Biochemical methane potential of microalgae biomass using different microbial inocula View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Cristina Gonzalez-Fernandez, Santiago Barreiro-Vescovo, Ignacio de Godos, Maikel Fernandez, Arbib Zouhayr, Mercedes Ballesteros

ABSTRACT

Background: Microalgae biomass is regarded as a potential feedstock for bioenergy purposes through anaerobic digestion (AD). Even though AD is a well-proven technology, the use of new feedstocks requires in-depth studies. A lot of research has been conducted assessing methane yield without paying attention to the anaerobic microbiome and their activities. For such a goal, the present investigation was designed to link methane yield to those two later sludge characteristics. In this sense, different anaerobic sources were tested, namely adapted to microalgae biomass and adapted to sewage sludge. Results: Despite the registered differences for the anaerobic microbiome analysis and specific methane activities towards model substrates, sludge adapted to digest sewage sludge did not affect the methane yield of Chlorella sorokiniana and Scenedesmus sp. Opposite to that, sludge samples adapted to digest microalgae exhibited a concomitant increase in methane yield together with increasing digestion temperatures. More specifically, the values attained were 63.4 ± 1.5, 79.2 ± 3.1 and 108.2 ± 1.9 mL CH4 g COD in-1 for psychrophilic, mesophilic and thermophilic digestions, respectively. While psycro- and mesophilic digestion supported similar yields (most probably linked to their anaerobic microbiome resemblance), the values attained for thermophilic digestion evidenced the usefulness of having a highly specific microbiome. The relative abundance of Firmicutes, particularly Clostridia, and Proteobacteria together with an important abundance of hydrogenotrophic methanogens was highlighted in this inoculum. Conclusion: Overall, this study showed that working with tailored anaerobic microbiome could help avoiding pretreatments devoted to methane yield enhancement. More... »

PAGES

184

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s13068-018-1188-7

DOI

http://dx.doi.org/10.1186/s13068-018-1188-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1105214825

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29988471


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": "Madrid Institute for Advanced Studies", 
          "id": "https://www.grid.ac/institutes/grid.429045.e", 
          "name": [
            "Biotechnological Processes Unit, IMDEA Energy, Madrid, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gonzalez-Fernandez", 
        "givenName": "Cristina", 
        "id": "sg:person.01010246031.66", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01010246031.66"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Madrid Institute for Advanced Studies", 
          "id": "https://www.grid.ac/institutes/grid.429045.e", 
          "name": [
            "Biotechnological Processes Unit, IMDEA Energy, Madrid, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Barreiro-Vescovo", 
        "givenName": "Santiago", 
        "id": "sg:person.011141112554.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011141112554.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Madrid Institute for Advanced Studies", 
          "id": "https://www.grid.ac/institutes/grid.429045.e", 
          "name": [
            "Biotechnological Processes Unit, IMDEA Energy, Madrid, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "de Godos", 
        "givenName": "Ignacio", 
        "id": "sg:person.0662300565.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0662300565.86"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Aqualia Gesti\u00f3n Integral del Agua SA, Madrid, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fernandez", 
        "givenName": "Maikel", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Aqualia Gesti\u00f3n Integral del Agua SA, Madrid, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zouhayr", 
        "givenName": "Arbib", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centro de Investigaciones Energ\u00e9ticas, Medioambientales y Tecnol\u00f3gicas", 
          "id": "https://www.grid.ac/institutes/grid.420019.e", 
          "name": [
            "Biotechnological Processes Unit, IMDEA Energy, Madrid, Spain", 
            "Biofuels Unit, CIEMAT, Madrid, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ballesteros", 
        "givenName": "Mercedes", 
        "id": "sg:person.01002376255.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01002376255.07"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1128/aem.72.1.449-456.2006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001834451"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/0-387-30747-8_38", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003014574", 
          "https://doi.org/10.1007/0-387-30747-8_38"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2014.08.114", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005831059"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0043-1354(69)90020-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007936582"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0043-1354(69)90020-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007936582"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2014.10.126", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009857737"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.apenergy.2014.04.110", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012155743"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.copbio.2010.03.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016742372"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11157-004-2502-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021284802", 
          "https://doi.org/10.1007/s11157-004-2502-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gks808", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023917098"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13068-016-0581-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024208422", 
          "https://doi.org/10.1186/s13068-016-0581-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13068-016-0581-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024208422", 
          "https://doi.org/10.1186/s13068-016-0581-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1472-6750-14-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024358057", 
          "https://doi.org/10.1186/1472-6750-14-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.renene.2016.12.052", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025825248"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jece.2015.11.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026952077"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jbiotec.2015.06.396", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027870790"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.fuel.2013.09.032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028004039"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.watres.2014.07.040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028061231"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4615-2391-8_2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028139005", 
          "https://doi.org/10.1007/978-1-4615-2391-8_2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.wasman.2012.08.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028307432"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.apenergy.2013.02.042", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029863858"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2015.03.098", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031682096"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.apenergy.2011.08.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031859268"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ismej.2009.2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032031594", 
          "https://doi.org/10.1038/ismej.2009.2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2014.08.091", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033163954"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.copbio.2011.10.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034761947"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biombioe.2012.02.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034947892"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1574-6941.2006.00251.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036949970"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.renene.2016.01.090", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037157226"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ismej.2016.39", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039265019", 
          "https://doi.org/10.1038/ismej.2016.39"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2015.01.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039492346"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2015.01.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039492346"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2015.01.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039492346"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2015.01.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039492346"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.copbio.2015.01.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039887491"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bbb.337", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041867388"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2014.02.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043509222"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11157-008-9131-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043996298", 
          "https://doi.org/10.1007/s11157-008-9131-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.72.1.811-818.2006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045686846"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chemosphere.2016.10.109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046261002"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0580-9517(08)70036-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047339283"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/1751-7915.12268", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053176003"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2015.09.095", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053359028"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac60111a017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055031436"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2166/wst.2009.040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069143089"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082762985", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.algal.2017.09.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091504808"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.algal.2017.09.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101128107"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.algal.2017.09.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101128107"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.algal.2017.09.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101128107"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.algal.2017.09.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101128107"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2166/wst.1991.0217", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104112481"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "Background: Microalgae biomass is regarded as a potential feedstock for bioenergy purposes through anaerobic digestion (AD). Even though AD is a well-proven technology, the use of new feedstocks requires in-depth studies. A lot of research has been conducted assessing methane yield without paying attention to the anaerobic microbiome and their activities. For such a goal, the present investigation was designed to link methane yield to those two later sludge characteristics. In this sense, different anaerobic sources were tested, namely adapted to microalgae biomass and adapted to sewage sludge.\nResults: Despite the registered differences for the anaerobic microbiome analysis and specific methane activities towards model substrates, sludge adapted to digest sewage sludge did not affect the methane yield of Chlorella sorokiniana and Scenedesmus sp. Opposite to that, sludge samples adapted to digest microalgae exhibited a concomitant increase in methane yield together with increasing digestion temperatures. More specifically, the values attained were 63.4\u2009\u00b1\u20091.5, 79.2\u2009\u00b1\u20093.1 and 108.2\u2009\u00b1\u20091.9\u00a0mL CH4 g COD in-1 for psychrophilic, mesophilic and thermophilic digestions, respectively. While psycro- and mesophilic digestion supported similar yields (most probably linked to their anaerobic microbiome resemblance), the values attained for thermophilic digestion evidenced the usefulness of having a highly specific microbiome. The relative abundance of Firmicutes, particularly Clostridia, and Proteobacteria together with an important abundance of hydrogenotrophic methanogens was highlighted in this inoculum.\nConclusion: Overall, this study showed that working with tailored anaerobic microbiome could help avoiding pretreatments devoted to methane yield enhancement.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s13068-018-1188-7", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1039046", 
        "issn": [
          "1754-6834"
        ], 
        "name": "Biotechnology for Biofuels", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "11"
      }
    ], 
    "name": "Biochemical methane potential of microalgae biomass using different microbial inocula", 
    "pagination": "184", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "74eb583cb54ad2bbf1aa8a84cfa3a409fd41f068650b7905b046bcd63ce84a77"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29988471"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101316935"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s13068-018-1188-7"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1105214825"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s13068-018-1188-7", 
      "https://app.dimensions.ai/details/publication/pub.1105214825"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T00:26", 
    "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_00000571.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs13068-018-1188-7"
  }
]
 

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.10.1186/s13068-018-1188-7'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s13068-018-1188-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13068-018-1188-7'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13068-018-1188-7'


 

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

248 TRIPLES      21 PREDICATES      73 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s13068-018-1188-7 schema:about anzsrc-for:09
2 anzsrc-for:0907
3 schema:author N36b1d9d7f8324f9695e40db7d3391b9f
4 schema:citation sg:pub.10.1007/0-387-30747-8_38
5 sg:pub.10.1007/978-1-4615-2391-8_2
6 sg:pub.10.1007/s11157-004-2502-3
7 sg:pub.10.1007/s11157-008-9131-1
8 sg:pub.10.1038/ismej.2009.2
9 sg:pub.10.1038/ismej.2016.39
10 sg:pub.10.1186/1472-6750-14-7
11 sg:pub.10.1186/s13068-016-0581-3
12 https://app.dimensions.ai/details/publication/pub.1082762985
13 https://doi.org/10.1002/bbb.337
14 https://doi.org/10.1016/0043-1354(69)90020-7
15 https://doi.org/10.1016/j.algal.2017.09.002
16 https://doi.org/10.1016/j.algal.2017.09.010
17 https://doi.org/10.1016/j.apenergy.2011.08.017
18 https://doi.org/10.1016/j.apenergy.2013.02.042
19 https://doi.org/10.1016/j.apenergy.2014.04.110
20 https://doi.org/10.1016/j.biombioe.2012.02.008
21 https://doi.org/10.1016/j.biortech.2014.02.011
22 https://doi.org/10.1016/j.biortech.2014.08.091
23 https://doi.org/10.1016/j.biortech.2014.08.114
24 https://doi.org/10.1016/j.biortech.2014.10.126
25 https://doi.org/10.1016/j.biortech.2015.01.005
26 https://doi.org/10.1016/j.biortech.2015.03.098
27 https://doi.org/10.1016/j.biortech.2015.09.095
28 https://doi.org/10.1016/j.chemosphere.2016.10.109
29 https://doi.org/10.1016/j.copbio.2010.03.008
30 https://doi.org/10.1016/j.copbio.2011.10.008
31 https://doi.org/10.1016/j.copbio.2015.01.008
32 https://doi.org/10.1016/j.fuel.2013.09.032
33 https://doi.org/10.1016/j.jbiotec.2015.06.396
34 https://doi.org/10.1016/j.jece.2015.11.003
35 https://doi.org/10.1016/j.renene.2016.01.090
36 https://doi.org/10.1016/j.renene.2016.12.052
37 https://doi.org/10.1016/j.wasman.2012.08.006
38 https://doi.org/10.1016/j.watres.2014.07.040
39 https://doi.org/10.1016/s0580-9517(08)70036-9
40 https://doi.org/10.1021/ac60111a017
41 https://doi.org/10.1093/nar/gks808
42 https://doi.org/10.1111/1751-7915.12268
43 https://doi.org/10.1111/j.1574-6941.2006.00251.x
44 https://doi.org/10.1128/aem.72.1.449-456.2006
45 https://doi.org/10.1128/aem.72.1.811-818.2006
46 https://doi.org/10.2166/wst.1991.0217
47 https://doi.org/10.2166/wst.2009.040
48 schema:datePublished 2018-12
49 schema:datePublishedReg 2018-12-01
50 schema:description Background: Microalgae biomass is regarded as a potential feedstock for bioenergy purposes through anaerobic digestion (AD). Even though AD is a well-proven technology, the use of new feedstocks requires in-depth studies. A lot of research has been conducted assessing methane yield without paying attention to the anaerobic microbiome and their activities. For such a goal, the present investigation was designed to link methane yield to those two later sludge characteristics. In this sense, different anaerobic sources were tested, namely adapted to microalgae biomass and adapted to sewage sludge. Results: Despite the registered differences for the anaerobic microbiome analysis and specific methane activities towards model substrates, sludge adapted to digest sewage sludge did not affect the methane yield of Chlorella sorokiniana and Scenedesmus sp. Opposite to that, sludge samples adapted to digest microalgae exhibited a concomitant increase in methane yield together with increasing digestion temperatures. More specifically, the values attained were 63.4 ± 1.5, 79.2 ± 3.1 and 108.2 ± 1.9 mL CH4 g COD in-1 for psychrophilic, mesophilic and thermophilic digestions, respectively. While psycro- and mesophilic digestion supported similar yields (most probably linked to their anaerobic microbiome resemblance), the values attained for thermophilic digestion evidenced the usefulness of having a highly specific microbiome. The relative abundance of Firmicutes, particularly Clostridia, and Proteobacteria together with an important abundance of hydrogenotrophic methanogens was highlighted in this inoculum. Conclusion: Overall, this study showed that working with tailored anaerobic microbiome could help avoiding pretreatments devoted to methane yield enhancement.
51 schema:genre research_article
52 schema:inLanguage en
53 schema:isAccessibleForFree true
54 schema:isPartOf N9a7960469e1f4974ae267f062a069b7a
55 Nb34a89e3456e43b4b9a0faf1cd118620
56 sg:journal.1039046
57 schema:name Biochemical methane potential of microalgae biomass using different microbial inocula
58 schema:pagination 184
59 schema:productId N25bef9ea27cf4df4b3ed274a6d924bb9
60 N5e1959d842b04ae18c851769b5f3067e
61 N673e5f3792854c01946533766f594824
62 N85a6ae97e34d461fbc404f5eeeb686d2
63 Na1f9c34d7fa2467eb73e4df30f2ddd81
64 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105214825
65 https://doi.org/10.1186/s13068-018-1188-7
66 schema:sdDatePublished 2019-04-11T00:26
67 schema:sdLicense https://scigraph.springernature.com/explorer/license/
68 schema:sdPublisher N484363956ea34d1cacf0809d8bb81ebb
69 schema:url https://link.springer.com/10.1186%2Fs13068-018-1188-7
70 sgo:license sg:explorer/license/
71 sgo:sdDataset articles
72 rdf:type schema:ScholarlyArticle
73 N14b8a3c06c55451184bc2443012f8d81 rdf:first sg:person.011141112554.04
74 rdf:rest Na42409926c074f819331be29d43ca15e
75 N24cf549a127f4f33971a0171be134332 schema:affiliation N835ceae03f074ec3852bb82db15d2cc3
76 schema:familyName Fernandez
77 schema:givenName Maikel
78 rdf:type schema:Person
79 N25bef9ea27cf4df4b3ed274a6d924bb9 schema:name nlm_unique_id
80 schema:value 101316935
81 rdf:type schema:PropertyValue
82 N36b1d9d7f8324f9695e40db7d3391b9f rdf:first sg:person.01010246031.66
83 rdf:rest N14b8a3c06c55451184bc2443012f8d81
84 N484363956ea34d1cacf0809d8bb81ebb schema:name Springer Nature - SN SciGraph project
85 rdf:type schema:Organization
86 N5e1959d842b04ae18c851769b5f3067e schema:name pubmed_id
87 schema:value 29988471
88 rdf:type schema:PropertyValue
89 N673e5f3792854c01946533766f594824 schema:name readcube_id
90 schema:value 74eb583cb54ad2bbf1aa8a84cfa3a409fd41f068650b7905b046bcd63ce84a77
91 rdf:type schema:PropertyValue
92 N7fd1ca30aa164cdcb925f105d978d8b3 rdf:first N24cf549a127f4f33971a0171be134332
93 rdf:rest N8a23b46d3f61437885278511f1f106d9
94 N835ceae03f074ec3852bb82db15d2cc3 schema:name Aqualia Gestión Integral del Agua SA, Madrid, Spain
95 rdf:type schema:Organization
96 N85a6ae97e34d461fbc404f5eeeb686d2 schema:name dimensions_id
97 schema:value pub.1105214825
98 rdf:type schema:PropertyValue
99 N8a23b46d3f61437885278511f1f106d9 rdf:first Nf31b769c80ca40d9b5b1f8263255bb45
100 rdf:rest Nd4c38393a44e4d96a55f054605723bdd
101 N9a7960469e1f4974ae267f062a069b7a schema:issueNumber 1
102 rdf:type schema:PublicationIssue
103 Na1f9c34d7fa2467eb73e4df30f2ddd81 schema:name doi
104 schema:value 10.1186/s13068-018-1188-7
105 rdf:type schema:PropertyValue
106 Na42409926c074f819331be29d43ca15e rdf:first sg:person.0662300565.86
107 rdf:rest N7fd1ca30aa164cdcb925f105d978d8b3
108 Nb34a89e3456e43b4b9a0faf1cd118620 schema:volumeNumber 11
109 rdf:type schema:PublicationVolume
110 Nd4c38393a44e4d96a55f054605723bdd rdf:first sg:person.01002376255.07
111 rdf:rest rdf:nil
112 Ne869b3f9b60540a388c926563cf67b5a schema:name Aqualia Gestión Integral del Agua SA, Madrid, Spain
113 rdf:type schema:Organization
114 Nf31b769c80ca40d9b5b1f8263255bb45 schema:affiliation Ne869b3f9b60540a388c926563cf67b5a
115 schema:familyName Zouhayr
116 schema:givenName Arbib
117 rdf:type schema:Person
118 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
119 schema:name Engineering
120 rdf:type schema:DefinedTerm
121 anzsrc-for:0907 schema:inDefinedTermSet anzsrc-for:
122 schema:name Environmental Engineering
123 rdf:type schema:DefinedTerm
124 sg:journal.1039046 schema:issn 1754-6834
125 schema:name Biotechnology for Biofuels
126 rdf:type schema:Periodical
127 sg:person.01002376255.07 schema:affiliation https://www.grid.ac/institutes/grid.420019.e
128 schema:familyName Ballesteros
129 schema:givenName Mercedes
130 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01002376255.07
131 rdf:type schema:Person
132 sg:person.01010246031.66 schema:affiliation https://www.grid.ac/institutes/grid.429045.e
133 schema:familyName Gonzalez-Fernandez
134 schema:givenName Cristina
135 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01010246031.66
136 rdf:type schema:Person
137 sg:person.011141112554.04 schema:affiliation https://www.grid.ac/institutes/grid.429045.e
138 schema:familyName Barreiro-Vescovo
139 schema:givenName Santiago
140 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011141112554.04
141 rdf:type schema:Person
142 sg:person.0662300565.86 schema:affiliation https://www.grid.ac/institutes/grid.429045.e
143 schema:familyName de Godos
144 schema:givenName Ignacio
145 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0662300565.86
146 rdf:type schema:Person
147 sg:pub.10.1007/0-387-30747-8_38 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003014574
148 https://doi.org/10.1007/0-387-30747-8_38
149 rdf:type schema:CreativeWork
150 sg:pub.10.1007/978-1-4615-2391-8_2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028139005
151 https://doi.org/10.1007/978-1-4615-2391-8_2
152 rdf:type schema:CreativeWork
153 sg:pub.10.1007/s11157-004-2502-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021284802
154 https://doi.org/10.1007/s11157-004-2502-3
155 rdf:type schema:CreativeWork
156 sg:pub.10.1007/s11157-008-9131-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043996298
157 https://doi.org/10.1007/s11157-008-9131-1
158 rdf:type schema:CreativeWork
159 sg:pub.10.1038/ismej.2009.2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032031594
160 https://doi.org/10.1038/ismej.2009.2
161 rdf:type schema:CreativeWork
162 sg:pub.10.1038/ismej.2016.39 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039265019
163 https://doi.org/10.1038/ismej.2016.39
164 rdf:type schema:CreativeWork
165 sg:pub.10.1186/1472-6750-14-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024358057
166 https://doi.org/10.1186/1472-6750-14-7
167 rdf:type schema:CreativeWork
168 sg:pub.10.1186/s13068-016-0581-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024208422
169 https://doi.org/10.1186/s13068-016-0581-3
170 rdf:type schema:CreativeWork
171 https://app.dimensions.ai/details/publication/pub.1082762985 schema:CreativeWork
172 https://doi.org/10.1002/bbb.337 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041867388
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1016/0043-1354(69)90020-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007936582
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1016/j.algal.2017.09.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091504808
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1016/j.algal.2017.09.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101128107
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1016/j.apenergy.2011.08.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031859268
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1016/j.apenergy.2013.02.042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029863858
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1016/j.apenergy.2014.04.110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012155743
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1016/j.biombioe.2012.02.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034947892
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1016/j.biortech.2014.02.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043509222
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1016/j.biortech.2014.08.091 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033163954
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1016/j.biortech.2014.08.114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005831059
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1016/j.biortech.2014.10.126 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009857737
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1016/j.biortech.2015.01.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039492346
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1016/j.biortech.2015.03.098 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031682096
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1016/j.biortech.2015.09.095 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053359028
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1016/j.chemosphere.2016.10.109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046261002
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1016/j.copbio.2010.03.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016742372
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1016/j.copbio.2011.10.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034761947
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1016/j.copbio.2015.01.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039887491
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1016/j.fuel.2013.09.032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028004039
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1016/j.jbiotec.2015.06.396 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027870790
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1016/j.jece.2015.11.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026952077
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1016/j.renene.2016.01.090 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037157226
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1016/j.renene.2016.12.052 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025825248
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1016/j.wasman.2012.08.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028307432
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1016/j.watres.2014.07.040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028061231
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1016/s0580-9517(08)70036-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047339283
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1021/ac60111a017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055031436
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1093/nar/gks808 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023917098
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1111/1751-7915.12268 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053176003
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1111/j.1574-6941.2006.00251.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1036949970
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1128/aem.72.1.449-456.2006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001834451
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1128/aem.72.1.811-818.2006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045686846
237 rdf:type schema:CreativeWork
238 https://doi.org/10.2166/wst.1991.0217 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104112481
239 rdf:type schema:CreativeWork
240 https://doi.org/10.2166/wst.2009.040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069143089
241 rdf:type schema:CreativeWork
242 https://www.grid.ac/institutes/grid.420019.e schema:alternateName Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
243 schema:name Biofuels Unit, CIEMAT, Madrid, Spain
244 Biotechnological Processes Unit, IMDEA Energy, Madrid, Spain
245 rdf:type schema:Organization
246 https://www.grid.ac/institutes/grid.429045.e schema:alternateName Madrid Institute for Advanced Studies
247 schema:name Biotechnological Processes Unit, IMDEA Energy, Madrid, Spain
248 rdf:type schema:Organization
 




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


...