Power plant intake quantification of wheat straw composition for 2nd generation bioethanol optimization

A Near Infrared Spectroscopy (NIRS) feasibility study

Carina J. Lomborg, Mette Hedegaard Thomsen, Erik Steen Jensen, Kim H. Esbensen

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    Optimization of 2nd generation bioethanol production from wheat straw requires comprehensive knowledge of plant intake feedstock composition. Near Infrared Spectroscopy is evaluated as a potential method for instantaneous quantification of the salient fermentation wheat straw components: cellulose (glucan), hemicelluloses (xylan, arabinan), and lignin. Aiming at chemometric multivariate calibration, 44 pre-selected samples were subjected to spectroscopy and reference analysis. For glucan and xylan prediction accuracies (slope: 0.89, 0.94) and precisions (r2: 0.87) were obtained, corresponding to error of prediction levels at 8–9%. Models for arabinan and lignin were marginally less good, and especially for lignin a further expansion of the feasibility dataset was deemed necessary. The results are related to significant influences from sub-sampling/mass reduction errors in the laboratory regimen. A relative high proportion of outliers excluded from the present models (10–20%) may indicate that comminution sample preparation is most likely always needed. Different solutions to these issues are suggested.
    Original languageEnglish
    JournalBioresource Technology
    Volume101
    Issue number4
    Pages (from-to)1199-1205
    ISSN0960-8524
    DOIs
    Publication statusPublished - 2010

    Keywords

    • Bio systems
    • Bio refinery

    Cite this

    Lomborg, Carina J. ; Thomsen, Mette Hedegaard ; Jensen, Erik Steen ; Esbensen, Kim H. / Power plant intake quantification of wheat straw composition for 2nd generation bioethanol optimization : A Near Infrared Spectroscopy (NIRS) feasibility study. In: Bioresource Technology. 2010 ; Vol. 101, No. 4. pp. 1199-1205.
    @article{b61a29e067c44310a4cf31e5bcd1f360,
    title = "Power plant intake quantification of wheat straw composition for 2nd generation bioethanol optimization: A Near Infrared Spectroscopy (NIRS) feasibility study",
    abstract = "Optimization of 2nd generation bioethanol production from wheat straw requires comprehensive knowledge of plant intake feedstock composition. Near Infrared Spectroscopy is evaluated as a potential method for instantaneous quantification of the salient fermentation wheat straw components: cellulose (glucan), hemicelluloses (xylan, arabinan), and lignin. Aiming at chemometric multivariate calibration, 44 pre-selected samples were subjected to spectroscopy and reference analysis. For glucan and xylan prediction accuracies (slope: 0.89, 0.94) and precisions (r2: 0.87) were obtained, corresponding to error of prediction levels at 8–9{\%}. Models for arabinan and lignin were marginally less good, and especially for lignin a further expansion of the feasibility dataset was deemed necessary. The results are related to significant influences from sub-sampling/mass reduction errors in the laboratory regimen. A relative high proportion of outliers excluded from the present models (10–20{\%}) may indicate that comminution sample preparation is most likely always needed. Different solutions to these issues are suggested.",
    keywords = "Bio systems, Bio refinery, Bioraffinaderi, Biosystemer",
    author = "Lomborg, {Carina J.} and Thomsen, {Mette Hedegaard} and Jensen, {Erik Steen} and Esbensen, {Kim H.}",
    year = "2010",
    doi = "10.1016/j.biortech.2009.09.027",
    language = "English",
    volume = "101",
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    Power plant intake quantification of wheat straw composition for 2nd generation bioethanol optimization : A Near Infrared Spectroscopy (NIRS) feasibility study. / Lomborg, Carina J.; Thomsen, Mette Hedegaard; Jensen, Erik Steen; Esbensen, Kim H.

    In: Bioresource Technology, Vol. 101, No. 4, 2010, p. 1199-1205.

    Research output: Contribution to journalJournal articleResearchpeer-review

    TY - JOUR

    T1 - Power plant intake quantification of wheat straw composition for 2nd generation bioethanol optimization

    T2 - A Near Infrared Spectroscopy (NIRS) feasibility study

    AU - Lomborg, Carina J.

    AU - Thomsen, Mette Hedegaard

    AU - Jensen, Erik Steen

    AU - Esbensen, Kim H.

    PY - 2010

    Y1 - 2010

    N2 - Optimization of 2nd generation bioethanol production from wheat straw requires comprehensive knowledge of plant intake feedstock composition. Near Infrared Spectroscopy is evaluated as a potential method for instantaneous quantification of the salient fermentation wheat straw components: cellulose (glucan), hemicelluloses (xylan, arabinan), and lignin. Aiming at chemometric multivariate calibration, 44 pre-selected samples were subjected to spectroscopy and reference analysis. For glucan and xylan prediction accuracies (slope: 0.89, 0.94) and precisions (r2: 0.87) were obtained, corresponding to error of prediction levels at 8–9%. Models for arabinan and lignin were marginally less good, and especially for lignin a further expansion of the feasibility dataset was deemed necessary. The results are related to significant influences from sub-sampling/mass reduction errors in the laboratory regimen. A relative high proportion of outliers excluded from the present models (10–20%) may indicate that comminution sample preparation is most likely always needed. Different solutions to these issues are suggested.

    AB - Optimization of 2nd generation bioethanol production from wheat straw requires comprehensive knowledge of plant intake feedstock composition. Near Infrared Spectroscopy is evaluated as a potential method for instantaneous quantification of the salient fermentation wheat straw components: cellulose (glucan), hemicelluloses (xylan, arabinan), and lignin. Aiming at chemometric multivariate calibration, 44 pre-selected samples were subjected to spectroscopy and reference analysis. For glucan and xylan prediction accuracies (slope: 0.89, 0.94) and precisions (r2: 0.87) were obtained, corresponding to error of prediction levels at 8–9%. Models for arabinan and lignin were marginally less good, and especially for lignin a further expansion of the feasibility dataset was deemed necessary. The results are related to significant influences from sub-sampling/mass reduction errors in the laboratory regimen. A relative high proportion of outliers excluded from the present models (10–20%) may indicate that comminution sample preparation is most likely always needed. Different solutions to these issues are suggested.

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    KW - Bio refinery

    KW - Bioraffinaderi

    KW - Biosystemer

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    DO - 10.1016/j.biortech.2009.09.027

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    VL - 101

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    EP - 1205

    JO - Bioresource Technology

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    SN - 0960-8524

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    ER -