Rapid quantification of casein in skim milk using Fourier transform infrared spectroscopy, enzymatic perturbation, and multiway partial least squares regression: Monitoring chymosin at work
In this study, we introduce enzymatic perturbation combined with Fourier transform infrared (FTIR) spectroscopy as a concept for quantifying casein in subcritical heated skim milk using chemometric multiway analysis. Chymosin is a protease that cleaves specifically caseins. As a result of hydrolysis...
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Veröffentlicht in: | Journal of dairy science 2016-08, Vol.99 (8), p.6071-6079 |
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description | In this study, we introduce enzymatic perturbation combined with Fourier transform infrared (FTIR) spectroscopy as a concept for quantifying casein in subcritical heated skim milk using chemometric multiway analysis. Chymosin is a protease that cleaves specifically caseins. As a result of hydrolysis, all casein proteins clot to form a creamy precipitate, and whey proteins remain in the supernatant. We monitored the cheese-clotting reaction in real time using FTIR and analyzed the resulting evolution profiles to establish calibration models using parallel factor analysis and multiway partial least squares regression. Because we observed casein-specific kinetic changes, the retrieved models were independent of the chemical background matrix and were therefore robust against possible covariance effects. We tested the robustness of the models by spiking the milk solutions with whey, calcium, and cream. This method can be used at different stages in the dairy production chain to ensure the quality of the delivered milk. In particular, the cheese-making industry can benefit from such methods to optimize production control. |
doi_str_mv | 10.3168/jds.2016-10947 |
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Chymosin is a protease that cleaves specifically caseins. As a result of hydrolysis, all casein proteins clot to form a creamy precipitate, and whey proteins remain in the supernatant. We monitored the cheese-clotting reaction in real time using FTIR and analyzed the resulting evolution profiles to establish calibration models using parallel factor analysis and multiway partial least squares regression. Because we observed casein-specific kinetic changes, the retrieved models were independent of the chemical background matrix and were therefore robust against possible covariance effects. We tested the robustness of the models by spiking the milk solutions with whey, calcium, and cream. This method can be used at different stages in the dairy production chain to ensure the quality of the delivered milk. In particular, the cheese-making industry can benefit from such methods to optimize production control.</description><identifier>ISSN: 0022-0302</identifier><identifier>EISSN: 1525-3198</identifier><identifier>DOI: 10.3168/jds.2016-10947</identifier><identifier>PMID: 27265175</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Animals ; Calibration ; Caseins - analysis ; cheese ; Cheese - analysis ; Chymosin - metabolism ; Food Analysis - instrumentation ; Food Analysis - methods ; Hot Temperature ; Hydrolysis ; infrared spectroscopy ; Kinetics ; Least-Squares Analysis ; Milk - chemistry ; Milk - enzymology ; multiway ; parallel factor analysis ; Spectroscopy, Fourier Transform Infrared ; Whey Proteins</subject><ispartof>Journal of dairy science, 2016-08, Vol.99 (8), p.6071-6079</ispartof><rights>2016 American Dairy Science Association</rights><rights>Copyright © 2016 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c384t-95aedd28e2df8ee1993502177bb495071bb9a97a4d112dcfe4a4081192610b413</citedby><cites>FETCH-LOGICAL-c384t-95aedd28e2df8ee1993502177bb495071bb9a97a4d112dcfe4a4081192610b413</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.3168/jds.2016-10947$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,3548,27923,27924,45994</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27265175$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Baum, A.</creatorcontrib><creatorcontrib>Hansen, P.W.</creatorcontrib><creatorcontrib>Nørgaard, L.</creatorcontrib><creatorcontrib>Sørensen, John</creatorcontrib><creatorcontrib>Mikkelsen, J.D.</creatorcontrib><title>Rapid quantification of casein in skim milk using Fourier transform infrared spectroscopy, enzymatic perturbation, and multiway partial least squares regression: Monitoring chymosin at work</title><title>Journal of dairy science</title><addtitle>J Dairy Sci</addtitle><description>In this study, we introduce enzymatic perturbation combined with Fourier transform infrared (FTIR) spectroscopy as a concept for quantifying casein in subcritical heated skim milk using chemometric multiway analysis. Chymosin is a protease that cleaves specifically caseins. As a result of hydrolysis, all casein proteins clot to form a creamy precipitate, and whey proteins remain in the supernatant. We monitored the cheese-clotting reaction in real time using FTIR and analyzed the resulting evolution profiles to establish calibration models using parallel factor analysis and multiway partial least squares regression. Because we observed casein-specific kinetic changes, the retrieved models were independent of the chemical background matrix and were therefore robust against possible covariance effects. We tested the robustness of the models by spiking the milk solutions with whey, calcium, and cream. This method can be used at different stages in the dairy production chain to ensure the quality of the delivered milk. In particular, the cheese-making industry can benefit from such methods to optimize production control.</description><subject>Animals</subject><subject>Calibration</subject><subject>Caseins - analysis</subject><subject>cheese</subject><subject>Cheese - analysis</subject><subject>Chymosin - metabolism</subject><subject>Food Analysis - instrumentation</subject><subject>Food Analysis - methods</subject><subject>Hot Temperature</subject><subject>Hydrolysis</subject><subject>infrared spectroscopy</subject><subject>Kinetics</subject><subject>Least-Squares Analysis</subject><subject>Milk - chemistry</subject><subject>Milk - enzymology</subject><subject>multiway</subject><subject>parallel factor analysis</subject><subject>Spectroscopy, Fourier Transform Infrared</subject><subject>Whey Proteins</subject><issn>0022-0302</issn><issn>1525-3198</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kU9v1DAQxS1ERbeFK0c0Rw7N1nb-OdxQRQtSKyQEZ8uxJ8XdxE5thyp8t343vN3CDcnSyNJv3sy8R8hbRrcla8T5nYlbTllTMNpV7QuyYTWvi5J14iXZUMp5QUvKj8lJjHf5yzitX5Fj3vKmZm29IY_f1GwN3C_KJTtYrZL1DvwAWkW0DvKLOzvBZMcdLNG6W7j0S7AYIAXl4uDDlKEhqIAG4ow6BR-1n9czQPd7nbKghhlDWkL_JH4GyhmYljHZB7XCrEKyaoQRVUwQ8yIBIwS8zSVm_APceGeTD_vR-uc6-bwEqAQPPuxek6NBjRHfPNdT8uPy0_eLz8X116svFx-vC12KKhVdrdAYLpCbQSCyrivr7EXb9n3V1bRlfd-prlWVYYwbPWClKioY63jDaF-x8pS8P-jOwd8vGJOcbNQ4jsqhX6JkgtaVaFohMro9oDr7EAMOcg52UmGVjMp9ZDJHJveRyafIcsO7Z-2ln9D8w_9mlAFxADBf-Cs7L6O26DQaG7Ld0nj7P-0_3ZKquQ</recordid><startdate>201608</startdate><enddate>201608</enddate><creator>Baum, A.</creator><creator>Hansen, P.W.</creator><creator>Nørgaard, L.</creator><creator>Sørensen, John</creator><creator>Mikkelsen, J.D.</creator><general>Elsevier Inc</general><scope>6I.</scope><scope>AAFTH</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>7X8</scope></search><sort><creationdate>201608</creationdate><title>Rapid quantification of casein in skim milk using Fourier transform infrared spectroscopy, enzymatic perturbation, and multiway partial least squares regression: Monitoring chymosin at work</title><author>Baum, A. ; Hansen, P.W. ; Nørgaard, L. ; Sørensen, John ; Mikkelsen, J.D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c384t-95aedd28e2df8ee1993502177bb495071bb9a97a4d112dcfe4a4081192610b413</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Animals</topic><topic>Calibration</topic><topic>Caseins - analysis</topic><topic>cheese</topic><topic>Cheese - analysis</topic><topic>Chymosin - metabolism</topic><topic>Food Analysis - instrumentation</topic><topic>Food Analysis - methods</topic><topic>Hot Temperature</topic><topic>Hydrolysis</topic><topic>infrared spectroscopy</topic><topic>Kinetics</topic><topic>Least-Squares Analysis</topic><topic>Milk - chemistry</topic><topic>Milk - enzymology</topic><topic>multiway</topic><topic>parallel factor analysis</topic><topic>Spectroscopy, Fourier Transform Infrared</topic><topic>Whey Proteins</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Baum, A.</creatorcontrib><creatorcontrib>Hansen, P.W.</creatorcontrib><creatorcontrib>Nørgaard, L.</creatorcontrib><creatorcontrib>Sørensen, John</creatorcontrib><creatorcontrib>Mikkelsen, J.D.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of dairy science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Baum, A.</au><au>Hansen, P.W.</au><au>Nørgaard, L.</au><au>Sørensen, John</au><au>Mikkelsen, J.D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Rapid quantification of casein in skim milk using Fourier transform infrared spectroscopy, enzymatic perturbation, and multiway partial least squares regression: Monitoring chymosin at work</atitle><jtitle>Journal of dairy science</jtitle><addtitle>J Dairy Sci</addtitle><date>2016-08</date><risdate>2016</risdate><volume>99</volume><issue>8</issue><spage>6071</spage><epage>6079</epage><pages>6071-6079</pages><issn>0022-0302</issn><eissn>1525-3198</eissn><abstract>In this study, we introduce enzymatic perturbation combined with Fourier transform infrared (FTIR) spectroscopy as a concept for quantifying casein in subcritical heated skim milk using chemometric multiway analysis. 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subjects | Animals Calibration Caseins - analysis cheese Cheese - analysis Chymosin - metabolism Food Analysis - instrumentation Food Analysis - methods Hot Temperature Hydrolysis infrared spectroscopy Kinetics Least-Squares Analysis Milk - chemistry Milk - enzymology multiway parallel factor analysis Spectroscopy, Fourier Transform Infrared Whey Proteins |
title | Rapid quantification of casein in skim milk using Fourier transform infrared spectroscopy, enzymatic perturbation, and multiway partial least squares regression: Monitoring chymosin at work |
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