conversely a two-day storage step induced a rapid acidification and a subsequent significant decrease of methane production rate.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s12649-019-00630-z", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1052653", 
        "issn": [
          "1877-2641", 
          "1877-265X"
        ], 
        "name": "Waste and Biomass Valorization", 
        "type": "Periodical"
      }
    ], 
    "name": "Performance of Coupling an Aerobic Pre-treatment Prior to a Solid-State Anaerobic Digestion of Food Waste", 
    "pagination": "1-12", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "0984a5af1481a4d587a06cf5c5349a17491633f5918355199143264552b698fb"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s12649-019-00630-z"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112433145"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s12649-019-00630-z", 
      "https://app.dimensions.ai/details/publication/pub.1112433145"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:21", 
    "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/v90/0000000348_0000000348/records_54336_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs12649-019-00630-z"
  }
]
 

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/s12649-019-00630-z'

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/s12649-019-00630-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12649-019-00630-z'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12649-019-00630-z'


 

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

148 TRIPLES      21 PREDICATES      51 URIs      16 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s12649-019-00630-z schema:about anzsrc-for:09
2 anzsrc-for:0907
3 schema:author N5915fac8a89249148e91a44424710697
4 schema:citation sg:pub.10.1007/s002530050928
5 https://doi.org/10.1016/j.biortech.2004.05.005
6 https://doi.org/10.1016/j.biortech.2006.11.043
7 https://doi.org/10.1016/j.biortech.2008.11.051
8 https://doi.org/10.1016/j.biortech.2010.07.122
9 https://doi.org/10.1016/j.biortech.2011.07.096
10 https://doi.org/10.1016/j.biortech.2011.11.024
11 https://doi.org/10.1016/j.biortech.2013.08.038
12 https://doi.org/10.1016/j.biortech.2016.05.113
13 https://doi.org/10.1016/j.biortech.2017.09.020
14 https://doi.org/10.1016/j.biortech.2018.04.006
15 https://doi.org/10.1016/j.jenvman.2012.03.043
16 https://doi.org/10.1016/j.jenvman.2016.11.058
17 https://doi.org/10.1016/j.jfoodeng.2006.09.024
18 https://doi.org/10.1016/j.procbio.2003.11.012
19 https://doi.org/10.1016/j.rser.2014.07.011
20 https://doi.org/10.1016/j.wasman.2012.04.016
21 https://doi.org/10.1016/j.wasman.2016.01.041
22 https://doi.org/10.1016/j.wasman.2016.10.028
23 https://doi.org/10.1016/j.wasman.2017.06.029
24 https://doi.org/10.1016/j.wasman.2017.09.040
25 https://doi.org/10.1016/j.wasman.2018.09.011
26 https://doi.org/10.1016/j.watres.2012.04.028
27 https://doi.org/10.1080/03067310412331303217
28 https://doi.org/10.1111/wej.12130
29 https://doi.org/10.2105/ajph.56.3.387
30 https://doi.org/10.2166/wst.2000.0079
31 schema:datePublished 2019-02-27
32 schema:datePublishedReg 2019-02-27
33 schema:description An experimental design was proposed to test the influence of three parameters on the performance of food waste (FW) dry anaerobic digestion (AD) coupled with aerobic pre-treatment: (1) the type of aerobic pre-treatment (no pre-treatment/dynamic aeration/static storage); (2) the composition of FW (paper/no paper) and (3) the frequency of leachate recirculation in the batch leach bed reactor (LBR) used as dry AD process. Performance of AD was assessed by measuring pH, VFA, biogas production and by modelling the kinetics of methane production using modified Gompertz equation. A statistical analysis of variance showed that AD leachate recirculation condition was the most impacting parameter on methane production. A high production of VFA was noticed (~ 25 gDCO·L−1) that did not lead to inhibition due to high buffer capacity of inoculum (5.2 gN-NH4+·L−1). 80% of the biomethane potential was reached in the batch test with a daily leachate recirculation and with FW without paper. According to simulations, an experimental duration of 31–32 days showed to be optimal to reach 90% of degradation potential under these LBR conditions. A lower frequency of leachate recirculation or the addition of paper decreased methane production. The introduction of a two-day aeration step stabilized the production of VFA along the digestion process and enhanced the methane production on FW with paper. Conversely a two-day storage step induced a rapid acidification and a subsequent significant decrease of methane production rate.
34 schema:genre research_article
35 schema:inLanguage en
36 schema:isAccessibleForFree false
37 schema:isPartOf sg:journal.1052653
38 schema:name Performance of Coupling an Aerobic Pre-treatment Prior to a Solid-State Anaerobic Digestion of Food Waste
39 schema:pagination 1-12
40 schema:productId Nbc05750896f940b3a5989bf8451b1a09
41 Nd89903c7de8d42818fdbad31e1b2b854
42 Nef1a335249164b9b9975828e81bee7a4
43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112433145
44 https://doi.org/10.1007/s12649-019-00630-z
45 schema:sdDatePublished 2019-04-11T10:21
46 schema:sdLicense https://scigraph.springernature.com/explorer/license/
47 schema:sdPublisher Ndf5a83c4d10b45d7bc14fb8dbaae4110
48 schema:url https://link.springer.com/10.1007%2Fs12649-019-00630-z
49 sgo:license sg:explorer/license/
50 sgo:sdDataset articles
51 rdf:type schema:ScholarlyArticle
52 N385d400a71e44d3d8e06f1936bf33b00 schema:affiliation https://www.grid.ac/institutes/grid.48142.3b
53 schema:familyName Tremier
54 schema:givenName Anne
55 rdf:type schema:Person
56 N5915fac8a89249148e91a44424710697 rdf:first N9c25424c3d76476cb625afab12c95c88
57 rdf:rest N7c71245f8ec843efac528dbad3abdd81
58 N7c71245f8ec843efac528dbad3abdd81 rdf:first Nc039030b9c29467498eeb3c38e209665
59 rdf:rest Nab2c8ae23c3c4029907338fcbbf12796
60 N9c25424c3d76476cb625afab12c95c88 schema:affiliation https://www.grid.ac/institutes/grid.48142.3b
61 schema:familyName Fisgativa
62 schema:givenName Henry
63 rdf:type schema:Person
64 Nab2c8ae23c3c4029907338fcbbf12796 rdf:first N385d400a71e44d3d8e06f1936bf33b00
65 rdf:rest rdf:nil
66 Nbc05750896f940b3a5989bf8451b1a09 schema:name dimensions_id
67 schema:value pub.1112433145
68 rdf:type schema:PropertyValue
69 Nc039030b9c29467498eeb3c38e209665 schema:affiliation https://www.grid.ac/institutes/grid.48142.3b
70 schema:familyName Debled
71 schema:givenName Marie
72 rdf:type schema:Person
73 Nd89903c7de8d42818fdbad31e1b2b854 schema:name readcube_id
74 schema:value 0984a5af1481a4d587a06cf5c5349a17491633f5918355199143264552b698fb
75 rdf:type schema:PropertyValue
76 Ndf5a83c4d10b45d7bc14fb8dbaae4110 schema:name Springer Nature - SN SciGraph project
77 rdf:type schema:Organization
78 Nef1a335249164b9b9975828e81bee7a4 schema:name doi
79 schema:value 10.1007/s12649-019-00630-z
80 rdf:type schema:PropertyValue
81 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
82 schema:name Engineering
83 rdf:type schema:DefinedTerm
84 anzsrc-for:0907 schema:inDefinedTermSet anzsrc-for:
85 schema:name Environmental Engineering
86 rdf:type schema:DefinedTerm
87 sg:journal.1052653 schema:issn 1877-2641
88 1877-265X
89 schema:name Waste and Biomass Valorization
90 rdf:type schema:Periodical
91 sg:pub.10.1007/s002530050928 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011346560
92 https://doi.org/10.1007/s002530050928
93 rdf:type schema:CreativeWork
94 https://doi.org/10.1016/j.biortech.2004.05.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041692321
95 rdf:type schema:CreativeWork
96 https://doi.org/10.1016/j.biortech.2006.11.043 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013271960
97 rdf:type schema:CreativeWork
98 https://doi.org/10.1016/j.biortech.2008.11.051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014687122
99 rdf:type schema:CreativeWork
100 https://doi.org/10.1016/j.biortech.2010.07.122 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003740447
101 rdf:type schema:CreativeWork
102 https://doi.org/10.1016/j.biortech.2011.07.096 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032689165
103 rdf:type schema:CreativeWork
104 https://doi.org/10.1016/j.biortech.2011.11.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006448192
105 rdf:type schema:CreativeWork
106 https://doi.org/10.1016/j.biortech.2013.08.038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009219672
107 rdf:type schema:CreativeWork
108 https://doi.org/10.1016/j.biortech.2016.05.113 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008202884
109 rdf:type schema:CreativeWork
110 https://doi.org/10.1016/j.biortech.2017.09.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091530311
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1016/j.biortech.2018.04.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103186804
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1016/j.jenvman.2012.03.043 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032354947
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1016/j.jenvman.2016.11.058 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042790097
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1016/j.jfoodeng.2006.09.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031052432
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1016/j.procbio.2003.11.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038395469
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1016/j.rser.2014.07.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043203395
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1016/j.wasman.2012.04.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026134217
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1016/j.wasman.2016.01.041 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047327992
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1016/j.wasman.2016.10.028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012891723
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1016/j.wasman.2017.06.029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090284567
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1016/j.wasman.2017.09.040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092131037
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1016/j.wasman.2018.09.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106882052
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1016/j.watres.2012.04.028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012989632
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1080/03067310412331303217 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016893234
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1111/wej.12130 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039841992
141 rdf:type schema:CreativeWork
142 https://doi.org/10.2105/ajph.56.3.387 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068864381
143 rdf:type schema:CreativeWork
144 https://doi.org/10.2166/wst.2000.0079 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074827384
145 rdf:type schema:CreativeWork
146 https://www.grid.ac/institutes/grid.48142.3b schema:alternateName National Research Institute of Science and Technology for Environment and Agriculture
147 schema:name Irstea, UR OPAALE, 17 avenue de Cucillé, CS 64427, 35044, Rennes Cedex, France
148 rdf:type schema:Organization
 




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


...