Early Postmortem Prediction of Meat Quality Traits of Porcine Semimembranosus Muscles Using a Portable Raman System
Modern abattoirs are lacking objective, fast, and noninvasive methods to measure or predict important meat quality traits such as pH, color, drip loss, or shear force early postmortem. In this work, a mobile Raman system was used to perform measurements under real-life conditions in the cooling room...
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description | Modern abattoirs are lacking objective, fast, and noninvasive methods to measure or predict important meat quality traits such as pH, color, drip loss, or shear force early postmortem. In this work, a mobile Raman system was used to perform measurements under real-life conditions in the cooling room of an abattoir using pig's semimembranosus muscles (N = 96), 60–120 min after exsanguination. The traits pH₄₅, pH₂₄, CIE L*a*b*, drip loss, and shear force after 24 and 72 h were measured as reference and correlated with the Raman spectra using partial least squares regression. Strong correlations of the Raman spectra were obtained for pH₄₅ (R ² cᵥ = 0.65, RMSECV = 0.17 pH units), pH₂₄ (R ² cᵥ = 0.68, RMSECV = 0.09 pH units), L*-value (R ² cᵥ = 0.64, RMSECV = 1.9), b*-value (R ² cᵥ = 0.73, RMSECV = 0.6), drip loss (R ² cᵥ = 0.73, RMSECV = 1.0 %), and shear force after 72 h (R ² cᵥ = 0.7, RMSECV = 4 N). On the other hand, shear force after 24 h and a*-value showed only weak correlations (R ² cᵥ = 0.22, RMSECV = 7.8 N and R ² cᵥ = 0.36, RMSECV = 1.3). The predictions can be traced back to differences in the early postmortem metabolic conditions as indicated by Raman signals of phosphocreatine, creatine, adenosine triphosphate, inosine monophosphate, glycogen, lactate, phosphorylated metabolites, and inorganic phosphate. This study demonstrates the potential of Raman spectroscopy for the early postmortem prediction of six pork quality traits which can be useful for the discrimination of meat qualities and sorting in the production chain. |
doi_str_mv | 10.1007/s11947-013-1240-3 |
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In this work, a mobile Raman system was used to perform measurements under real-life conditions in the cooling room of an abattoir using pig's semimembranosus muscles (N = 96), 60–120 min after exsanguination. The traits pH₄₅, pH₂₄, CIE L*a*b*, drip loss, and shear force after 24 and 72 h were measured as reference and correlated with the Raman spectra using partial least squares regression. Strong correlations of the Raman spectra were obtained for pH₄₅ (R ² cᵥ = 0.65, RMSECV = 0.17 pH units), pH₂₄ (R ² cᵥ = 0.68, RMSECV = 0.09 pH units), L*-value (R ² cᵥ = 0.64, RMSECV = 1.9), b*-value (R ² cᵥ = 0.73, RMSECV = 0.6), drip loss (R ² cᵥ = 0.73, RMSECV = 1.0 %), and shear force after 72 h (R ² cᵥ = 0.7, RMSECV = 4 N). On the other hand, shear force after 24 h and a*-value showed only weak correlations (R ² cᵥ = 0.22, RMSECV = 7.8 N and R ² cᵥ = 0.36, RMSECV = 1.3). The predictions can be traced back to differences in the early postmortem metabolic conditions as indicated by Raman signals of phosphocreatine, creatine, adenosine triphosphate, inosine monophosphate, glycogen, lactate, phosphorylated metabolites, and inorganic phosphate. This study demonstrates the potential of Raman spectroscopy for the early postmortem prediction of six pork quality traits which can be useful for the discrimination of meat qualities and sorting in the production chain.</description><identifier>ISSN: 1935-5130</identifier><identifier>EISSN: 1935-5149</identifier><identifier>DOI: 10.1007/s11947-013-1240-3</identifier><language>eng</language><publisher>Boston: Springer-Verlag</publisher><subject>Abattoirs ; Adenosine triphosphate ; Agriculture ; AMP ; ATP ; Biotechnology ; Chemistry ; Chemistry and Materials Science ; Chemistry/Food Science ; color ; Correlation analysis ; Creatine ; drip loss ; Food Science ; Glycogen ; Glycogens ; Inosine monophosphate ; Lactic acid ; least squares ; Measurement methods ; Meat ; Meat quality ; Metabolites ; Muscles ; Original Paper ; pH effects ; Phosphocreatine ; Pork ; prediction ; Predictions ; Raman spectra ; Raman spectroscopy ; Shear forces ; slaughterhouses ; sorting ; Spectrum analysis ; swine</subject><ispartof>Food and bioprocess technology, 2014-09, Vol.7 (9), p.2732-2741</ispartof><rights>Springer Science+Business Media New York 2013</rights><rights>Springer Science+Business Media New York 2013.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c410t-c0f9e7185b4da2b8f7706f7f615d94b842972321469e49aea5bbab15909d8a0b3</citedby><cites>FETCH-LOGICAL-c410t-c0f9e7185b4da2b8f7706f7f615d94b842972321469e49aea5bbab15909d8a0b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11947-013-1240-3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11947-013-1240-3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51298</link.rule.ids></links><search><creatorcontrib>Scheier, Rico</creatorcontrib><creatorcontrib>Bauer, Aneka</creatorcontrib><creatorcontrib>Schmidt, Heinar</creatorcontrib><title>Early Postmortem Prediction of Meat Quality Traits of Porcine Semimembranosus Muscles Using a Portable Raman System</title><title>Food and bioprocess technology</title><addtitle>Food Bioprocess Technol</addtitle><description>Modern abattoirs are lacking objective, fast, and noninvasive methods to measure or predict important meat quality traits such as pH, color, drip loss, or shear force early postmortem. In this work, a mobile Raman system was used to perform measurements under real-life conditions in the cooling room of an abattoir using pig's semimembranosus muscles (N = 96), 60–120 min after exsanguination. The traits pH₄₅, pH₂₄, CIE L*a*b*, drip loss, and shear force after 24 and 72 h were measured as reference and correlated with the Raman spectra using partial least squares regression. Strong correlations of the Raman spectra were obtained for pH₄₅ (R ² cᵥ = 0.65, RMSECV = 0.17 pH units), pH₂₄ (R ² cᵥ = 0.68, RMSECV = 0.09 pH units), L*-value (R ² cᵥ = 0.64, RMSECV = 1.9), b*-value (R ² cᵥ = 0.73, RMSECV = 0.6), drip loss (R ² cᵥ = 0.73, RMSECV = 1.0 %), and shear force after 72 h (R ² cᵥ = 0.7, RMSECV = 4 N). On the other hand, shear force after 24 h and a*-value showed only weak correlations (R ² cᵥ = 0.22, RMSECV = 7.8 N and R ² cᵥ = 0.36, RMSECV = 1.3). The predictions can be traced back to differences in the early postmortem metabolic conditions as indicated by Raman signals of phosphocreatine, creatine, adenosine triphosphate, inosine monophosphate, glycogen, lactate, phosphorylated metabolites, and inorganic phosphate. This study demonstrates the potential of Raman spectroscopy for the early postmortem prediction of six pork quality traits which can be useful for the discrimination of meat qualities and sorting in the production chain.</description><subject>Abattoirs</subject><subject>Adenosine triphosphate</subject><subject>Agriculture</subject><subject>AMP</subject><subject>ATP</subject><subject>Biotechnology</subject><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>Chemistry/Food Science</subject><subject>color</subject><subject>Correlation analysis</subject><subject>Creatine</subject><subject>drip loss</subject><subject>Food Science</subject><subject>Glycogen</subject><subject>Glycogens</subject><subject>Inosine monophosphate</subject><subject>Lactic acid</subject><subject>least squares</subject><subject>Measurement methods</subject><subject>Meat</subject><subject>Meat quality</subject><subject>Metabolites</subject><subject>Muscles</subject><subject>Original Paper</subject><subject>pH effects</subject><subject>Phosphocreatine</subject><subject>Pork</subject><subject>prediction</subject><subject>Predictions</subject><subject>Raman spectra</subject><subject>Raman spectroscopy</subject><subject>Shear forces</subject><subject>slaughterhouses</subject><subject>sorting</subject><subject>Spectrum analysis</subject><subject>swine</subject><issn>1935-5130</issn><issn>1935-5149</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp9kE2L1EAQhoMouK7-AE82eI5W9Uc6fZRl_YBdHJ2dc1Od6Qy9JOm1KznMvzdDRG-eqiiep154q-otwgcEsB8Z0WlbA6oapYZaPauu0ClTG9Tu-d9dwcvqFfMjQAMa1VXFt1SGs9hlnsdc5jiKXYnH1M0pTyL34j7SLH4sNKT5LB4KpZkv510uXZqi2McxjXEMhabMC4v7hbshsjhwmk6CLtxMYYjiJ400if2Z14jX1YueBo5v_szr6vD59uHma333_cu3m093dacR5rqD3kWLrQn6SDK0vbXQ9LZv0BydDq2WzkolUTcuakeRTAgU0Dhwx5YgqOvq_fb3qeRfS-TZP-alTGukl2uCbbHRdqVwo7qSmUvs_VNJI5WzR_CXbv3WrV-79ZduvVoduTm8stMpln-f_ye926SesqdTSewPewmoAVAaY6T6Df1Rhek</recordid><startdate>20140901</startdate><enddate>20140901</enddate><creator>Scheier, Rico</creator><creator>Bauer, Aneka</creator><creator>Schmidt, Heinar</creator><general>Springer-Verlag</general><general>Springer US</general><general>Springer Nature B.V</general><scope>FBQ</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X2</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FK</scope><scope>ABJCF</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M0K</scope><scope>M7S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20140901</creationdate><title>Early Postmortem Prediction of Meat Quality Traits of Porcine Semimembranosus Muscles Using a Portable Raman System</title><author>Scheier, Rico ; Bauer, Aneka ; Schmidt, Heinar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c410t-c0f9e7185b4da2b8f7706f7f615d94b842972321469e49aea5bbab15909d8a0b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Abattoirs</topic><topic>Adenosine triphosphate</topic><topic>Agriculture</topic><topic>AMP</topic><topic>ATP</topic><topic>Biotechnology</topic><topic>Chemistry</topic><topic>Chemistry and Materials Science</topic><topic>Chemistry/Food Science</topic><topic>color</topic><topic>Correlation analysis</topic><topic>Creatine</topic><topic>drip loss</topic><topic>Food Science</topic><topic>Glycogen</topic><topic>Glycogens</topic><topic>Inosine monophosphate</topic><topic>Lactic acid</topic><topic>least squares</topic><topic>Measurement methods</topic><topic>Meat</topic><topic>Meat quality</topic><topic>Metabolites</topic><topic>Muscles</topic><topic>Original Paper</topic><topic>pH effects</topic><topic>Phosphocreatine</topic><topic>Pork</topic><topic>prediction</topic><topic>Predictions</topic><topic>Raman spectra</topic><topic>Raman spectroscopy</topic><topic>Shear forces</topic><topic>slaughterhouses</topic><topic>sorting</topic><topic>Spectrum analysis</topic><topic>swine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Scheier, Rico</creatorcontrib><creatorcontrib>Bauer, Aneka</creatorcontrib><creatorcontrib>Schmidt, Heinar</creatorcontrib><collection>AGRIS</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Agricultural Science Database</collection><collection>Engineering Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>Food and bioprocess technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Scheier, Rico</au><au>Bauer, Aneka</au><au>Schmidt, Heinar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Early Postmortem Prediction of Meat Quality Traits of Porcine Semimembranosus Muscles Using a Portable Raman System</atitle><jtitle>Food and bioprocess technology</jtitle><stitle>Food Bioprocess Technol</stitle><date>2014-09-01</date><risdate>2014</risdate><volume>7</volume><issue>9</issue><spage>2732</spage><epage>2741</epage><pages>2732-2741</pages><issn>1935-5130</issn><eissn>1935-5149</eissn><abstract>Modern abattoirs are lacking objective, fast, and noninvasive methods to measure or predict important meat quality traits such as pH, color, drip loss, or shear force early postmortem. In this work, a mobile Raman system was used to perform measurements under real-life conditions in the cooling room of an abattoir using pig's semimembranosus muscles (N = 96), 60–120 min after exsanguination. The traits pH₄₅, pH₂₄, CIE L*a*b*, drip loss, and shear force after 24 and 72 h were measured as reference and correlated with the Raman spectra using partial least squares regression. Strong correlations of the Raman spectra were obtained for pH₄₅ (R ² cᵥ = 0.65, RMSECV = 0.17 pH units), pH₂₄ (R ² cᵥ = 0.68, RMSECV = 0.09 pH units), L*-value (R ² cᵥ = 0.64, RMSECV = 1.9), b*-value (R ² cᵥ = 0.73, RMSECV = 0.6), drip loss (R ² cᵥ = 0.73, RMSECV = 1.0 %), and shear force after 72 h (R ² cᵥ = 0.7, RMSECV = 4 N). On the other hand, shear force after 24 h and a*-value showed only weak correlations (R ² cᵥ = 0.22, RMSECV = 7.8 N and R ² cᵥ = 0.36, RMSECV = 1.3). The predictions can be traced back to differences in the early postmortem metabolic conditions as indicated by Raman signals of phosphocreatine, creatine, adenosine triphosphate, inosine monophosphate, glycogen, lactate, phosphorylated metabolites, and inorganic phosphate. This study demonstrates the potential of Raman spectroscopy for the early postmortem prediction of six pork quality traits which can be useful for the discrimination of meat qualities and sorting in the production chain.</abstract><cop>Boston</cop><pub>Springer-Verlag</pub><doi>10.1007/s11947-013-1240-3</doi><tpages>10</tpages></addata></record> |
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subjects | Abattoirs Adenosine triphosphate Agriculture AMP ATP Biotechnology Chemistry Chemistry and Materials Science Chemistry/Food Science color Correlation analysis Creatine drip loss Food Science Glycogen Glycogens Inosine monophosphate Lactic acid least squares Measurement methods Meat Meat quality Metabolites Muscles Original Paper pH effects Phosphocreatine Pork prediction Predictions Raman spectra Raman spectroscopy Shear forces slaughterhouses sorting Spectrum analysis swine |
title | Early Postmortem Prediction of Meat Quality Traits of Porcine Semimembranosus Muscles Using a Portable Raman System |
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