On Predicting Roller Milling Performance VI

Models based on the breakage equation for roller milling have been developed to predict the output particle size distribution delivered by First Break roller milling of wheat from distributions of single kernel characteristics. These models allow prediction of the breakage of mixtures of kernels of...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Food and bioproducts processing 2007-03, Vol.85 (1), p.7-23
Hauptverfasser: Campbell, G.M., Fang, C., Muhamad, I.I.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 23
container_issue 1
container_start_page 7
container_title Food and bioproducts processing
container_volume 85
creator Campbell, G.M.
Fang, C.
Muhamad, I.I.
description Models based on the breakage equation for roller milling have been developed to predict the output particle size distribution delivered by First Break roller milling of wheat from distributions of single kernel characteristics. These models allow prediction of the breakage of mixtures of kernels of unknown origin or varieties and varying in size and hardness, based solely on Perten Single Kernel Characterisation System (SKCS) characteristics. Predictions have been developed for both Sharp-to-Sharp and Dull-to-Dull roll dispositions, and show good agreement with independent data. Milling under a Dull-to-Dull disposition is more sensitive to kernel hardness and gives a more pronounced U-shaped distribution of output particle sizes (i.e., large proportions of both small and large particles, with few in the mid-size range) than Sharp-to-Sharp milling. Similarly, softer wheats break to give a more U-shaped distribution than harder wheats. These findings also demonstrate that kernel hardness as reported by the SKCS is meaningful in relation to wheat breakage during roller milling. Previous work has shown that single kernel moisture measurements can be included in predictive equations; further work reported here demonstrates the potential to add the fourth SKCS parameter, kernel mass, to predictions in order to allow for the effect of kernel shape on breakage.
doi_str_mv 10.1205/fbp06005
format Article
fullrecord <record><control><sourceid>elsevier_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1205_fbp06005</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0960308507705692</els_id><sourcerecordid>S0960308507705692</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1155-ca7509cb0d8629ee37da13a7ddd54994e34428b0dc5c4dd7f9176dfa8fa516da3</originalsourceid><addsrcrecordid>eNplT01LAzEUDKLgWgV_wh4FWX1vk2x2j1L8KFRaRL2GNO9FIttuSYrgv3dL9eRpGOaDGSEuEW6wBn0bVltoAPSRKNAoVUlt8FgU0DVQSWj1qTjL-RMAsEVdiOvFplwmpuh3cfNRvgx9z6l8jn2_p0tOYUhrt_Fcvs_OxUlwfeaLX5yIt4f71-lTNV88zqZ388ojal15ZzR0fgXUNnXHLA05lM4QkVZdp1gqVbej7LVXRCZ0aBoKrg1OY0NOTsTVodenIefEwW5TXLv0bRHs_qT9Ozla64OVxz1fkZPNPvI4l2Jiv7M0xP-hH6LwVMk</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>On Predicting Roller Milling Performance VI</title><source>Access via ScienceDirect (Elsevier)</source><creator>Campbell, G.M. ; Fang, C. ; Muhamad, I.I.</creator><creatorcontrib>Campbell, G.M. ; Fang, C. ; Muhamad, I.I.</creatorcontrib><description>Models based on the breakage equation for roller milling have been developed to predict the output particle size distribution delivered by First Break roller milling of wheat from distributions of single kernel characteristics. These models allow prediction of the breakage of mixtures of kernels of unknown origin or varieties and varying in size and hardness, based solely on Perten Single Kernel Characterisation System (SKCS) characteristics. Predictions have been developed for both Sharp-to-Sharp and Dull-to-Dull roll dispositions, and show good agreement with independent data. Milling under a Dull-to-Dull disposition is more sensitive to kernel hardness and gives a more pronounced U-shaped distribution of output particle sizes (i.e., large proportions of both small and large particles, with few in the mid-size range) than Sharp-to-Sharp milling. Similarly, softer wheats break to give a more U-shaped distribution than harder wheats. These findings also demonstrate that kernel hardness as reported by the SKCS is meaningful in relation to wheat breakage during roller milling. Previous work has shown that single kernel moisture measurements can be included in predictive equations; further work reported here demonstrates the potential to add the fourth SKCS parameter, kernel mass, to predictions in order to allow for the effect of kernel shape on breakage.</description><identifier>ISSN: 0960-3085</identifier><identifier>EISSN: 1744-3571</identifier><identifier>DOI: 10.1205/fbp06005</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>breakage equation ; flour ; hardness ; roller milling ; single kernel characterization ; wheat</subject><ispartof>Food and bioproducts processing, 2007-03, Vol.85 (1), p.7-23</ispartof><rights>2007 The Institution of Chemical Engineers</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c1155-ca7509cb0d8629ee37da13a7ddd54994e34428b0dc5c4dd7f9176dfa8fa516da3</citedby><cites>FETCH-LOGICAL-c1155-ca7509cb0d8629ee37da13a7ddd54994e34428b0dc5c4dd7f9176dfa8fa516da3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1205/fbp06005$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Campbell, G.M.</creatorcontrib><creatorcontrib>Fang, C.</creatorcontrib><creatorcontrib>Muhamad, I.I.</creatorcontrib><title>On Predicting Roller Milling Performance VI</title><title>Food and bioproducts processing</title><description>Models based on the breakage equation for roller milling have been developed to predict the output particle size distribution delivered by First Break roller milling of wheat from distributions of single kernel characteristics. These models allow prediction of the breakage of mixtures of kernels of unknown origin or varieties and varying in size and hardness, based solely on Perten Single Kernel Characterisation System (SKCS) characteristics. Predictions have been developed for both Sharp-to-Sharp and Dull-to-Dull roll dispositions, and show good agreement with independent data. Milling under a Dull-to-Dull disposition is more sensitive to kernel hardness and gives a more pronounced U-shaped distribution of output particle sizes (i.e., large proportions of both small and large particles, with few in the mid-size range) than Sharp-to-Sharp milling. Similarly, softer wheats break to give a more U-shaped distribution than harder wheats. These findings also demonstrate that kernel hardness as reported by the SKCS is meaningful in relation to wheat breakage during roller milling. Previous work has shown that single kernel moisture measurements can be included in predictive equations; further work reported here demonstrates the potential to add the fourth SKCS parameter, kernel mass, to predictions in order to allow for the effect of kernel shape on breakage.</description><subject>breakage equation</subject><subject>flour</subject><subject>hardness</subject><subject>roller milling</subject><subject>single kernel characterization</subject><subject>wheat</subject><issn>0960-3085</issn><issn>1744-3571</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><recordid>eNplT01LAzEUDKLgWgV_wh4FWX1vk2x2j1L8KFRaRL2GNO9FIttuSYrgv3dL9eRpGOaDGSEuEW6wBn0bVltoAPSRKNAoVUlt8FgU0DVQSWj1qTjL-RMAsEVdiOvFplwmpuh3cfNRvgx9z6l8jn2_p0tOYUhrt_Fcvs_OxUlwfeaLX5yIt4f71-lTNV88zqZ388ojal15ZzR0fgXUNnXHLA05lM4QkVZdp1gqVbej7LVXRCZ0aBoKrg1OY0NOTsTVodenIefEwW5TXLv0bRHs_qT9Ozla64OVxz1fkZPNPvI4l2Jiv7M0xP-hH6LwVMk</recordid><startdate>200703</startdate><enddate>200703</enddate><creator>Campbell, G.M.</creator><creator>Fang, C.</creator><creator>Muhamad, I.I.</creator><general>Elsevier B.V</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>200703</creationdate><title>On Predicting Roller Milling Performance VI</title><author>Campbell, G.M. ; Fang, C. ; Muhamad, I.I.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1155-ca7509cb0d8629ee37da13a7ddd54994e34428b0dc5c4dd7f9176dfa8fa516da3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>breakage equation</topic><topic>flour</topic><topic>hardness</topic><topic>roller milling</topic><topic>single kernel characterization</topic><topic>wheat</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Campbell, G.M.</creatorcontrib><creatorcontrib>Fang, C.</creatorcontrib><creatorcontrib>Muhamad, I.I.</creatorcontrib><collection>CrossRef</collection><jtitle>Food and bioproducts processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Campbell, G.M.</au><au>Fang, C.</au><au>Muhamad, I.I.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>On Predicting Roller Milling Performance VI</atitle><jtitle>Food and bioproducts processing</jtitle><date>2007-03</date><risdate>2007</risdate><volume>85</volume><issue>1</issue><spage>7</spage><epage>23</epage><pages>7-23</pages><issn>0960-3085</issn><eissn>1744-3571</eissn><abstract>Models based on the breakage equation for roller milling have been developed to predict the output particle size distribution delivered by First Break roller milling of wheat from distributions of single kernel characteristics. These models allow prediction of the breakage of mixtures of kernels of unknown origin or varieties and varying in size and hardness, based solely on Perten Single Kernel Characterisation System (SKCS) characteristics. Predictions have been developed for both Sharp-to-Sharp and Dull-to-Dull roll dispositions, and show good agreement with independent data. Milling under a Dull-to-Dull disposition is more sensitive to kernel hardness and gives a more pronounced U-shaped distribution of output particle sizes (i.e., large proportions of both small and large particles, with few in the mid-size range) than Sharp-to-Sharp milling. Similarly, softer wheats break to give a more U-shaped distribution than harder wheats. These findings also demonstrate that kernel hardness as reported by the SKCS is meaningful in relation to wheat breakage during roller milling. Previous work has shown that single kernel moisture measurements can be included in predictive equations; further work reported here demonstrates the potential to add the fourth SKCS parameter, kernel mass, to predictions in order to allow for the effect of kernel shape on breakage.</abstract><pub>Elsevier B.V</pub><doi>10.1205/fbp06005</doi><tpages>17</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0960-3085
ispartof Food and bioproducts processing, 2007-03, Vol.85 (1), p.7-23
issn 0960-3085
1744-3571
language eng
recordid cdi_crossref_primary_10_1205_fbp06005
source Access via ScienceDirect (Elsevier)
subjects breakage equation
flour
hardness
roller milling
single kernel characterization
wheat
title On Predicting Roller Milling Performance VI
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-03T13%3A08%3A49IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-elsevier_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=On%20Predicting%20Roller%20Milling%20Performance%20VI&rft.jtitle=Food%20and%20bioproducts%20processing&rft.au=Campbell,%20G.M.&rft.date=2007-03&rft.volume=85&rft.issue=1&rft.spage=7&rft.epage=23&rft.pages=7-23&rft.issn=0960-3085&rft.eissn=1744-3571&rft_id=info:doi/10.1205/fbp06005&rft_dat=%3Celsevier_cross%3ES0960308507705692%3C/elsevier_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_els_id=S0960308507705692&rfr_iscdi=true