Influence of aeration intensity on mature aerobic granules in sequencing batch reactor View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-05

AUTHORS

Da-Wen Gao, Lin Liu, Hong Liang

ABSTRACT

Aeration intensity is well known as an important factor in the formation of aerobic granules. In this research, two identical lab-scale sequencing batch reactors with aeration intensity of 0.8 (R1) and 0.2 m(3)/h (R2) were operated to investigate the characteristics and kinetics of matured aerobic granules. Results showed that both aeration intensity conditions induced granulation, but they showed different effects on the characteristics of aerobic granules. Compared with the low aeration intensity (R2), the aerobic granules under the higher aeration intensity (R1) had better physical characteristics and settling ability. However, the observed biomass yield (Y obs) in R1 [0.673 kg mixed liquor volatile suspended solids (MLVSS)/kg chemical oxygen demand (COD)] was lower than R2 (0.749 kg MLVSS/kg COD). In addition, the maximum specific COD removal rates (q max) and apparent half rate constant (K) of mature aerobic granular sludge under the two aeration intensities were at a similar level. Therefore, the matured aerobic granule system does not require to be operated in a higher aeration intensity, which will reduce the energy consumption. More... »

PAGES

4213-4219

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00253-012-4226-6

DOI

http://dx.doi.org/10.1007/s00253-012-4226-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1037951099

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/22752241


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/2008/0915", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Interdisciplinary 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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aerobiosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biological Oxygen Demand Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Bioreactors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Oxygen", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sewage", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Waste Disposal, Fluid", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Harbin Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.19373.3f", 
          "name": [
            "School of Forestry, Northeast Forestry University, Hexing Road 26, 150040, Harbin, Heilongjiang Province, People\u2019s Republic of China", 
            "State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, 150090, Harbin, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gao", 
        "givenName": "Da-Wen", 
        "id": "sg:person.0624111531.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0624111531.58"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chinese Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.9227.e", 
          "name": [
            "Key Laboratory of Urban Environment and Health Institute of Urban Environment, Chinese Academy of Sciences, 361021, Xiamen, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liu", 
        "givenName": "Lin", 
        "id": "sg:person.01352170434.14", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01352170434.14"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Northeast Forestry University", 
          "id": "https://www.grid.ac/institutes/grid.412246.7", 
          "name": [
            "School of Forestry, Northeast Forestry University, Hexing Road 26, 150040, Harbin, Heilongjiang Province, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liang", 
        "givenName": "Hong", 
        "id": "sg:person.01261243676.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01261243676.23"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00253-007-1125-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000145823", 
          "https://doi.org/10.1007/s00253-007-1125-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00253-007-1125-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000145823", 
          "https://doi.org/10.1007/s00253-007-1125-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhazmat.2007.11.058", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005410953"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00253-007-1085-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005671234", 
          "https://doi.org/10.1007/s00253-007-1085-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00253-007-1085-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005671234", 
          "https://doi.org/10.1007/s00253-007-1085-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.enzmictec.2007.05.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017454430"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biotechadv.2009.05.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018969198"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.watres.2007.10.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020728098"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cej.2008.06.037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021012686"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1472-765x.2005.01695.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025598154"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00253-008-1466-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026827526", 
          "https://doi.org/10.1007/s00253-008-1466-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00253-008-1466-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026827526", 
          "https://doi.org/10.1007/s00253-008-1466-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00253-010-2950-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029547828", 
          "https://doi.org/10.1007/s00253-010-2950-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0043-1354(86)90142-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031170463"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0043-1354(86)90142-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031170463"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s002530100766", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031539306", 
          "https://doi.org/10.1007/s002530100766"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.watres.2005.04.065", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036285051"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.enzmictec.2008.04.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036441367"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/09593332308618363", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038288968"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.enzmictec.2007.04.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039337622"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bej.2005.06.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039907387"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bej.2005.06.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039907387"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhazmat.2010.11.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040753218"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bej.2009.12.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041919042"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.procbio.2004.01.056", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045241342"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bit.260191204", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047889463"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0273-1223(99)00602-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054639335"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac60111a017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055031436"
        ], 
        "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://app.dimensions.ai/details/publication/pub.1076750128", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2166/wst.2004.0798", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1076877069"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2166/wst.1999.0371", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104101586"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-05", 
    "datePublishedReg": "2013-05-01", 
    "description": "Aeration intensity is well known as an important factor in the formation of aerobic granules. In this research, two identical lab-scale sequencing batch reactors with aeration intensity of 0.8 (R1) and 0.2 m(3)/h (R2) were operated to investigate the characteristics and kinetics of matured aerobic granules. Results showed that both aeration intensity conditions induced granulation, but they showed different effects on the characteristics of aerobic granules. Compared with the low aeration intensity (R2), the aerobic granules under the higher aeration intensity (R1) had better physical characteristics and settling ability. However, the observed biomass yield (Y obs) in R1 [0.673 kg mixed liquor volatile suspended solids (MLVSS)/kg chemical oxygen demand (COD)] was lower than R2 (0.749 kg MLVSS/kg COD). In addition, the maximum specific COD removal rates (q max) and apparent half rate constant (K) of mature aerobic granular sludge under the two aeration intensities were at a similar level. Therefore, the matured aerobic granule system does not require to be operated in a higher aeration intensity, which will reduce the energy consumption.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00253-012-4226-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.7020194", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1083533", 
        "issn": [
          "0175-7598", 
          "1432-0614"
        ], 
        "name": "Applied Microbiology and Biotechnology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "9", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "97"
      }
    ], 
    "name": "Influence of aeration intensity on mature aerobic granules in sequencing batch reactor", 
    "pagination": "4213-4219", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "b4c9607e3511201426d75bfe1a12e2a4931fd65c24350dd3cf9842ed0d467add"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "22752241"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8406612"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00253-012-4226-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1037951099"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00253-012-4226-6", 
      "https://app.dimensions.ai/details/publication/pub.1037951099"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T00:16", 
    "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_8695_00000514.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs00253-012-4226-6"
  }
]
 

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/s00253-012-4226-6'

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/s00253-012-4226-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00253-012-4226-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00253-012-4226-6'


 

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

201 TRIPLES      21 PREDICATES      62 URIs      27 LITERALS      15 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00253-012-4226-6 schema:about N7f9d244af98b4c79a2c13af466c030aa
2 N9294a49fa2d04f13ab4672c109fbe4ae
3 N9cca583c09f34a0c8850de5083e36a7b
4 Nd82670e51052436fa92cf7abe5700ccf
5 Nd8a91ea0c2c74f9aba404b4bd811c7b8
6 Ne906d5fa6d5e493797dfa09c992f6811
7 anzsrc-for:09
8 anzsrc-for:0915
9 schema:author N2ef0a99a38824ad4b05715a3c7fb6b0f
10 schema:citation sg:pub.10.1007/s00253-007-1085-7
11 sg:pub.10.1007/s00253-007-1125-3
12 sg:pub.10.1007/s00253-008-1466-6
13 sg:pub.10.1007/s00253-010-2950-3
14 sg:pub.10.1007/s002530100766
15 https://app.dimensions.ai/details/publication/pub.1076750128
16 https://doi.org/10.1002/bit.260191204
17 https://doi.org/10.1016/0043-1354(86)90142-9
18 https://doi.org/10.1016/j.bej.2005.06.012
19 https://doi.org/10.1016/j.bej.2009.12.009
20 https://doi.org/10.1016/j.biotechadv.2009.05.020
21 https://doi.org/10.1016/j.cej.2008.06.037
22 https://doi.org/10.1016/j.enzmictec.2007.04.005
23 https://doi.org/10.1016/j.enzmictec.2007.05.001
24 https://doi.org/10.1016/j.enzmictec.2008.04.005
25 https://doi.org/10.1016/j.jhazmat.2007.11.058
26 https://doi.org/10.1016/j.jhazmat.2010.11.006
27 https://doi.org/10.1016/j.procbio.2004.01.056
28 https://doi.org/10.1016/j.watres.2005.04.065
29 https://doi.org/10.1016/j.watres.2007.10.013
30 https://doi.org/10.1016/s0273-1223(99)00602-2
31 https://doi.org/10.1021/ac60111a017
32 https://doi.org/10.1080/09593332308618363
33 https://doi.org/10.1111/j.1472-765x.2005.01695.x
34 https://doi.org/10.2105/ajph.56.3.387
35 https://doi.org/10.2166/wst.1999.0371
36 https://doi.org/10.2166/wst.2004.0798
37 schema:datePublished 2013-05
38 schema:datePublishedReg 2013-05-01
39 schema:description Aeration intensity is well known as an important factor in the formation of aerobic granules. In this research, two identical lab-scale sequencing batch reactors with aeration intensity of 0.8 (R1) and 0.2 m(3)/h (R2) were operated to investigate the characteristics and kinetics of matured aerobic granules. Results showed that both aeration intensity conditions induced granulation, but they showed different effects on the characteristics of aerobic granules. Compared with the low aeration intensity (R2), the aerobic granules under the higher aeration intensity (R1) had better physical characteristics and settling ability. However, the observed biomass yield (Y obs) in R1 [0.673 kg mixed liquor volatile suspended solids (MLVSS)/kg chemical oxygen demand (COD)] was lower than R2 (0.749 kg MLVSS/kg COD). In addition, the maximum specific COD removal rates (q max) and apparent half rate constant (K) of mature aerobic granular sludge under the two aeration intensities were at a similar level. Therefore, the matured aerobic granule system does not require to be operated in a higher aeration intensity, which will reduce the energy consumption.
40 schema:genre research_article
41 schema:inLanguage en
42 schema:isAccessibleForFree false
43 schema:isPartOf N326848ee983e423796b27a30d83f59e9
44 Nf63026c526f24e70a26d0e4384946b2b
45 sg:journal.1083533
46 schema:name Influence of aeration intensity on mature aerobic granules in sequencing batch reactor
47 schema:pagination 4213-4219
48 schema:productId N0fed3f78be02449c9600f625699dedff
49 N302e185e141c49e8baafab7d8d2c528d
50 N61989187c9dc43629e219a4b37ed36c7
51 Ne1a12e8a13024149a321d3c622d31888
52 Nf05a6b600eac4931bf60108658e53c99
53 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037951099
54 https://doi.org/10.1007/s00253-012-4226-6
55 schema:sdDatePublished 2019-04-11T00:16
56 schema:sdLicense https://scigraph.springernature.com/explorer/license/
57 schema:sdPublisher Nc57b4f5b80e342e4bb6cd623baf33116
58 schema:url http://link.springer.com/10.1007%2Fs00253-012-4226-6
59 sgo:license sg:explorer/license/
60 sgo:sdDataset articles
61 rdf:type schema:ScholarlyArticle
62 N0fed3f78be02449c9600f625699dedff schema:name dimensions_id
63 schema:value pub.1037951099
64 rdf:type schema:PropertyValue
65 N2ef0a99a38824ad4b05715a3c7fb6b0f rdf:first sg:person.0624111531.58
66 rdf:rest N4797583dff744f8bb392f3d15efec10e
67 N302e185e141c49e8baafab7d8d2c528d schema:name doi
68 schema:value 10.1007/s00253-012-4226-6
69 rdf:type schema:PropertyValue
70 N326848ee983e423796b27a30d83f59e9 schema:issueNumber 9
71 rdf:type schema:PublicationIssue
72 N4797583dff744f8bb392f3d15efec10e rdf:first sg:person.01352170434.14
73 rdf:rest N8d95aa17faaa4adf9bf717ccfb056b53
74 N61989187c9dc43629e219a4b37ed36c7 schema:name nlm_unique_id
75 schema:value 8406612
76 rdf:type schema:PropertyValue
77 N7f9d244af98b4c79a2c13af466c030aa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
78 schema:name Oxygen
79 rdf:type schema:DefinedTerm
80 N8d95aa17faaa4adf9bf717ccfb056b53 rdf:first sg:person.01261243676.23
81 rdf:rest rdf:nil
82 N9294a49fa2d04f13ab4672c109fbe4ae schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
83 schema:name Biological Oxygen Demand Analysis
84 rdf:type schema:DefinedTerm
85 N9cca583c09f34a0c8850de5083e36a7b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
86 schema:name Bioreactors
87 rdf:type schema:DefinedTerm
88 Nc57b4f5b80e342e4bb6cd623baf33116 schema:name Springer Nature - SN SciGraph project
89 rdf:type schema:Organization
90 Nd82670e51052436fa92cf7abe5700ccf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
91 schema:name Waste Disposal, Fluid
92 rdf:type schema:DefinedTerm
93 Nd8a91ea0c2c74f9aba404b4bd811c7b8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Aerobiosis
95 rdf:type schema:DefinedTerm
96 Ne1a12e8a13024149a321d3c622d31888 schema:name readcube_id
97 schema:value b4c9607e3511201426d75bfe1a12e2a4931fd65c24350dd3cf9842ed0d467add
98 rdf:type schema:PropertyValue
99 Ne906d5fa6d5e493797dfa09c992f6811 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Sewage
101 rdf:type schema:DefinedTerm
102 Nf05a6b600eac4931bf60108658e53c99 schema:name pubmed_id
103 schema:value 22752241
104 rdf:type schema:PropertyValue
105 Nf63026c526f24e70a26d0e4384946b2b schema:volumeNumber 97
106 rdf:type schema:PublicationVolume
107 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
108 schema:name Engineering
109 rdf:type schema:DefinedTerm
110 anzsrc-for:0915 schema:inDefinedTermSet anzsrc-for:
111 schema:name Interdisciplinary Engineering
112 rdf:type schema:DefinedTerm
113 sg:grant.7020194 http://pending.schema.org/fundedItem sg:pub.10.1007/s00253-012-4226-6
114 rdf:type schema:MonetaryGrant
115 sg:journal.1083533 schema:issn 0175-7598
116 1432-0614
117 schema:name Applied Microbiology and Biotechnology
118 rdf:type schema:Periodical
119 sg:person.01261243676.23 schema:affiliation https://www.grid.ac/institutes/grid.412246.7
120 schema:familyName Liang
121 schema:givenName Hong
122 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01261243676.23
123 rdf:type schema:Person
124 sg:person.01352170434.14 schema:affiliation https://www.grid.ac/institutes/grid.9227.e
125 schema:familyName Liu
126 schema:givenName Lin
127 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01352170434.14
128 rdf:type schema:Person
129 sg:person.0624111531.58 schema:affiliation https://www.grid.ac/institutes/grid.19373.3f
130 schema:familyName Gao
131 schema:givenName Da-Wen
132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0624111531.58
133 rdf:type schema:Person
134 sg:pub.10.1007/s00253-007-1085-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005671234
135 https://doi.org/10.1007/s00253-007-1085-7
136 rdf:type schema:CreativeWork
137 sg:pub.10.1007/s00253-007-1125-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000145823
138 https://doi.org/10.1007/s00253-007-1125-3
139 rdf:type schema:CreativeWork
140 sg:pub.10.1007/s00253-008-1466-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026827526
141 https://doi.org/10.1007/s00253-008-1466-6
142 rdf:type schema:CreativeWork
143 sg:pub.10.1007/s00253-010-2950-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029547828
144 https://doi.org/10.1007/s00253-010-2950-3
145 rdf:type schema:CreativeWork
146 sg:pub.10.1007/s002530100766 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031539306
147 https://doi.org/10.1007/s002530100766
148 rdf:type schema:CreativeWork
149 https://app.dimensions.ai/details/publication/pub.1076750128 schema:CreativeWork
150 https://doi.org/10.1002/bit.260191204 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047889463
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1016/0043-1354(86)90142-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031170463
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1016/j.bej.2005.06.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039907387
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/j.bej.2009.12.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041919042
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1016/j.biotechadv.2009.05.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018969198
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1016/j.cej.2008.06.037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021012686
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1016/j.enzmictec.2007.04.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039337622
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1016/j.enzmictec.2007.05.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017454430
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1016/j.enzmictec.2008.04.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036441367
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1016/j.jhazmat.2007.11.058 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005410953
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1016/j.jhazmat.2010.11.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040753218
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1016/j.procbio.2004.01.056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045241342
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1016/j.watres.2005.04.065 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036285051
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1016/j.watres.2007.10.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020728098
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1016/s0273-1223(99)00602-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054639335
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1021/ac60111a017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055031436
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1080/09593332308618363 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038288968
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1111/j.1472-765x.2005.01695.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1025598154
185 rdf:type schema:CreativeWork
186 https://doi.org/10.2105/ajph.56.3.387 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068864381
187 rdf:type schema:CreativeWork
188 https://doi.org/10.2166/wst.1999.0371 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104101586
189 rdf:type schema:CreativeWork
190 https://doi.org/10.2166/wst.2004.0798 schema:sameAs https://app.dimensions.ai/details/publication/pub.1076877069
191 rdf:type schema:CreativeWork
192 https://www.grid.ac/institutes/grid.19373.3f schema:alternateName Harbin Institute of Technology
193 schema:name School of Forestry, Northeast Forestry University, Hexing Road 26, 150040, Harbin, Heilongjiang Province, People’s Republic of China
194 State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, 150090, Harbin, China
195 rdf:type schema:Organization
196 https://www.grid.ac/institutes/grid.412246.7 schema:alternateName Northeast Forestry University
197 schema:name School of Forestry, Northeast Forestry University, Hexing Road 26, 150040, Harbin, Heilongjiang Province, People’s Republic of China
198 rdf:type schema:Organization
199 https://www.grid.ac/institutes/grid.9227.e schema:alternateName Chinese Academy of Sciences
200 schema:name Key Laboratory of Urban Environment and Health Institute of Urban Environment, Chinese Academy of Sciences, 361021, Xiamen, China
201 rdf:type schema:Organization
 




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


...