Understanding of alkaline pretreatment parameters for corn stover enzymatic saccharification View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-01-28

AUTHORS

Ye Chen, Mark A Stevens, Yongming Zhu, Jason Holmes, Hui Xu

ABSTRACT

BackgroundPrevious research on alkaline pretreatment has mainly focused on optimization of the process parameters to improve substrate digestibility. To achieve satisfactory sugar yield, extremely high chemical loading and enzyme dosages were typically used. Relatively little attention has been paid to reduction of chemical consumption and process waste management, which has proven to be an indispensable component of the bio-refineries. To indicate alkali strength, both alkali concentration in pretreatment solution (g alkali/g pretreatment liquor or g alkali/L pretreatment liquor) and alkali loading based on biomass solids (g alkali/g dry biomass) have been widely used. The dual approaches make it difficult to compare the chemical consumption in different process scenarios while evaluating the cost effectiveness of this pretreatment technology. The current work addresses these issues through pretreatment of corn stover at various combinations of pretreatment conditions. Enzymatic hydrolysis with different enzyme blends was subsequently performed to identify the effects of pretreatment parameters on substrate digestibility as well as process operational and capital costs.ResultsThe results showed that sodium hydroxide loading is the most dominant variable for enzymatic digestibility. To reach 70% glucan conversion while avoiding extensive degradation of hemicellulose, approximately 0.08 g NaOH/g corn stover was required. It was also concluded that alkali loading based on total solids (g NaOH/g dry biomass) governs the pretreatment efficiency. Supplementing cellulase with accessory enzymes such as α-arabinofuranosidase and β-xylosidase significantly improved the conversion of the hemicellulose by 6–17%.ConclusionsThe current work presents the impact of alkaline pretreatment parameters on the enzymatic hydrolysis of corn stover as well as the process operational and capital investment costs. The high chemical consumption for alkaline pretreatment technology indicates that the main challenge for commercialization is chemical recovery. However, repurposing or co-locating a biorefinery with a paper mill would be advantageous from an economic point of view. More... »

PAGES

8

References to SciGraph publications

  • 2011-12-14. Reducing acid in dilute acid pretreatment and the impact on enzymatic saccharification in JOURNAL OF INDUSTRIAL MICROBIOLOGY & BIOTECHNOLOGY
  • 2007-11-20. Hydrolysis of Ammonia-pretreated Sugar Cane Bagasse with Cellulase, β-Glucosidase, and Hemicellulase Preparations in APPLIED BIOCHEMISTRY AND BIOTECHNOLOGY
  • 2001-04. Oxidative lime pretreatment of high-lignin biomass in APPLIED BIOCHEMISTRY AND BIOTECHNOLOGY
  • 2001-03. Enzymatic hydrolysis of ammonia-treated sugar beet pulp in APPLIED BIOCHEMISTRY AND BIOTECHNOLOGY
  • 2004. Enhanced enzymatic hydrolysis of steam-exploded douglas fir wood by alkali-oxygen post-treatment in APPLIED BIOCHEMISTRY AND BIOTECHNOLOGY
  • 2000-03. Fundamental factors affecting biomass enzymatic reactivity in APPLIED BIOCHEMISTRY AND BIOTECHNOLOGY
  • 2010-05-04. Evaluation of High Solids Alkaline Pretreatment of Rice Straw in APPLIED BIOCHEMISTRY AND BIOTECHNOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/1754-6834-6-8

    DOI

    http://dx.doi.org/10.1186/1754-6834-6-8

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1039804556

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/23356733


    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/2008/09", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Engineering", 
            "type": "DefinedTerm"
          }, 
          {
            "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"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Novozymes North America, 27525, Franklinton, NC, USA", 
              "id": "http://www.grid.ac/institutes/grid.422756.0", 
              "name": [
                "Novozymes North America, 27525, Franklinton, NC, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Chen", 
            "givenName": "Ye", 
            "id": "sg:person.0734643107.23", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0734643107.23"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Novozymes North America, 27525, Franklinton, NC, USA", 
              "id": "http://www.grid.ac/institutes/grid.422756.0", 
              "name": [
                "Novozymes North America, 27525, Franklinton, NC, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Stevens", 
            "givenName": "Mark A", 
            "id": "sg:person.01002756307.06", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01002756307.06"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Novozymes North America, 27525, Franklinton, NC, USA", 
              "id": "http://www.grid.ac/institutes/grid.422756.0", 
              "name": [
                "Novozymes North America, 27525, Franklinton, NC, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhu", 
            "givenName": "Yongming", 
            "id": "sg:person.01051071507.88", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01051071507.88"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Novozymes North America, 27525, Franklinton, NC, USA", 
              "id": "http://www.grid.ac/institutes/grid.422756.0", 
              "name": [
                "Novozymes North America, 27525, Franklinton, NC, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Holmes", 
            "givenName": "Jason", 
            "id": "sg:person.01117204707.94", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01117204707.94"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Novozymes North America, 27525, Franklinton, NC, USA", 
              "id": "http://www.grid.ac/institutes/grid.422756.0", 
              "name": [
                "Novozymes North America, 27525, Franklinton, NC, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Xu", 
            "givenName": "Hui", 
            "id": "sg:person.01233433307.36", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01233433307.36"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s12010-010-8958-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053037598", 
              "https://doi.org/10.1007/s12010-010-8958-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1385/abab:91-93:1-9:269", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006313880", 
              "https://doi.org/10.1385/abab:91-93:1-9:269"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1385/abab:84-86:1-9:5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020413754", 
              "https://doi.org/10.1385/abab:84-86:1-9:5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12010-007-8084-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051468712", 
              "https://doi.org/10.1007/s12010-007-8084-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1385/abab:115:1-3:1103", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014510148", 
              "https://doi.org/10.1385/abab:115:1-3:1103"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1385/abab:94:1:01", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030519216", 
              "https://doi.org/10.1385/abab:94:1:01"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10295-011-1068-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038828681", 
              "https://doi.org/10.1007/s10295-011-1068-7"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2013-01-28", 
        "datePublishedReg": "2013-01-28", 
        "description": "BackgroundPrevious research on alkaline pretreatment has mainly focused on optimization of the process parameters to improve substrate digestibility. To achieve satisfactory sugar yield, extremely high chemical loading and enzyme dosages were typically used. Relatively little attention has been paid to reduction of chemical consumption and process waste management, which has proven to be an indispensable component of the bio-refineries. To indicate alkali strength, both alkali concentration in pretreatment solution (g alkali/g pretreatment liquor or g alkali/L pretreatment liquor) and alkali loading based on biomass solids (g alkali/g dry biomass) have been widely used. The dual approaches make it difficult to compare the chemical consumption in different process scenarios while evaluating the cost effectiveness of this pretreatment technology. The current work addresses these issues through pretreatment of corn stover at various combinations of pretreatment conditions. Enzymatic hydrolysis with different enzyme blends was subsequently performed to identify the effects of pretreatment parameters on substrate digestibility as well as process operational and capital costs.ResultsThe results showed that sodium hydroxide loading is the most dominant variable for enzymatic digestibility. To reach 70% glucan conversion while avoiding extensive degradation of hemicellulose, approximately 0.08 g NaOH/g corn stover was required. It was also concluded that alkali loading based on total solids (g NaOH/g dry biomass) governs the pretreatment efficiency. Supplementing cellulase with accessory enzymes such as \u03b1-arabinofuranosidase and \u03b2-xylosidase significantly improved the conversion of the hemicellulose by 6\u201317%.ConclusionsThe current work presents the impact of alkaline pretreatment parameters on the enzymatic hydrolysis of corn stover as well as the process operational and capital investment costs. The high chemical consumption for alkaline pretreatment technology indicates that the main challenge for commercialization is chemical recovery. However, repurposing or co-locating a biorefinery with a paper mill would be advantageous from an economic point of view.", 
        "genre": "article", 
        "id": "sg:pub.10.1186/1754-6834-6-8", 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1429595", 
            "issn": [
              "2731-3654"
            ], 
            "name": "Biotechnology for Biofuels and Bioproducts", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "6"
          }
        ], 
        "keywords": [
          "chemical consumption", 
          "pretreatment technology", 
          "satisfactory sugar yield", 
          "sodium hydroxide loading", 
          "high chemical consumption", 
          "capital investment cost", 
          "process parameters", 
          "biomass solids", 
          "pretreatment of corn", 
          "different process scenarios", 
          "capital cost", 
          "current work", 
          "investment costs", 
          "high chemical loading", 
          "pretreatment parameters", 
          "paper mill", 
          "pretreatment efficiency", 
          "loading", 
          "process scenarios", 
          "chemical loading", 
          "alkali concentration", 
          "alkaline pretreatment", 
          "NaOH/", 
          "glucan conversion", 
          "waste management", 
          "pretreatment conditions", 
          "pretreatment solution", 
          "alkali loading", 
          "substrate digestibility", 
          "total solids", 
          "economic point", 
          "enzymatic digestibility", 
          "enzymatic hydrolysis", 
          "enzyme dosage", 
          "solids", 
          "enzymatic saccharification", 
          "parameters", 
          "chemical recovery", 
          "main challenges", 
          "technology", 
          "sugar yield", 
          "indispensable component", 
          "consumption", 
          "blends", 
          "mill", 
          "cost", 
          "biorefinery", 
          "conversion", 
          "strength", 
          "hemicellulose", 
          "process", 
          "commercialization", 
          "optimization", 
          "efficiency", 
          "work", 
          "dominant variable", 
          "cost effectiveness", 
          "alkali", 
          "degradation", 
          "solution", 
          "saccharification", 
          "conditions", 
          "alkali strength", 
          "dual approach", 
          "scenarios", 
          "reduction", 
          "components", 
          "extensive degradation", 
          "effectiveness", 
          "recovery", 
          "results", 
          "hydrolysis", 
          "point", 
          "combination", 
          "pretreatment", 
          "approach", 
          "concentration", 
          "effect", 
          "dosage", 
          "challenges", 
          "yield", 
          "corn", 
          "impact", 
          "issues", 
          "attention", 
          "enzyme blend", 
          "research", 
          "variables", 
          "cellulase", 
          "accessory enzymes", 
          "view", 
          "ResultsThe results", 
          "little attention", 
          "digestibility", 
          "management", 
          "\u03b1-arabinofuranosidase", 
          "\u03b2-xylosidase", 
          "enzyme", 
          "BackgroundPrevious research"
        ], 
        "name": "Understanding of alkaline pretreatment parameters for corn stover enzymatic saccharification", 
        "pagination": "8", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1039804556"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/1754-6834-6-8"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "23356733"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/1754-6834-6-8", 
          "https://app.dimensions.ai/details/publication/pub.1039804556"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-09-02T15:56", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220902/entities/gbq_results/article/article_611.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1186/1754-6834-6-8"
      }
    ]
     

    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.10.1186/1754-6834-6-8'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1754-6834-6-8'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1754-6834-6-8'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1754-6834-6-8'


     

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

    215 TRIPLES      21 PREDICATES      131 URIs      116 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/1754-6834-6-8 schema:about anzsrc-for:09
    2 anzsrc-for:0907
    3 schema:author N16fd60894aad4cd88c0d3a8296c5cccc
    4 schema:citation sg:pub.10.1007/s10295-011-1068-7
    5 sg:pub.10.1007/s12010-007-8084-0
    6 sg:pub.10.1007/s12010-010-8958-4
    7 sg:pub.10.1385/abab:115:1-3:1103
    8 sg:pub.10.1385/abab:84-86:1-9:5
    9 sg:pub.10.1385/abab:91-93:1-9:269
    10 sg:pub.10.1385/abab:94:1:01
    11 schema:datePublished 2013-01-28
    12 schema:datePublishedReg 2013-01-28
    13 schema:description BackgroundPrevious research on alkaline pretreatment has mainly focused on optimization of the process parameters to improve substrate digestibility. To achieve satisfactory sugar yield, extremely high chemical loading and enzyme dosages were typically used. Relatively little attention has been paid to reduction of chemical consumption and process waste management, which has proven to be an indispensable component of the bio-refineries. To indicate alkali strength, both alkali concentration in pretreatment solution (g alkali/g pretreatment liquor or g alkali/L pretreatment liquor) and alkali loading based on biomass solids (g alkali/g dry biomass) have been widely used. The dual approaches make it difficult to compare the chemical consumption in different process scenarios while evaluating the cost effectiveness of this pretreatment technology. The current work addresses these issues through pretreatment of corn stover at various combinations of pretreatment conditions. Enzymatic hydrolysis with different enzyme blends was subsequently performed to identify the effects of pretreatment parameters on substrate digestibility as well as process operational and capital costs.ResultsThe results showed that sodium hydroxide loading is the most dominant variable for enzymatic digestibility. To reach 70% glucan conversion while avoiding extensive degradation of hemicellulose, approximately 0.08 g NaOH/g corn stover was required. It was also concluded that alkali loading based on total solids (g NaOH/g dry biomass) governs the pretreatment efficiency. Supplementing cellulase with accessory enzymes such as α-arabinofuranosidase and β-xylosidase significantly improved the conversion of the hemicellulose by 6–17%.ConclusionsThe current work presents the impact of alkaline pretreatment parameters on the enzymatic hydrolysis of corn stover as well as the process operational and capital investment costs. The high chemical consumption for alkaline pretreatment technology indicates that the main challenge for commercialization is chemical recovery. However, repurposing or co-locating a biorefinery with a paper mill would be advantageous from an economic point of view.
    14 schema:genre article
    15 schema:isAccessibleForFree true
    16 schema:isPartOf N41073e5a04d24a4a8323f1ced7b579c0
    17 N42bd00ca9aa742cca7bdb86901a0d2a2
    18 sg:journal.1429595
    19 schema:keywords BackgroundPrevious research
    20 NaOH/
    21 ResultsThe results
    22 accessory enzymes
    23 alkali
    24 alkali concentration
    25 alkali loading
    26 alkali strength
    27 alkaline pretreatment
    28 approach
    29 attention
    30 biomass solids
    31 biorefinery
    32 blends
    33 capital cost
    34 capital investment cost
    35 cellulase
    36 challenges
    37 chemical consumption
    38 chemical loading
    39 chemical recovery
    40 combination
    41 commercialization
    42 components
    43 concentration
    44 conditions
    45 consumption
    46 conversion
    47 corn
    48 cost
    49 cost effectiveness
    50 current work
    51 degradation
    52 different process scenarios
    53 digestibility
    54 dominant variable
    55 dosage
    56 dual approach
    57 economic point
    58 effect
    59 effectiveness
    60 efficiency
    61 enzymatic digestibility
    62 enzymatic hydrolysis
    63 enzymatic saccharification
    64 enzyme
    65 enzyme blend
    66 enzyme dosage
    67 extensive degradation
    68 glucan conversion
    69 hemicellulose
    70 high chemical consumption
    71 high chemical loading
    72 hydrolysis
    73 impact
    74 indispensable component
    75 investment costs
    76 issues
    77 little attention
    78 loading
    79 main challenges
    80 management
    81 mill
    82 optimization
    83 paper mill
    84 parameters
    85 point
    86 pretreatment
    87 pretreatment conditions
    88 pretreatment efficiency
    89 pretreatment of corn
    90 pretreatment parameters
    91 pretreatment solution
    92 pretreatment technology
    93 process
    94 process parameters
    95 process scenarios
    96 recovery
    97 reduction
    98 research
    99 results
    100 saccharification
    101 satisfactory sugar yield
    102 scenarios
    103 sodium hydroxide loading
    104 solids
    105 solution
    106 strength
    107 substrate digestibility
    108 sugar yield
    109 technology
    110 total solids
    111 variables
    112 view
    113 waste management
    114 work
    115 yield
    116 α-arabinofuranosidase
    117 β-xylosidase
    118 schema:name Understanding of alkaline pretreatment parameters for corn stover enzymatic saccharification
    119 schema:pagination 8
    120 schema:productId N0608350ba8354acf8d1240cefaa50bb0
    121 N992ea7dc35ae4fc581778e6de6430cae
    122 N9c6d835b4a3d457883c392c43076117d
    123 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039804556
    124 https://doi.org/10.1186/1754-6834-6-8
    125 schema:sdDatePublished 2022-09-02T15:56
    126 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    127 schema:sdPublisher Na91495b93e0f4676ada643c2e53f95ad
    128 schema:url https://doi.org/10.1186/1754-6834-6-8
    129 sgo:license sg:explorer/license/
    130 sgo:sdDataset articles
    131 rdf:type schema:ScholarlyArticle
    132 N0608350ba8354acf8d1240cefaa50bb0 schema:name pubmed_id
    133 schema:value 23356733
    134 rdf:type schema:PropertyValue
    135 N16fd60894aad4cd88c0d3a8296c5cccc rdf:first sg:person.0734643107.23
    136 rdf:rest Nc5ddba4cf5a9474781f8035f66f6476f
    137 N1c96165ab1ff442ebbd4a46c89be6418 rdf:first sg:person.01233433307.36
    138 rdf:rest rdf:nil
    139 N41073e5a04d24a4a8323f1ced7b579c0 schema:issueNumber 1
    140 rdf:type schema:PublicationIssue
    141 N42bd00ca9aa742cca7bdb86901a0d2a2 schema:volumeNumber 6
    142 rdf:type schema:PublicationVolume
    143 N458b3b56433d4057832b89882ad251a1 rdf:first sg:person.01117204707.94
    144 rdf:rest N1c96165ab1ff442ebbd4a46c89be6418
    145 N992ea7dc35ae4fc581778e6de6430cae schema:name dimensions_id
    146 schema:value pub.1039804556
    147 rdf:type schema:PropertyValue
    148 N9c6d835b4a3d457883c392c43076117d schema:name doi
    149 schema:value 10.1186/1754-6834-6-8
    150 rdf:type schema:PropertyValue
    151 Na91495b93e0f4676ada643c2e53f95ad schema:name Springer Nature - SN SciGraph project
    152 rdf:type schema:Organization
    153 Nbc85fb941ac84fb0a93278cf8fa1cec2 rdf:first sg:person.01051071507.88
    154 rdf:rest N458b3b56433d4057832b89882ad251a1
    155 Nc5ddba4cf5a9474781f8035f66f6476f rdf:first sg:person.01002756307.06
    156 rdf:rest Nbc85fb941ac84fb0a93278cf8fa1cec2
    157 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
    158 schema:name Engineering
    159 rdf:type schema:DefinedTerm
    160 anzsrc-for:0907 schema:inDefinedTermSet anzsrc-for:
    161 schema:name Environmental Engineering
    162 rdf:type schema:DefinedTerm
    163 sg:journal.1429595 schema:issn 2731-3654
    164 schema:name Biotechnology for Biofuels and Bioproducts
    165 schema:publisher Springer Nature
    166 rdf:type schema:Periodical
    167 sg:person.01002756307.06 schema:affiliation grid-institutes:grid.422756.0
    168 schema:familyName Stevens
    169 schema:givenName Mark A
    170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01002756307.06
    171 rdf:type schema:Person
    172 sg:person.01051071507.88 schema:affiliation grid-institutes:grid.422756.0
    173 schema:familyName Zhu
    174 schema:givenName Yongming
    175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01051071507.88
    176 rdf:type schema:Person
    177 sg:person.01117204707.94 schema:affiliation grid-institutes:grid.422756.0
    178 schema:familyName Holmes
    179 schema:givenName Jason
    180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01117204707.94
    181 rdf:type schema:Person
    182 sg:person.01233433307.36 schema:affiliation grid-institutes:grid.422756.0
    183 schema:familyName Xu
    184 schema:givenName Hui
    185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01233433307.36
    186 rdf:type schema:Person
    187 sg:person.0734643107.23 schema:affiliation grid-institutes:grid.422756.0
    188 schema:familyName Chen
    189 schema:givenName Ye
    190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0734643107.23
    191 rdf:type schema:Person
    192 sg:pub.10.1007/s10295-011-1068-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038828681
    193 https://doi.org/10.1007/s10295-011-1068-7
    194 rdf:type schema:CreativeWork
    195 sg:pub.10.1007/s12010-007-8084-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051468712
    196 https://doi.org/10.1007/s12010-007-8084-0
    197 rdf:type schema:CreativeWork
    198 sg:pub.10.1007/s12010-010-8958-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053037598
    199 https://doi.org/10.1007/s12010-010-8958-4
    200 rdf:type schema:CreativeWork
    201 sg:pub.10.1385/abab:115:1-3:1103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014510148
    202 https://doi.org/10.1385/abab:115:1-3:1103
    203 rdf:type schema:CreativeWork
    204 sg:pub.10.1385/abab:84-86:1-9:5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020413754
    205 https://doi.org/10.1385/abab:84-86:1-9:5
    206 rdf:type schema:CreativeWork
    207 sg:pub.10.1385/abab:91-93:1-9:269 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006313880
    208 https://doi.org/10.1385/abab:91-93:1-9:269
    209 rdf:type schema:CreativeWork
    210 sg:pub.10.1385/abab:94:1:01 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030519216
    211 https://doi.org/10.1385/abab:94:1:01
    212 rdf:type schema:CreativeWork
    213 grid-institutes:grid.422756.0 schema:alternateName Novozymes North America, 27525, Franklinton, NC, USA
    214 schema:name Novozymes North America, 27525, Franklinton, NC, USA
    215 rdf:type schema:Organization
     




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


    ...