Prediction of moisture, calorific value, ash and carbon content of two dedicated bioenergy crops using near-infrared spectroscopy
The potential of near infrared spectroscopy in conjunction with partial least squares regression to predict Miscanthus xgiganteus and short rotation coppice willow quality indices was examined. Moisture, calorific value, ash and carbon content were predicted with a root mean square error of cross va...
Gespeichert in:
| Veröffentlicht in: | Bioresource technology 2011-04, Vol.102 (8), p.5200-5206 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 5206 |
|---|---|
| container_issue | 8 |
| container_start_page | 5200 |
| container_title | Bioresource technology |
| container_volume | 102 |
| creator | Fagan, Colette C. Everard, Colm D. McDonnell, Kevin |
| description | The potential of near infrared spectroscopy in conjunction with partial least squares regression to predict Miscanthus xgiganteus and short rotation coppice willow quality indices was examined. Moisture, calorific value, ash and carbon content were predicted with a root mean square error of cross validation of 0.90% (R2=0.99), 0.13MJ/kg (R2=0.99), 0.42% (R2=0.58), and 0.57% (R2=0.88), respectively. The moisture and calorific value prediction models had excellent accuracy while the carbon and ash models were fair and poor, respectively. The results indicate that near infrared spectroscopy has the potential to predict quality indices of dedicated energy crops, however the models must be further validated on a wider range of samples prior to implementation. The utilization of such models would assist in the optimal use of the feedstock based on its biomass properties. |
| doi_str_mv | 10.1016/j.biortech.2011.01.087 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_862784366</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0960852411001817</els_id><sourcerecordid>857129992</sourcerecordid><originalsourceid>FETCH-LOGICAL-c528t-7377aa5e00996fcc44573615813dfb38f253fe32fc4fc836bc3223f512b0b1cc3</originalsourceid><addsrcrecordid>eNqFkU1rFDEYgIModlv9CyUX0YOz5mMmydyUolUo6EHPIZN502aZTcYkU9mj_9wMu9WbhRcCyfN-5H0QuqRkSwkV73bbwcdUwN5tGaF0S2oo-QRtqJK8Yb0UT9GG9II0qmPtGTrPeUcI4VSy5-iMUd72knQb9PtbgtHb4mPA0eF99LksCd5ia6aYvPMW35tpqRcm32ETxvqQhgrbGAqEsiaVXxGPaxVTYMR1LgiQbg_YpjhnvGQfbnEAkxofXDK1H84z2JJitnE-vEDPnJkyvDydF-jHp4_frz43N1-vv1x9uGlsx1RpJJfSmA4I6XvhrG3bTnJBO0X56AauHOu4A86cbZ1VXAyWM8ZdR9lABmotv0Cvj3XnFH8ukIve-2xhmkyAuGStBJOq5UI8TnaSsr7vWSXf_JekUkpKpeKyouKI1q3knMDpOfm9SQdNiV6V6p1-UKpXpZrUUGvi5anHMuxh_Jv24LACr06AydVaXXGwPv_jeC8lk-u33h85qFu-95B0th6CreZS1aHH6B-b5Q9P_MQi</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1777117837</pqid></control><display><type>article</type><title>Prediction of moisture, calorific value, ash and carbon content of two dedicated bioenergy crops using near-infrared spectroscopy</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals</source><creator>Fagan, Colette C. ; Everard, Colm D. ; McDonnell, Kevin</creator><creatorcontrib>Fagan, Colette C. ; Everard, Colm D. ; McDonnell, Kevin</creatorcontrib><description>The potential of near infrared spectroscopy in conjunction with partial least squares regression to predict Miscanthus xgiganteus and short rotation coppice willow quality indices was examined. Moisture, calorific value, ash and carbon content were predicted with a root mean square error of cross validation of 0.90% (R2=0.99), 0.13MJ/kg (R2=0.99), 0.42% (R2=0.58), and 0.57% (R2=0.88), respectively. The moisture and calorific value prediction models had excellent accuracy while the carbon and ash models were fair and poor, respectively. The results indicate that near infrared spectroscopy has the potential to predict quality indices of dedicated energy crops, however the models must be further validated on a wider range of samples prior to implementation. The utilization of such models would assist in the optimal use of the feedstock based on its biomass properties.</description><identifier>ISSN: 0960-8524</identifier><identifier>EISSN: 1873-2976</identifier><identifier>DOI: 10.1016/j.biortech.2011.01.087</identifier><identifier>PMID: 21349705</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Ashes ; Bioenergy crop ; Biofuel production ; Biological and medical sciences ; Biotechnology ; Calorific value ; Carbon ; Carbon - analysis ; Carbon content ; Crops ; Crops, Agricultural ; Energy ; Fundamental and applied biological sciences. Psychology ; Industrial applications and implications. Economical aspects ; Infrared spectroscopy ; Mathematical models ; Miscanthus ; Moisture ; Near infrared spectroscopy ; Quality ; Regression ; Short rotational coppice willow ; Spectrophotometry, Infrared - methods ; Water - analysis</subject><ispartof>Bioresource technology, 2011-04, Vol.102 (8), p.5200-5206</ispartof><rights>2011 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2011 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c528t-7377aa5e00996fcc44573615813dfb38f253fe32fc4fc836bc3223f512b0b1cc3</citedby><cites>FETCH-LOGICAL-c528t-7377aa5e00996fcc44573615813dfb38f253fe32fc4fc836bc3223f512b0b1cc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0960852411001817$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23977276$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21349705$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Fagan, Colette C.</creatorcontrib><creatorcontrib>Everard, Colm D.</creatorcontrib><creatorcontrib>McDonnell, Kevin</creatorcontrib><title>Prediction of moisture, calorific value, ash and carbon content of two dedicated bioenergy crops using near-infrared spectroscopy</title><title>Bioresource technology</title><addtitle>Bioresour Technol</addtitle><description>The potential of near infrared spectroscopy in conjunction with partial least squares regression to predict Miscanthus xgiganteus and short rotation coppice willow quality indices was examined. Moisture, calorific value, ash and carbon content were predicted with a root mean square error of cross validation of 0.90% (R2=0.99), 0.13MJ/kg (R2=0.99), 0.42% (R2=0.58), and 0.57% (R2=0.88), respectively. The moisture and calorific value prediction models had excellent accuracy while the carbon and ash models were fair and poor, respectively. The results indicate that near infrared spectroscopy has the potential to predict quality indices of dedicated energy crops, however the models must be further validated on a wider range of samples prior to implementation. The utilization of such models would assist in the optimal use of the feedstock based on its biomass properties.</description><subject>Ashes</subject><subject>Bioenergy crop</subject><subject>Biofuel production</subject><subject>Biological and medical sciences</subject><subject>Biotechnology</subject><subject>Calorific value</subject><subject>Carbon</subject><subject>Carbon - analysis</subject><subject>Carbon content</subject><subject>Crops</subject><subject>Crops, Agricultural</subject><subject>Energy</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Industrial applications and implications. Economical aspects</subject><subject>Infrared spectroscopy</subject><subject>Mathematical models</subject><subject>Miscanthus</subject><subject>Moisture</subject><subject>Near infrared spectroscopy</subject><subject>Quality</subject><subject>Regression</subject><subject>Short rotational coppice willow</subject><subject>Spectrophotometry, Infrared - methods</subject><subject>Water - analysis</subject><issn>0960-8524</issn><issn>1873-2976</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkU1rFDEYgIModlv9CyUX0YOz5mMmydyUolUo6EHPIZN502aZTcYkU9mj_9wMu9WbhRcCyfN-5H0QuqRkSwkV73bbwcdUwN5tGaF0S2oo-QRtqJK8Yb0UT9GG9II0qmPtGTrPeUcI4VSy5-iMUd72knQb9PtbgtHb4mPA0eF99LksCd5ia6aYvPMW35tpqRcm32ETxvqQhgrbGAqEsiaVXxGPaxVTYMR1LgiQbg_YpjhnvGQfbnEAkxofXDK1H84z2JJitnE-vEDPnJkyvDydF-jHp4_frz43N1-vv1x9uGlsx1RpJJfSmA4I6XvhrG3bTnJBO0X56AauHOu4A86cbZ1VXAyWM8ZdR9lABmotv0Cvj3XnFH8ukIve-2xhmkyAuGStBJOq5UI8TnaSsr7vWSXf_JekUkpKpeKyouKI1q3knMDpOfm9SQdNiV6V6p1-UKpXpZrUUGvi5anHMuxh_Jv24LACr06AydVaXXGwPv_jeC8lk-u33h85qFu-95B0th6CreZS1aHH6B-b5Q9P_MQi</recordid><startdate>20110401</startdate><enddate>20110401</enddate><creator>Fagan, Colette C.</creator><creator>Everard, Colm D.</creator><creator>McDonnell, Kevin</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SU</scope><scope>7TB</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>KR7</scope><scope>7X8</scope><scope>7QO</scope><scope>7ST</scope><scope>P64</scope><scope>SOI</scope></search><sort><creationdate>20110401</creationdate><title>Prediction of moisture, calorific value, ash and carbon content of two dedicated bioenergy crops using near-infrared spectroscopy</title><author>Fagan, Colette C. ; Everard, Colm D. ; McDonnell, Kevin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c528t-7377aa5e00996fcc44573615813dfb38f253fe32fc4fc836bc3223f512b0b1cc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Ashes</topic><topic>Bioenergy crop</topic><topic>Biofuel production</topic><topic>Biological and medical sciences</topic><topic>Biotechnology</topic><topic>Calorific value</topic><topic>Carbon</topic><topic>Carbon - analysis</topic><topic>Carbon content</topic><topic>Crops</topic><topic>Crops, Agricultural</topic><topic>Energy</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Industrial applications and implications. Economical aspects</topic><topic>Infrared spectroscopy</topic><topic>Mathematical models</topic><topic>Miscanthus</topic><topic>Moisture</topic><topic>Near infrared spectroscopy</topic><topic>Quality</topic><topic>Regression</topic><topic>Short rotational coppice willow</topic><topic>Spectrophotometry, Infrared - methods</topic><topic>Water - analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fagan, Colette C.</creatorcontrib><creatorcontrib>Everard, Colm D.</creatorcontrib><creatorcontrib>McDonnell, Kevin</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Environmental Engineering Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Biotechnology Research Abstracts</collection><collection>Environment Abstracts</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Bioresource technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fagan, Colette C.</au><au>Everard, Colm D.</au><au>McDonnell, Kevin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prediction of moisture, calorific value, ash and carbon content of two dedicated bioenergy crops using near-infrared spectroscopy</atitle><jtitle>Bioresource technology</jtitle><addtitle>Bioresour Technol</addtitle><date>2011-04-01</date><risdate>2011</risdate><volume>102</volume><issue>8</issue><spage>5200</spage><epage>5206</epage><pages>5200-5206</pages><issn>0960-8524</issn><eissn>1873-2976</eissn><abstract>The potential of near infrared spectroscopy in conjunction with partial least squares regression to predict Miscanthus xgiganteus and short rotation coppice willow quality indices was examined. Moisture, calorific value, ash and carbon content were predicted with a root mean square error of cross validation of 0.90% (R2=0.99), 0.13MJ/kg (R2=0.99), 0.42% (R2=0.58), and 0.57% (R2=0.88), respectively. The moisture and calorific value prediction models had excellent accuracy while the carbon and ash models were fair and poor, respectively. The results indicate that near infrared spectroscopy has the potential to predict quality indices of dedicated energy crops, however the models must be further validated on a wider range of samples prior to implementation. The utilization of such models would assist in the optimal use of the feedstock based on its biomass properties.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><pmid>21349705</pmid><doi>10.1016/j.biortech.2011.01.087</doi><tpages>7</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0960-8524 |
| ispartof | Bioresource technology, 2011-04, Vol.102 (8), p.5200-5206 |
| issn | 0960-8524 1873-2976 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_862784366 |
| source | MEDLINE; Elsevier ScienceDirect Journals |
| subjects | Ashes Bioenergy crop Biofuel production Biological and medical sciences Biotechnology Calorific value Carbon Carbon - analysis Carbon content Crops Crops, Agricultural Energy Fundamental and applied biological sciences. Psychology Industrial applications and implications. Economical aspects Infrared spectroscopy Mathematical models Miscanthus Moisture Near infrared spectroscopy Quality Regression Short rotational coppice willow Spectrophotometry, Infrared - methods Water - analysis |
| title | Prediction of moisture, calorific value, ash and carbon content of two dedicated bioenergy crops using near-infrared spectroscopy |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-08T08%3A40%3A05IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Prediction%20of%20moisture,%20calorific%20value,%20ash%20and%20carbon%20content%20of%20two%20dedicated%20bioenergy%20crops%20using%20near-infrared%20spectroscopy&rft.jtitle=Bioresource%20technology&rft.au=Fagan,%20Colette%20C.&rft.date=2011-04-01&rft.volume=102&rft.issue=8&rft.spage=5200&rft.epage=5206&rft.pages=5200-5206&rft.issn=0960-8524&rft.eissn=1873-2976&rft_id=info:doi/10.1016/j.biortech.2011.01.087&rft_dat=%3Cproquest_cross%3E857129992%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1777117837&rft_id=info:pmid/21349705&rft_els_id=S0960852411001817&rfr_iscdi=true |